Showing 79 of total 79 results (show query)
ropensci
baRcodeR:Label Creation for Tracking and Collecting Data from Biological Samples
Tools to generate unique identifier codes and printable barcoded labels for the management of biological samples. The creation of unique ID codes and printable PDF files can be initiated by standard commands, user prompts, or through a GUI addin for R Studio. Biologically informative codes can be included for hierarchically structured sampling designs.
Maintained by Robert Colautti. Last updated 1 years ago.
66.6 match 36 stars 6.95 score 49 scripts
bioc
CellBarcode:Cellular DNA Barcode Analysis toolkit
The package CellBarcode performs Cellular DNA Barcode analysis. It can handle all kinds of DNA barcodes, as long as the barcode is within a single sequencing read and has a pattern that can be matched by a regular expression. \code{CellBarcode} can handle barcodes with flexible lengths, with or without UMI (unique molecular identifier). This tool also can be used for pre-processing some amplicon data such as CRISPR gRNA screening, immune repertoire sequencing, and metagenome data.
Maintained by Wenjie Sun. Last updated 12 days ago.
preprocessingqualitycontrolsequencingcrisprampliconamplicon-sequencingcellular-barcoderustcargo
51.4 match 1 stars 5.86 score 40 scriptsbioc
TCGAutils:TCGA utility functions for data management
A suite of helper functions for checking and manipulating TCGA data including data obtained from the curatedTCGAData experiment package. These functions aim to simplify and make working with TCGA data more manageable. Exported functions include those that import data from flat files into Bioconductor objects, convert row annotations, and identifier translation via the GDC API.
Maintained by Marcel Ramos. Last updated 3 months ago.
softwareworkflowsteppreprocessingdataimportbioconductor-packagetcgau24ca289073utilities
16.2 match 26 stars 9.68 score 210 scripts 10 dependentsbioc
DNABarcodeCompatibility:A Tool for Optimizing Combinations of DNA Barcodes Used in Multiplexed Experiments on Next Generation Sequencing Platforms
The package allows one to obtain optimised combinations of DNA barcodes to be used for multiplex sequencing. In each barcode combination, barcodes are pooled with respect to Illumina chemistry constraints. Combinations can be filtered to keep those that are robust against substitution and insertion/deletion errors thereby facilitating the demultiplexing step. In addition, the package provides an optimiser function to further favor the selection of barcode combinations with least heterogeneity in barcode usage.
Maintained by Céline Trébeau. Last updated 5 months ago.
32.1 match 4.30 score 2 scriptsbioc
screenCounter:Counting Reads in High-Throughput Sequencing Screens
Provides functions for counting reads from high-throughput sequencing screen data (e.g., CRISPR, shRNA) to quantify barcode abundance. Currently supports single barcodes in single- or paired-end data, and combinatorial barcodes in paired-end data.
Maintained by Aaron Lun. Last updated 3 months ago.
crispralignmentfunctionalgenomicsfunctionalpredictionzlibcpp
27.9 match 3 stars 4.65 score 10 scriptsbioc
DNABarcodes:A tool for creating and analysing DNA barcodes used in Next Generation Sequencing multiplexing experiments
The package offers a function to create DNA barcode sets capable of correcting insertion, deletion, and substitution errors. Existing barcodes can be analysed regarding their minimal, maximal and average distances between barcodes. Finally, reads that start with a (possibly mutated) barcode can be demultiplexed, i.e., assigned to their original reference barcode.
Maintained by Tilo Buschmann. Last updated 5 months ago.
preprocessingsequencingcppopenmp
28.7 match 4.51 score 27 scriptsropensci
bold:Interface to Bold Systems API
A programmatic interface to the Web Service methods provided by Bold Systems (<http://www.boldsystems.org/>) for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Maintained by Salix Dubois. Last updated 3 months ago.
biodiversitybarcodednasequencesfastaapi-wrapperbarcodestaxize
20.5 match 18 stars 5.74 score 57 scriptsbioc
barcodetrackR:Functions for Analyzing Cellular Barcoding Data
barcodetrackR is an R package developed for the analysis and visualization of clonal tracking data. Data required is samples and tag abundances in matrix form. Usually from cellular barcoding experiments, integration site retrieval analyses, or similar technologies.
Maintained by Diego Alexander Espinoza. Last updated 5 months ago.
softwarevisualizationsequencing
20.3 match 5 stars 4.70 score 6 scriptsbioc
TCGAbiolinks:TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data
The aim of TCGAbiolinks is : i) facilitate the GDC open-access data retrieval, ii) prepare the data using the appropriate pre-processing strategies, iii) provide the means to carry out different standard analyses and iv) to easily reproduce earlier research results. In more detail, the package provides multiple methods for analysis (e.g., differential expression analysis, identifying differentially methylated regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.
Maintained by Tiago Chedraoui Silva. Last updated 27 days ago.
dnamethylationdifferentialmethylationgeneregulationgeneexpressionmethylationarraydifferentialexpressionpathwaysnetworksequencingsurvivalsoftwarebiocbioconductorgdcintegrative-analysistcgatcga-datatcgabiolinks
6.5 match 305 stars 14.45 score 1.6k scripts 6 dependents
jayemerson
barcode:Render Barcode Distribution Plots
The function \code{barcode()} produces a histogram-like plot of a distribution that shows granularity in the data.
Maintained by John W. Emerson. Last updated 3 years ago.
61.2 match 1 stars 1.48 score 10 scripts 1 dependents
satijalab
Seurat:Tools for Single Cell Genomics
A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Maintained by Paul Hoffman. Last updated 1 years ago.
human-cell-atlassingle-cell-genomicssingle-cell-rna-seqcpp
5.3 match 2.4k stars 16.86 score 50k scripts 73 dependents
samuel-marsh
scCustomize:Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Maintained by Samuel Marsh. Last updated 3 months ago.
customizationggplot2scrna-seqseuratsingle-cellsingle-cell-genomicssingle-cell-rna-seqvisualization
9.5 match 242 stars 8.75 score 1.1k scripts
boopsboops
spider:Species Identity and Evolution in R
Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.
Maintained by Rupert A. Collins. Last updated 6 years ago.
dna-barcodeednaevolutionspecies-delimitationspecies-identity
15.4 match 2 stars 5.20 score 66 scripts 1 dependentsbioc
scruff:Single Cell RNA-Seq UMI Filtering Facilitator (scruff)
A pipeline which processes single cell RNA-seq (scRNA-seq) reads from CEL-seq and CEL-seq2 protocols. Demultiplex scRNA-seq FASTQ files, align reads to reference genome using Rsubread, and generate UMI filtered count matrix. Also provide visualizations of read alignments and pre- and post-alignment QC metrics.
Maintained by Zhe Wang. Last updated 5 months ago.
softwaretechnologysequencingalignmentrnaseqsinglecellworkflowsteppreprocessingqualitycontrolvisualizationimmunooncologybioinformaticsscrna-seqsingle-cellumi
12.2 match 8 stars 6.20 score 22 scriptsbioc
DropletUtils:Utilities for Handling Single-Cell Droplet Data
Provides a number of utility functions for handling single-cell (RNA-seq) data from droplet technologies such as 10X Genomics. This includes data loading from count matrices or molecule information files, identification of cells from empty droplets, removal of barcode-swapped pseudo-cells, and downsampling of the count matrix.
Maintained by Jonathan Griffiths. Last updated 3 months ago.
immunooncologysinglecellsequencingrnaseqgeneexpressiontranscriptomicsdataimportcoveragezlibcpp
7.0 match 10.08 score 2.7k scripts 9 dependents
cnuge
debar:A Post-Clustering Denoiser for COI-5P Barcode Data
The 'debar' sequence processing pipeline is designed for denoising high throughput sequencing data for the animal DNA barcode marker cytochrome c oxidase I (COI). The package is designed to detect and correct insertion and deletion errors within sequencer outputs. This is accomplished through comparison of input sequences against a profile hidden Markov model (PHMM) using the Viterbi algorithm (for algorithm details see Durbin et al. 1998, ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs are accounted for through the introduction of a placeholder character. Since the PHMM is a probabilistic representation of the COI barcode, corrections are not always perfect. For this reason 'debar' censors base pairs adjacent to reported indel sites, turning them into placeholder characters (default is 7 base pairs in either direction, this feature can be disabled). Testing has shown that this censorship results in the correct sequence length being restored, and erroneous base pairs being masked the vast majority of the time (>95%).
Maintained by Cameron M. Nugent. Last updated 1 years ago.
bioinformaticsdenoisingdna-barcodingdna-sequencinghidden-markov-modelmachine-learning
17.1 match 1 stars 4.00 score 8 scriptsbioc
scPipe:Pipeline for single cell multi-omic data pre-processing
A preprocessing pipeline for single cell RNA-seq/ATAC-seq data that starts from the fastq files and produces a feature count matrix with associated quality control information. It can process fastq data generated by CEL-seq, MARS-seq, Drop-seq, Chromium 10x and SMART-seq protocols.
Maintained by Shian Su. Last updated 3 months ago.
immunooncologysoftwaresequencingrnaseqgeneexpressionsinglecellvisualizationsequencematchingpreprocessingqualitycontrolgenomeannotationdataimportcurlbzip2xz-utilszlibcpp
6.9 match 68 stars 9.02 score 84 scripts
grafxzahl
genBaRcode:Analysis and Visualization Tools for Genetic Barcode Data
Provides the necessary functions to identify and extract a selection of already available barcode constructs (Cornils, K. et al. (2014) <doi:10.1093/nar/gku081>) and freely choosable barcode designs from next generation sequence (NGS) data. Furthermore, it offers the possibility to account for sequence errors, the calculation of barcode similarities and provides a variety of visualisation tools (Thielecke, L. et al. (2017) <doi:10.1038/srep43249>).
Maintained by Lars Thielecke. Last updated 6 days ago.
26.0 match 2.30 score 6 scripts
abbvie-external
OmicNavigator:Open-Source Software for 'Omic' Data Analysis and Visualization
A tool for interactive exploration of the results from 'omics' experiments to facilitate novel discoveries from high-throughput biology. The software includes R functions for the 'bioinformatician' to deposit study metadata and the outputs from statistical analyses (e.g. differential expression, enrichment). These results are then exported to an interactive JavaScript dashboard that can be interrogated on the user's local machine or deployed online to be explored by collaborators. The dashboard includes 'sortable' tables, interactive plots including network visualization, and fine-grained filtering based on statistical significance.
Maintained by John Blischak. Last updated 3 days ago.
bioinformaticsgenomicsomicsopencpu
7.2 match 34 stars 7.68 score 31 scriptsbioc
amplican:Automated analysis of CRISPR experiments
`amplican` performs alignment of the amplicon reads, normalizes gathered data, calculates multiple statistics (e.g. cut rates, frameshifts) and presents results in form of aggregated reports. Data and statistics can be broken down by experiments, barcodes, user defined groups, guides and amplicons allowing for quick identification of potential problems.
Maintained by Eivind Valen. Last updated 5 months ago.
immunooncologytechnologyalignmentqpcrcrisprcpp
6.8 match 10 stars 7.54 score 41 scriptsbioc
ScreenR:Package to Perform High Throughput Biological Screening
ScreenR is a package suitable to perform hit identification in loss of function High Throughput Biological Screenings performed using barcoded shRNA-based libraries. ScreenR combines the computing power of software such as edgeR with the simplicity of use of the Tidyverse metapackage. ScreenR executes a pipeline able to find candidate hits from barcode counts, and integrates a wide range of visualization modes for each step of the analysis.
Maintained by Emanuel Michele Soda. Last updated 5 months ago.
softwareassaydomaingeneexpressionhigh-throughput-screening
16.2 match 1 stars 3.11 score 13 scriptsropensci
taxize:Taxonomic Information from Around the Web
Interacts with a suite of web application programming interfaces (API) for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more. Some of the services supported include 'NCBI E-utilities' (<https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life' (<https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity Information Facility' (<https://techdocs.gbif.org/en/openapi/>), and many more. Links to the API documentation for other supported services are available in the documentation for their respective functions in this package.
Maintained by Zachary Foster. Last updated 12 days ago.
taxonomybiologynomenclaturejsonapiwebapi-clientidentifiersspeciesnamesapi-wrapperbiodiversitydarwincoredatataxize
3.5 match 274 stars 13.63 score 1.6k scripts 23 dependentsbioc
FLAMES:FLAMES: Full Length Analysis of Mutations and Splicing in long read RNA-seq data
Semi-supervised isoform detection and annotation from both bulk and single-cell long read RNA-seq data. Flames provides automated pipelines for analysing isoforms, as well as intermediate functions for manual execution.
Maintained by Changqing Wang. Last updated 6 days ago.
rnaseqsinglecelltranscriptomicsdataimportdifferentialsplicingalternativesplicinggeneexpressionlongreadzlibcurlbzip2xz-utilscpp
5.6 match 31 stars 7.95 score 12 scripts
stuart-lab
Signac:Analysis of Single-Cell Chromatin Data
A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.
Maintained by Tim Stuart. Last updated 7 months ago.
atacbioinformaticssingle-cellzlibcpp
3.4 match 349 stars 12.19 score 3.7k scripts 1 dependentsbioc
flowPeaks:An R package for flow data clustering
A fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.
Maintained by Yongchao Ge. Last updated 4 months ago.
immunooncologyflowcytometryclusteringgatinggslcpp
6.8 match 5.91 score 30 scripts 3 dependentsbioc
frma:Frozen RMA and Barcode
Preprocessing and analysis for single microarrays and microarray batches.
Maintained by Matthew N. McCall. Last updated 5 months ago.
softwaremicroarraypreprocessing
8.3 match 4.72 score 87 scripts 1 dependentscnuge
coil:Contextualization and Evaluation of COI-5P Barcode Data
Designed for the cleaning, contextualization and assessment of cytochrome c oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It contains functions for placing COI-5P barcode sequences into a common reading frame, translating DNA sequences to amino acids and for assessing the likelihood that a given barcode sequence includes an insertion or deletion error. The error assessment relies on the comparison of input sequences against nucleotide and amino acid profile hidden Markov models (PHMMs) (for details see Durbin et al. 1998, ISBN: 9780521629713) trained on a taxonomically diverse set of reference sequences. The functions are provided as a complete pipeline and are also available individually for efficient and targeted analysis of barcode data.
Maintained by Cameron M. Nugent. Last updated 1 years ago.
13.7 match 2.88 score 15 scripts
welch-lab
rliger:Linked Inference of Genomic Experimental Relationships
Uses an extension of nonnegative matrix factorization to identify shared and dataset-specific factors. See Welch J, Kozareva V, et al (2019) <doi:10.1016/j.cell.2019.05.006>, and Liu J, Gao C, Sodicoff J, et al (2020) <doi:10.1038/s41596-020-0391-8> for more details.
Maintained by Yichen Wang. Last updated 2 months ago.
nonnegative-matrix-factorizationsingle-cellopenblascpp
3.5 match 408 stars 10.77 score 334 scripts 1 dependentsbioc
SpatialFeatureExperiment:Integrating SpatialExperiment with Simple Features in sf
A new S4 class integrating Simple Features with the R package sf to bring geospatial data analysis methods based on vector data to spatial transcriptomics. Also implements management of spatial neighborhood graphs and geometric operations. This pakage builds upon SpatialExperiment and SingleCellExperiment, hence methods for these parent classes can still be used.
Maintained by Lambda Moses. Last updated 1 months ago.
datarepresentationtranscriptomicsspatial
3.6 match 49 stars 9.40 score 322 scripts 1 dependentsbioc
MSstatsLiP:LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments
Tools for LiP peptide and protein significance analysis. Provides functions for summarization, estimation of LiP peptide abundance, and detection of changes across conditions. Utilizes functionality across the MSstats family of packages.
Maintained by Devon Kohler. Last updated 5 months ago.
immunooncologymassspectrometryproteomicssoftwaredifferentialexpressiononechanneltwochannelnormalizationqualitycontrolcpp
5.8 match 7 stars 5.62 score 5 scripts
jpquast
protti:Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Maintained by Jan-Philipp Quast. Last updated 5 months ago.
data-analysislip-msmass-spectrometryomicsproteinproteomicssystems-biology
3.8 match 61 stars 8.58 score 83 scripts
immunomind
immunarch:Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). Immunarch implements most of the widely used AIRR analysis methods, such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor databases and clonotype tracking in vaccination and cancer studies. A successor to our previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.
Maintained by Vadim I. Nazarov. Last updated 12 months ago.
airr-analysisb-cell-receptorbcrbcr-repertoirebioinformaticsigig-repertoireimmune-repertoireimmune-repertoire-analysisimmune-repertoire-dataimmunoglobulinimmunoinformaticsimmunologyrep-seqrepertoire-analysissingle-cellsingle-cell-analysist-cell-receptortcrtcr-repertoirecpp
3.4 match 315 stars 9.49 score 203 scripts
hrbrmstr
qrencoder:Quick Response Code (QR Code) / Matrix Barcode Creator
Quick Response codes (QR codes) are a type of matrix bar code and can be used to authenticate transactions, provide access to multi-factor authentication services and enable general data transfer in an image. QR codes use four standardized encoding modes (numeric, alphanumeric, byte/binary, and kanji) to efficiently store data. Matrix barcode generation is performed efficiently in C via the included 'libqrencoder' library created by Kentaro Fukuchi.
Maintained by Bob Rudis. Last updated 6 years ago.
5.0 match 61 stars 6.03 score 59 scripts 1 dependentsbioc
crisprDesign:Comprehensive design of CRISPR gRNAs for nucleases and base editors
Provides a comprehensive suite of functions to design and annotate CRISPR guide RNA (gRNAs) sequences. This includes on- and off-target search, on-target efficiency scoring, off-target scoring, full gene and TSS contextual annotations, and SNP annotation (human only). It currently support five types of CRISPR modalities (modes of perturbations): CRISPR knockout, CRISPR activation, CRISPR inhibition, CRISPR base editing, and CRISPR knockdown. All types of CRISPR nucleases are supported, including DNA- and RNA-target nucleases such as Cas9, Cas12a, and Cas13d. All types of base editors are also supported. gRNA design can be performed on reference genomes, transcriptomes, and custom DNA and RNA sequences. Both unpaired and paired gRNA designs are enabled.
Maintained by Jean-Philippe Fortin. Last updated 11 days ago.
crisprfunctionalgenomicsgenetargetbioconductorbioconductor-packagecrispr-cas9crispr-designcrispr-targetgenomics-analysisgrnagrna-sequencegrna-sequencessgrnasgrna-design
3.5 match 22 stars 8.28 score 80 scripts 3 dependents
zhangab2008
BarcodingR:Species Identification using DNA Barcodes
To perform species identification using DNA barcodes.
Maintained by Ai-bing ZHANG. Last updated 5 years ago.
19.8 match 1 stars 1.41 score 26 scripts
jphill01
HACSim:Iterative Extrapolation of Species' Haplotype Accumulation Curves for Genetic Diversity Assessment
Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008>, Phillips et al. (2019) <doi:10.1002/ece3.4757> and Phillips et al. (2020) <doi: 10.7717/peerj-cs.243>. 'HACSim' outputs a number of useful summary statistics of sampling coverage ("Measures of Sampling Closeness"), including an estimate of the likely required sample size (along with desired level confidence intervals) necessary to recover a given number/proportion of observed unique species' haplotypes. Any genomic marker can be targeted to assess likely required specimen sample sizes for genetic diversity assessment. The method is particularly well-suited to assess sampling sufficiency for DNA barcoding initiatives. Users can also simulate their own DNA sequences according to various models of nucleotide substitution. A Shiny app is also available.
Maintained by Jarrett D. Phillips. Last updated 6 months ago.
dna-barcodinghaplotype-accumulation-curvescpp
8.0 match 3.48 score 5 scriptsbioc
limma:Linear Models for Microarray and Omics Data
Data analysis, linear models and differential expression for omics data.
Maintained by Gordon Smyth. Last updated 6 days ago.
exonarraygeneexpressiontranscriptionalternativesplicingdifferentialexpressiondifferentialsplicinggenesetenrichmentdataimportbayesianclusteringregressiontimecoursemicroarraymicrornaarraymrnamicroarrayonechannelproprietaryplatformstwochannelsequencingrnaseqbatcheffectmultiplecomparisonnormalizationpreprocessingqualitycontrolbiomedicalinformaticscellbiologycheminformaticsepigeneticsfunctionalgenomicsgeneticsimmunooncologymetabolomicsproteomicssystemsbiologytranscriptomics
2.0 match 13.81 score 16k scripts 585 dependentsbioc
CATALYST:Cytometry dATa anALYSis Tools
CATALYST provides tools for preprocessing of and differential discovery in cytometry data such as FACS, CyTOF, and IMC. Preprocessing includes i) normalization using bead standards, ii) single-cell deconvolution, and iii) bead-based compensation. For differential discovery, the package provides a number of convenient functions for data processing (e.g., clustering, dimension reduction), as well as a suite of visualizations for exploratory data analysis and exploration of results from differential abundance (DA) and state (DS) analysis in order to identify differences in composition and expression profiles at the subpopulation-level, respectively.
Maintained by Helena L. Crowell. Last updated 4 months ago.
clusteringdataimportdifferentialexpressionexperimentaldesignflowcytometryimmunooncologymassspectrometrynormalizationpreprocessingsinglecellsoftwarestatisticalmethodvisualization
2.5 match 67 stars 11.06 score 362 scripts 2 dependentsbioc
icetea:Integrating Cap Enrichment with Transcript Expression Analysis
icetea (Integrating Cap Enrichment with Transcript Expression Analysis) provides functions for end-to-end analysis of multiple 5'-profiling methods such as CAGE, RAMPAGE and MAPCap, beginning from raw reads to detection of transcription start sites using replicates. It also allows performing differential TSS detection between group of samples, therefore, integrating the mRNA cap enrichment information with transcript expression analysis.
Maintained by Vivek Bhardwaj. Last updated 5 months ago.
immunooncologytranscriptiongeneexpressionsequencingrnaseqtranscriptomicsdifferentialexpressioncageexpressionrna-seq
5.2 match 2 stars 5.08 score 7 scriptsbioc
TRONCO:TRONCO, an R package for TRanslational ONCOlogy
The TRONCO (TRanslational ONCOlogy) R package collects algorithms to infer progression models via the approach of Suppes-Bayes Causal Network, both from an ensemble of tumors (cross-sectional samples) and within an individual patient (multi-region or single-cell samples). The package provides parallel implementation of algorithms that process binary matrices where each row represents a tumor sample and each column a single-nucleotide or a structural variant driving the progression; a 0/1 value models the absence/presence of that alteration in the sample. The tool can import data from plain, MAF or GISTIC format files, and can fetch it from the cBioPortal for cancer genomics. Functions for data manipulation and visualization are provided, as well as functions to import/export such data to other bioinformatics tools for, e.g, clustering or detection of mutually exclusive alterations. Inferred models can be visualized and tested for their confidence via bootstrap and cross-validation. TRONCO is used for the implementation of the Pipeline for Cancer Inference (PICNIC).
Maintained by Luca De Sano. Last updated 5 months ago.
biomedicalinformaticsbayesiangraphandnetworksomaticmutationnetworkinferencenetworkclusteringdataimportsinglecellimmunooncologyalgorithmscancer-inferencetumors
4.0 match 30 stars 6.50 score 38 scriptsbioc
maftools:Summarize, Analyze and Visualize MAF Files
Analyze and visualize Mutation Annotation Format (MAF) files from large scale sequencing studies. This package provides various functions to perform most commonly used analyses in cancer genomics and to create feature rich customizable visualzations with minimal effort.
Maintained by Anand Mayakonda. Last updated 5 months ago.
datarepresentationdnaseqvisualizationdrivermutationvariantannotationfeatureextractionclassificationsomaticmutationsequencingfunctionalgenomicssurvivalbioinformaticscancer-genome-atlascancer-genomicsgenomicsmaf-filestcgacurlbzip2xz-utilszlib
1.7 match 459 stars 14.63 score 948 scripts 18 dependentsbioc
alevinQC:Generate QC Reports For Alevin Output
Generate QC reports summarizing the output from an alevin, alevin-fry, or simpleaf run. Reports can be generated as html or pdf files, or as shiny applications.
Maintained by Charlotte Soneson. Last updated 3 months ago.
3.5 match 31 stars 6.89 score 21 scripts
ahb108
rcarbon:Calibration and Analysis of Radiocarbon Dates
Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Maintained by Enrico Crema. Last updated 6 months ago.
3.0 match 34 stars 8.14 score 274 scripts 2 dependents
flavjack
huito:Reproducible and Flexible Label Design
An open-source R package to deploys reproducible and flexible labels using layers. The 'huito' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Maintained by Flavio Lozano-Isla. Last updated 6 months ago.
4.5 match 1 stars 4.79 score 31 scriptsbioc
demuxmix:Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models
A package for demultiplexing single-cell sequencing experiments of pooled cells labeled with barcode oligonucleotides. The package implements methods to fit regression mixture models for a probabilistic classification of cells, including multiplet detection. Demultiplexing error rates can be estimated, and methods for quality control are provided.
Maintained by Hans-Ulrich Klein. Last updated 5 months ago.
singlecellsequencingpreprocessingclassificationregression
3.3 match 5 stars 5.76 score 19 scripts 1 dependentsbioc
methylumi:Handle Illumina methylation data
This package provides classes for holding and manipulating Illumina methylation data. Based on eSet, it can contain MIAME information, sample information, feature information, and multiple matrices of data. An "intelligent" import function, methylumiR can read the Illumina text files and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files from HumanMethylation27 and HumanMethylation450 microarrays. Normalization, background correction, and quality control features for GoldenGate, Infinium, and Infinium HD arrays are also included.
Maintained by Sean Davis. Last updated 5 months ago.
dnamethylationtwochannelpreprocessingqualitycontrolcpgisland
1.8 match 9 stars 9.90 score 89 scripts 9 dependentsbioc
MPRAnalyze:Statistical Analysis of MPRA data
MPRAnalyze provides statistical framework for the analysis of data generated by Massively Parallel Reporter Assays (MPRAs), used to directly measure enhancer activity. MPRAnalyze can be used for quantification of enhancer activity, classification of active enhancers and comparative analyses of enhancer activity between conditions. MPRAnalyze construct a nested pair of generalized linear models (GLMs) to relate the DNA and RNA observations, easily adjustable to various experimental designs and conditions, and provides a set of rigorous statistical testig schemes.
Maintained by Tal Ashuach. Last updated 5 months ago.
immunooncologysoftwarestatisticalmethodsequencinggeneexpressioncellbiologycellbasedassaysdifferentialexpressionexperimentaldesignclassification
2.5 match 12 stars 6.86 score 30 scriptsbioc
ChromSCape:Analysis of single-cell epigenomics datasets with a Shiny App
ChromSCape - Chromatin landscape profiling for Single Cells - is a ready-to-launch user-friendly Shiny Application for the analysis of single-cell epigenomics datasets (scChIP-seq, scATAC-seq, scCUT&Tag, ...) from aligned data to differential analysis & gene set enrichment analysis. It is highly interactive, enables users to save their analysis and covers a wide range of analytical steps: QC, preprocessing, filtering, batch correction, dimensionality reduction, vizualisation, clustering, differential analysis and gene set analysis.
Maintained by Pacome Prompsy. Last updated 5 months ago.
shinyappssoftwaresinglecellchipseqatacseqmethylseqclassificationclusteringepigeneticsprincipalcomponentannotationbatcheffectmultiplecomparisonnormalizationpathwayspreprocessingqualitycontrolreportwritingvisualizationgenesetenrichmentdifferentialpeakcallingepigenomicsshinysingle-cellcpp
2.9 match 14 stars 5.83 score 16 scripts
mw201608
SuperExactTest:Exact Test and Visualization of Multi-Set Intersections
Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.
Maintained by Minghui Wang. Last updated 1 years ago.
intersectionsetstatisticsvisualization
2.3 match 28 stars 7.47 score 70 scripts 1 dependents
cran
sidier:Substitution and Indel Distances to Infer Evolutionary Relationships
Evolutionary reconstruction based on substitutions and insertion-deletion (indels) analyses in a distance-based framework.
Maintained by A.J. Muñoz-Pajares. Last updated 4 years ago.
10.8 match 1.56 score 36 scriptsbioc
BUSpaRse:kallisto | bustools R utilities
The kallisto | bustools pipeline is a fast and modular set of tools to convert single cell RNA-seq reads in fastq files into gene count or transcript compatibility counts (TCC) matrices for downstream analysis. Central to this pipeline is the barcode, UMI, and set (BUS) file format. This package serves the following purposes: First, this package allows users to manipulate BUS format files as data frames in R and then convert them into gene count or TCC matrices. Furthermore, since R and Rcpp code is easier to handle than pure C++ code, users are encouraged to tweak the source code of this package to experiment with new uses of BUS format and different ways to convert the BUS file into gene count matrix. Second, this package can conveniently generate files required to generate gene count matrices for spliced and unspliced transcripts for RNA velocity. Here biotypes can be filtered and scaffolds and haplotypes can be removed, and the filtered transcriptome can be extracted and written to disk. Third, this package implements utility functions to get transcripts and associated genes required to convert BUS files to gene count matrices, to write the transcript to gene information in the format required by bustools, and to read output of bustools into R as sparses matrices.
Maintained by Lambda Moses. Last updated 5 months ago.
singlecellrnaseqworkflowstepcpp
2.3 match 9 stars 7.35 score 165 scriptsbioc
bcSeq:Fast Sequence Mapping in High-Throughput shRNA and CRISPR Screens
This Rcpp-based package implements a highly efficient data structure and algorithm for performing alignment of short reads from CRISPR or shRNA screens to reference barcode library. Sequencing error are considered and matching qualities are evaluated based on Phred scores. A Bayes' classifier is employed to predict the originating barcode of a read. The package supports provision of user-defined probability models for evaluating matching qualities. The package also supports multi-threading.
Maintained by Jiaxing Lin. Last updated 5 months ago.
immunooncologyalignmentcrisprsequencingsequencematchingmultiplesequencealignmentsoftwareatacseqcpp
5.8 match 2.78 score 2 scriptsbioc
epivizrChart:R interface to epiviz web components
This package provides an API for interactive visualization of genomic data using epiviz web components. Objects in R/BioConductor can be used to generate interactive R markdown/notebook documents or can be visualized in the R Studio's default viewer.
Maintained by Hector Corrada Bravo. Last updated 5 months ago.
3.4 match 4.68 score 12 scriptsbioc
GUIDEseq:GUIDE-seq and PEtag-seq analysis pipeline
The package implements GUIDE-seq and PEtag-seq analysis workflow including functions for filtering UMI and reads with low coverage, obtaining unique insertion sites (proxy of cleavage sites), estimating the locations of the insertion sites, aka, peaks, merging estimated insertion sites from plus and minus strand, and performing off target search of the extended regions around insertion sites with mismatches and indels.
Maintained by Lihua Julie Zhu. Last updated 5 months ago.
immunooncologygeneregulationsequencingworkflowstepcrispr
3.4 match 4.45 score 14 scripts
rrrlw
TDAstats:Pipeline for Topological Data Analysis
A comprehensive toolset for any useR conducting topological data analysis, specifically via the calculation of persistent homology in a Vietoris-Rips complex. The tools this package currently provides can be conveniently split into three main sections: (1) calculating persistent homology; (2) conducting statistical inference on persistent homology calculations; (3) visualizing persistent homology and statistical inference. The published form of TDAstats can be found in Wadhwa et al. (2018) <doi:10.21105/joss.00860>. For a general background on computing persistent homology for topological data analysis, see Otter et al. (2017) <doi:10.1140/epjds/s13688-017-0109-5>. To learn more about how the permutation test is used for nonparametric statistical inference in topological data analysis, read Robinson & Turner (2017) <doi:10.1007/s41468-017-0008-7>. To learn more about how TDAstats calculates persistent homology, you can visit the GitHub repository for Ripser, the software that works behind the scenes at <https://github.com/Ripser/ripser>. This package has been published as Wadhwa et al. (2018) <doi:10.21105/joss.00860>.
Maintained by Raoul Wadhwa. Last updated 3 years ago.
data-scienceggplot2homologyhomology-calculationshomology-computationjosspersistent-homologypipelineripsertdatopological-data-analysistopologytopology-visualizationvisualizationcpp
1.8 match 40 stars 8.30 score 46 scripts 4 dependentsbioc
scDblFinder:scDblFinder
The scDblFinder package gathers various methods for the detection and handling of doublets/multiplets in single-cell sequencing data (i.e. multiple cells captured within the same droplet or reaction volume). It includes methods formerly found in the scran package, the new fast and comprehensive scDblFinder method, and a reimplementation of the Amulet detection method for single-cell ATAC-seq.
Maintained by Pierre-Luc Germain. Last updated 2 months ago.
preprocessingsinglecellrnaseqatacseqdoubletssingle-cell
1.1 match 184 stars 12.34 score 888 scripts 1 dependentsbioc
scCB2:CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data
scCB2 is an R package implementing CB2 for distinguishing real cells from empty droplets in droplet-based single cell RNA-seq experiments (especially for 10x Chromium). It is based on clustering similar barcodes and calculating Monte-Carlo p-value for each cluster to test against background distribution. This cluster-level test outperforms single-barcode-level tests in dealing with low count barcodes and homogeneous sequencing library, while keeping FDR well controlled.
Maintained by Zijian Ni. Last updated 5 months ago.
dataimportrnaseqsinglecellsequencinggeneexpressiontranscriptomicspreprocessingclustering
2.6 match 10 stars 5.30 score 5 scripts
cozygene
BisqueRNA:Decomposition of Bulk Expression with Single-Cell Sequencing
Provides tools to accurately estimate cell type abundances from heterogeneous bulk expression. A reference-based method utilizes single-cell information to generate a signature matrix and transformation of bulk expression for accurate regression based estimates. A marker-based method utilizes known cell-specific marker genes to measure relative abundances across samples. For more details, see Jew and Alvarez et al (2019) <doi:10.1101/669911>.
Maintained by Brandon Jew. Last updated 4 years ago.
1.9 match 72 stars 6.95 score 124 scriptsbioc
UMI4Cats:UMI4Cats: Processing, analysis and visualization of UMI-4C chromatin contact data
UMI-4C is a technique that allows characterization of 3D chromatin interactions with a bait of interest, taking advantage of a sonication step to produce unique molecular identifiers (UMIs) that help remove duplication bias, thus allowing a better differential comparsion of chromatin interactions between conditions. This package allows processing of UMI-4C data, starting from FastQ files provided by the sequencing facility. It provides two statistical methods for detecting differential contacts and includes a visualization function to plot integrated information from a UMI-4C assay.
Maintained by Mireia Ramos-Rodriguez. Last updated 5 months ago.
qualitycontrolpreprocessingalignmentnormalizationvisualizationsequencingcoveragechromatinchromatin-interactiongenomicsumi4c
1.8 match 5 stars 5.57 score 7 scriptsbioc
VisiumIO:Import Visium data from the 10X Space Ranger pipeline
The package allows users to readily import spatial data obtained from either the 10X website or from the Space Ranger pipeline. Supported formats include tar.gz, h5, and mtx files. Multiple files can be imported at once with *List type of functions. The package represents data mainly as SpatialExperiment objects.
Maintained by Marcel Ramos. Last updated 1 months ago.
softwareinfrastructuredataimportsinglecellspatialbioconductor-packagegenomicsu24ca289073
1.8 match 5.50 score 14 scripts 1 dependents
helixcn
phylotools:Phylogenetic Tools for Eco-Phylogenetics
A collection of tools for building RAxML supermatrix using PHYLIP or aligned FASTA files. These functions will be useful for building large phylogenies using multiple markers.
Maintained by Jinlong Zhang. Last updated 5 months ago.
1.2 match 11 stars 7.31 score 368 scriptsbioc
hiReadsProcessor:Functions to process LM-PCR reads from 454/Illumina data
hiReadsProcessor contains set of functions which allow users to process LM-PCR products sequenced using any platform. Given an excel/txt file containing parameters for demultiplexing and sample metadata, the functions automate trimming of adaptors and identification of the genomic product. Genomic products are further processed for QC and abundance quantification.
Maintained by Nirav V Malani. Last updated 5 months ago.
2.0 match 4.18 score 7 scripts
archidart
archiDART:Plant Root System Architecture Analysis Using DART and RSML Files
Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
Maintained by Benjamin M Delory. Last updated 4 years ago.
2.0 match 2 stars 4.02 score 13 scriptscran
Platypus:Single-Cell Immune Repertoire and Gene Expression Analysis
We present 'Platypus', an open-source software platform providing a user-friendly interface to investigate B-cell receptor and T-cell receptor repertoires from scSeq experiments. 'Platypus' provides a framework to automate and ease the analysis of single-cell immune repertoires while also incorporating transcriptional information involving unsupervised clustering, gene expression and gene ontology. This R version of 'Platypus' is part of the 'ePlatypus' ecosystem for computational analysis of immunogenomics data: Yermanos et al. (2021) <doi:10.1093/nargab/lqab023>, Cotet et al. (2023) <doi:10.1093/bioinformatics/btad553>.
Maintained by Alexander Yermanos. Last updated 5 months ago.
1.7 match 4.58 score 38 scripts
cogdisreslab
KRSA:KRSA: Kinome Random Sampling Analyzer
The goal of this package is to analyze the PamChip data and identify the changes in the active kinome. The package can preprocess the PamChip data output from BioNavigator and use Random Sampling and Permutation Analysis to identify upstream kinases. Additionally, this package provides a set of useful visualizations for the PamChip data.
Maintained by Ali Sajid Imami. Last updated 11 days ago.
kinasephosphatasespamchipkinomerandom samplingpermutation analysis
1.7 match 4 stars 4.42 score 49 scripts
joeymays
karyotapR:DNA Copy Number Analysis for Genome-Wide Tapestri Panels
Analysis of DNA copy number in single cells using custom genome-wide targeted DNA sequencing panels for the Mission Bio Tapestri platform. Users can easily parse, manipulate, and visualize datasets produced from the automated 'Tapestri Pipeline', with support for normalization, clustering, and copy number calling. Functions are also available to deconvolute multiplexed samples by genotype and parsing barcoded reads from exogenous lentiviral constructs.
Maintained by Joseph Mays. Last updated 1 years ago.
2.3 match 1 stars 3.16 score 29 scriptsbioc
flowCyBar:Analyze flow cytometric data using gate information
A package to analyze flow cytometric data using gate information to follow population/community dynamics
Maintained by Joachim Schumann. Last updated 5 months ago.
immunooncologycellbasedassaysclusteringflowcytometrysoftwarevisualization
1.7 match 4.15 score 1 scripts
rgyoung6
MACER:Molecular Acquisition, Cleaning, and Evaluation in R 'MACER'
To assist biological researchers in assembling taxonomically and marker focused molecular sequence data sets. 'MACER' accepts a list of genera as a user input and uses NCBI-GenBank and BOLD as resources to download and assemble molecular sequence datasets. These datasets are then assembled by marker, aligned, trimmed, and cleaned. The use of this package allows the publication of specific parameters to ensure reproducibility. The 'MACER' package has four core functions and an example run through using all of these functions can be found in the associated repository <https://github.com/rgyoung6/MACER_example>.
Maintained by Robert G Young. Last updated 1 years ago.
2.0 match 2 stars 3.00 score 3 scripts
shixiangwang
IDConverter:Convert Identifiers in Biological Databases
Identifiers in biological databases connect different levels of metadata, phenotype data or genotype data. This tool is designed to easily convert identifiers within or between different biological databases (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).
Maintained by Shixiang Wang. Last updated 2 years ago.
1.8 match 9 stars 3.00 score 22 scripts
mcanouil
NACHO:NanoString Quality Control Dashboard
NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Maintained by Mickaël Canouil. Last updated 1 years ago.
mirnamrnananostringnormalisationquality-controlshiny
0.9 match 8 stars 5.41 score 32 scriptsbioc
RTCGA:The Cancer Genome Atlas Data Integration
The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes. The key is to understand genomics to improve cancer care. RTCGA package offers download and integration of the variety and volume of TCGA data using patient barcode key, what enables easier data possession. This may have an benefcial infuence on impact on development of science and improvement of patients' treatment. Furthermore, RTCGA package transforms TCGA data to tidy form which is convenient to use.
Maintained by Marcin Kosinski. Last updated 5 months ago.
immunooncologysoftwaredataimportdatarepresentationpreprocessingrnaseqsurvivaldnamethylationprincipalcomponentvisualization
0.5 match 51 stars 8.91 score 106 scripts 1 dependents
kisungyou
TDAkit:Toolkit for Topological Data Analysis
Topological data analysis studies structure and shape of the data using topological features. We provide a variety of algorithms to learn with persistent homology of the data based on functional summaries for clustering, hypothesis testing, visualization, and others. We refer to Wasserman (2018) <doi:10.1146/annurev-statistics-031017-100045> for a statistical perspective on the topic.
Maintained by Kisung You. Last updated 4 years ago.
1.8 match 2 stars 2.30 score 4 scripts
eric-hunt
htce:A set of internal tools for managing high-throughput assay data at NEB
What the package does (one paragraph).
Maintained by Eric Hunt. Last updated 9 months ago.
3.7 match 1.00 scorebioc
SpotClean:SpotClean adjusts for spot swapping in spatial transcriptomics data
SpotClean is a computational method to adjust for spot swapping in spatial transcriptomics data. Recent spatial transcriptomics experiments utilize slides containing thousands of spots with spot-specific barcodes that bind mRNA. Ideally, unique molecular identifiers at a spot measure spot-specific expression, but this is often not the case due to bleed from nearby spots, an artifact we refer to as spot swapping. SpotClean is able to estimate the contamination rate in observed data and decontaminate the spot swapping effect, thus increase the sensitivity and precision of downstream analyses.
Maintained by Zijian Ni. Last updated 5 months ago.
dataimportrnaseqsequencinggeneexpressionspatialsinglecelltranscriptomicspreprocessingrna-seqspatial-transcriptomics
0.5 match 28 stars 6.48 score 36 scripts
ternaustralia
ausplotsR:TERN AusPlots Australian Ecosystem Monitoring Data
Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).
Maintained by Greg Guerin. Last updated 1 years ago.
0.5 match 10 stars 6.07 score 59 scripts
yangcq-ivy
NicheBarcoding:Niche-model-Based Species Identification
Species Identification using DNA Barcodes Integrated with Environmental Niche Models.
Maintained by Cai-qing YANG. Last updated 7 months ago.
0.6 match 1 stars 4.18 score 7 scriptsjayemerson
YaleToolkit:Data Exploration Tools from Yale University
This collection of data exploration tools was developed at Yale University for the graphical exploration of complex multivariate data; barcode and gpairs now have their own packages. The big.read.table() function provided here may be useful for large files when only a subset is needed (but please see the note in the help page for this function).
Maintained by John W. Emerson. Last updated 3 years ago.
0.5 match 1.54 score 35 scripts