Showing 19 of total 19 results (show query)
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plotgardener:Coordinate-Based Genomic Visualization Package for R
Coordinate-based genomic visualization package for R. It grants users the ability to programmatically produce complex, multi-paneled figures. Tailored for genomics, plotgardener allows users to visualize large complex genomic datasets and provides exquisite control over how plots are placed and arranged on a page.
Maintained by Nicole Kramer. Last updated 5 months ago.
visualizationgenomeannotationfunctionalgenomicsgenomeassemblyhiccpp
309 stars 10.17 score 167 scripts 3 dependentsbioc
nullranges:Generation of null ranges via bootstrapping or covariate matching
Modular package for generation of sets of ranges representing the null hypothesis. These can take the form of bootstrap samples of ranges (using the block bootstrap framework of Bickel et al 2010), or sets of control ranges that are matched across one or more covariates. nullranges is designed to be inter-operable with other packages for analysis of genomic overlap enrichment, including the plyranges Bioconductor package.
Maintained by Michael Love. Last updated 5 months ago.
visualizationgenesetenrichmentfunctionalgenomicsepigeneticsgeneregulationgenetargetgenomeannotationannotationgenomewideassociationhistonemodificationchipseqatacseqdnaseseqrnaseqhiddenmarkovmodelbioconductorbootstrapgenomicsmatchingstatistics
27 stars 8.16 score 50 scripts 1 dependentsbioc
SingleMoleculeFootprinting:Analysis tools for Single Molecule Footprinting (SMF) data
SingleMoleculeFootprinting provides functions to analyze Single Molecule Footprinting (SMF) data. Following the workflow exemplified in its vignette, the user will be able to perform basic data analysis of SMF data with minimal coding effort. Starting from an aligned bam file, we show how to perform quality controls over sequencing libraries, extract methylation information at the single molecule level accounting for the two possible kind of SMF experiments (single enzyme or double enzyme), classify single molecules based on their patterns of molecular occupancy, plot SMF information at a given genomic location.
Maintained by Guido Barzaghi. Last updated 7 days ago.
dnamethylationcoveragenucleosomepositioningdatarepresentationepigeneticsmethylseqqualitycontrolsequencing
2 stars 6.46 score 27 scriptsbioc
cfDNAPro:cfDNAPro extracts and Visualises biological features from whole genome sequencing data of cell-free DNA
cfDNA fragments carry important features for building cancer sample classification ML models, such as fragment size, and fragment end motif etc. Analyzing and visualizing fragment size metrics, as well as other biological features in a curated, standardized, scalable, well-documented, and reproducible way might be time intensive. This package intends to resolve these problems and simplify the process. It offers two sets of functions for cfDNA feature characterization and visualization.
Maintained by Haichao Wang. Last updated 5 months ago.
visualizationsequencingwholegenomebioinformaticscancer-genomicscancer-researchcell-free-dnaearly-detectiongenomics-visualizationliquid-biopsyswgswhole-genome-sequencing
29 stars 6.18 score 13 scriptsbioc
tidyomics:Easily install and load the tidyomics ecosystem
The tidyomics ecosystem is a set of packages for ’omic data analysis that work together in harmony; they share common data representations and API design, consistent with the tidyverse ecosystem. The tidyomics package is designed to make it easy to install and load core packages from the tidyomics ecosystem with a single command.
Maintained by Stefano Mangiola. Last updated 5 months ago.
assaydomaininfrastructurernaseqdifferentialexpressiongeneexpressionnormalizationclusteringqualitycontrolsequencingtranscriptiontranscriptomicscytometrygenomicstidyverse
67 stars 6.13 score 5 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
9 stars 5.87 score 165 scriptsbioc
GenomicPlot:Plot profiles of next generation sequencing data in genomic features
Visualization of next generation sequencing (NGS) data is essential for interpreting high-throughput genomics experiment results. 'GenomicPlot' facilitates plotting of NGS data in various formats (bam, bed, wig and bigwig); both coverage and enrichment over input can be computed and displayed with respect to genomic features (such as UTR, CDS, enhancer), and user defined genomic loci or regions. Statistical tests on signal intensity within user defined regions of interest can be performed and represented as boxplots or bar graphs. Parallel processing is used to speed up computation on multicore platforms. In addition to genomic plots which is suitable for displaying of coverage of genomic DNA (such as ChIPseq data), metagenomic (without introns) plots can also be made for RNAseq or CLIPseq data as well.
Maintained by Shuye Pu. Last updated 2 months ago.
alternativesplicingchipseqcoveragegeneexpressionrnaseqsequencingsoftwaretranscriptionvisualizationannotation
5 stars 5.78 score 4 scriptsbioc
multicrispr:Multi-locus multi-purpose Crispr/Cas design
This package is for designing Crispr/Cas9 and Prime Editing experiments. It contains functions to (1) define and transform genomic targets, (2) find spacers (4) count offtarget (mis)matches, and (5) compute Doench2016/2014 targeting efficiency. Care has been taken for multicrispr to scale well towards large target sets, enabling the design of large Crispr/Cas9 libraries.
Maintained by Aditya Bhagwat. Last updated 4 months ago.
5.56 score 2 scriptsbioc
DegCre:Probabilistic association of DEGs to CREs from differential data
DegCre generates associations between differentially expressed genes (DEGs) and cis-regulatory elements (CREs) based on non-parametric concordance between differential data. The user provides GRanges of DEG TSS and CRE regions with differential p-value and optionally log-fold changes and DegCre returns an annotated Hits object with associations and their calculated probabilities. Additionally, the package provides functionality for visualization and conversion to other formats.
Maintained by Brian S. Roberts. Last updated 4 months ago.
geneexpressiongeneregulationatacseqchipseqdnaseseqrnaseq
5 stars 5.30 score 2 scriptsbioc
Damsel:Damsel: an end to end analysis of DamID
Damsel provides an end to end analysis of DamID data. Damsel takes bam files from Dam-only control and fusion samples and counts the reads matching to each GATC region. edgeR is utilised to identify regions of enrichment in the fusion relative to the control. Enriched regions are combined into peaks, and are associated with nearby genes. Damsel allows for IGV style plots to be built as the results build, inspired by ggcoverage, and using the functionality and layering ability of ggplot2. Damsel also conducts gene ontology testing with bias correction through goseq, and future versions of Damsel will also incorporate motif enrichment analysis. Overall, Damsel is the first package allowing for an end to end analysis with visual capabilities. The goal of Damsel was to bring all the analysis into one place, and allow for exploratory analysis within R.
Maintained by Caitlin Page. Last updated 5 months ago.
differentialmethylationpeakdetectiongenepredictiongenesetenrichment
5.20 score 20 scriptsbioc
methylCC:Estimate the cell composition of whole blood in DNA methylation samples
A tool to estimate the cell composition of DNA methylation whole blood sample measured on any platform technology (microarray and sequencing).
Maintained by Stephanie C. Hicks. Last updated 5 months ago.
microarraysequencingdnamethylationmethylationarraymethylseqwholegenome
19 stars 5.18 score 8 scriptsbioc
katdetectr:Detection, Characterization and Visualization of Kataegis in Sequencing Data
Kataegis refers to the occurrence of regional hypermutation and is a phenomenon observed in a wide range of malignancies. Using changepoint detection katdetectr aims to identify putative kataegis foci from common data-formats housing genomic variants. Katdetectr has shown to be a robust package for the detection, characterization and visualization of kataegis.
Maintained by Daan Hazelaar. Last updated 5 months ago.
wholegenomesoftwaresnpsequencingclassificationvariantannotation
5 stars 5.00 score 4 scriptsbioc
mariner:Mariner: Explore the Hi-Cs
Tools for manipulating paired ranges and working with Hi-C data in R. Functionality includes manipulating/merging paired regions, generating paired ranges, extracting/aggregating interactions from `.hic` files, and visualizing the results. Designed for compatibility with plotgardener for visualization.
Maintained by Eric Davis. Last updated 5 months ago.
functionalgenomicsvisualizationhic
4.89 score 77 scriptsbioc
plyinteractions:Extending tidy verbs to genomic interactions
Operate on `GInteractions` objects as tabular data using `dplyr`-like verbs. The functions and methods in `plyinteractions` provide a grammatical approach to manipulate `GInteractions`, to facilitate their integration in genomic analysis workflows.
Maintained by Jacques Serizay. Last updated 5 months ago.
4.75 score 14 scriptsbioc
Ularcirc:Shiny app for canonical and back splicing analysis (i.e. circular and mRNA analysis)
Ularcirc reads in STAR aligned splice junction files and provides visualisation and analysis tools for splicing analysis. Users can assess backsplice junctions and forward canonical junctions.
Maintained by David Humphreys. Last updated 5 months ago.
datarepresentationvisualizationgeneticssequencingannotationcoveragealternativesplicingdifferentialsplicing
4.30 score 4 scriptsbioc
InPAS:Identify Novel Alternative PolyAdenylation Sites (PAS) from RNA-seq data
Alternative polyadenylation (APA) is one of the important post- transcriptional regulation mechanisms which occurs in most human genes. InPAS facilitates the discovery of novel APA sites and the differential usage of APA sites from RNA-Seq data. It leverages cleanUpdTSeq to fine tune identified APA sites by removing false sites.
Maintained by Jianhong Ou. Last updated 3 months ago.
alternative polyadenylationdifferential polyadenylation site usagerna-seqgene regulationtranscription
4.30 score 1 scriptsbioc
nearBynding:Discern RNA structure proximal to protein binding
Provides a pipeline to discern RNA structure at and proximal to the site of protein binding within regions of the transcriptome defined by the user. CLIP protein-binding data can be input as either aligned BAM or peak-called bedGraph files. RNA structure can either be predicted internally from sequence or users have the option to input their own RNA structure data. RNA structure binding profiles can be visually and quantitatively compared across multiple formats.
Maintained by Veronica Busa. Last updated 5 months ago.
visualizationmotifdiscoverydatarepresentationstructuralpredictionclusteringmultiplecomparison
4.08 score 12 scriptsbioc
SARC:Statistical Analysis of Regions with CNVs
Imports a cov/coverage file (normalised read coverages from BAM files) and a cnv file (list of CNVs - similiar to a BED file) from WES/ WGS CNV (copy number variation) detection pipelines and utilises several metrics to weigh the likelihood of a sample containing a detected CNV being a true CNV or a false positive. Highly useful for diagnostic testing to filter out false positives to provide clinicians with fewer variants to interpret. SARC uniquely only used cov and csv (similiar to BED file) files which are the common CNV pipeline calling filetypes, and can be used as to supplement the Interactive Genome Browser (IGV) to generate many figures automatedly, which can be especially helpful in large cohorts with 100s-1000s of patients.
Maintained by Krutik Patel. Last updated 5 months ago.
softwarecopynumbervariationvisualizationdnaseqsequencing
4.00 score 2 scriptsbioc
BOBaFIT:Refitting diploid region profiles using a clustering procedure
This package provides a method to refit and correct the diploid region in copy number profiles. It uses a clustering algorithm to identify pathology-specific normal (diploid) chromosomes and then use their copy number signal to refit the whole profile. The package is composed by three functions: DRrefit (the main function), ComputeNormalChromosome and PlotCluster.
Maintained by Gaia Mazzocchetti. Last updated 5 months ago.
copynumbervariationclusteringvisualizationnormalizationsoftware
3.90 score 3 scripts