Showing 64 of total 64 results (show query)
bioc
factR:Functional Annotation of Custom Transcriptomes
factR contain tools to process and interact with custom-assembled transcriptomes (GTF). At its core, factR constructs CDS information on custom transcripts and subsequently predicts its functional output. In addition, factR has tools capable of plotting transcripts, correcting chromosome and gene information and shortlisting new transcripts.
Maintained by Fursham Hamid. Last updated 5 months ago.
alternativesplicingfunctionalpredictiongenepredictioncustom-transcriptomesfunctional-annotationgtfrna-seq-analysis
29.6 match 1 stars 4.00 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
11.4 match 9 stars 7.35 score 165 scriptsbioc
ORFik:Open Reading Frames in Genomics
R package for analysis of transcript and translation features through manipulation of sequence data and NGS data like Ribo-Seq, RNA-Seq, TCP-Seq and CAGE. It is generalized in the sense that any transcript region can be analysed, as the name hints to it was made with investigation of ribosomal patterns over Open Reading Frames (ORFs) as it's primary use case. ORFik is extremely fast through use of C++, data.table and GenomicRanges. Package allows to reassign starts of the transcripts with the use of CAGE-Seq data, automatic shifting of RiboSeq reads, finding of Open Reading Frames for whole genomes and much more.
Maintained by Haakon Tjeldnes. Last updated 27 days ago.
immunooncologysoftwaresequencingriboseqrnaseqfunctionalgenomicscoveragealignmentdataimportcpp
7.3 match 33 stars 10.63 score 115 scripts 2 dependentsbioc
bambu:Context-Aware Transcript Quantification from Long Read RNA-Seq data
bambu is a R package for multi-sample transcript discovery and quantification using long read RNA-Seq data. You can use bambu after read alignment to obtain expression estimates for known and novel transcripts and genes. The output from bambu can directly be used for visualisation and downstream analysis such as differential gene expression or transcript usage.
Maintained by Ying Chen. Last updated 1 months ago.
alignmentcoveragedifferentialexpressionfeatureextractiongeneexpressiongenomeannotationgenomeassemblyimmunooncologylongreadmultiplecomparisonnormalizationrnaseqregressionsequencingsoftwaretranscriptiontranscriptomicsbambubioconductorlong-readsnanoporenanopore-sequencingrna-seqrna-seq-analysistranscript-quantificationtranscript-reconstructioncpp
7.8 match 197 stars 9.03 score 91 scripts 1 dependents
ropensci
biomartr:Genomic Data Retrieval
Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized way to automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and metagenome retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', and 'UniProt' databases. Furthermore, an interface to the 'BioMart' database (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve functional annotation for genomic loci. In addition, users can download entire databases such as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr', 'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. with only one command.
Maintained by Hajk-Georg Drost. Last updated 1 months ago.
biomartgenomic-data-retrievalannotation-retrievaldatabase-retrievalncbiensemblbiological-data-retrievalensembl-serversgenomegenome-annotationgenome-retrievalgenomicsmeta-analysismetagenomicsncbi-genbankpeer-reviewedproteomesequenced-genomes
5.0 match 218 stars 11.35 score 129 scripts 3 dependentsbioc
ballgown:Flexible, isoform-level differential expression analysis
Tools for statistical analysis of assembled transcriptomes, including flexible differential expression analysis, visualization of transcript structures, and matching of assembled transcripts to annotation.
Maintained by Jack Fu. Last updated 5 months ago.
immunooncologyrnaseqstatisticalmethodpreprocessingdifferentialexpression
5.2 match 146 stars 10.51 score 338 scripts 1 dependents
fischuu
GenomicTools.fileHandler:File Handlers for Genomic Data Analysis
A collection of I/O tools for handling the most commonly used genomic datafiles, like fasta/-q, bed, gff, gtf, ped/map and vcf.
Maintained by Daniel Fischer. Last updated 1 months ago.
12.1 match 4.48 score 4 scripts 2 dependentsbioc
IsoformSwitchAnalyzeR:Identify, Annotate and Visualize Isoform Switches with Functional Consequences from both short- and long-read RNA-seq data
Analysis of alternative splicing and isoform switches with predicted functional consequences (e.g. gain/loss of protein domains etc.) from quantification of all types of RNASeq by tools such as Kallisto, Salmon, StringTie, Cufflinks/Cuffdiff etc.
Maintained by Kristoffer Vitting-Seerup. Last updated 5 months ago.
geneexpressiontranscriptionalternativesplicingdifferentialexpressiondifferentialsplicingvisualizationstatisticalmethodtranscriptomevariantbiomedicalinformaticsfunctionalgenomicssystemsbiologytranscriptomicsrnaseqannotationfunctionalpredictiongenepredictiondataimportmultiplecomparisonbatcheffectimmunooncology
4.7 match 108 stars 9.26 score 125 scriptsbioc
GeneStructureTools:Tools for spliced gene structure manipulation and analysis
GeneStructureTools can be used to create in silico alternative splicing events, and analyse potential effects this has on functional gene products.
Maintained by Beth Signal. Last updated 5 months ago.
immunooncologysoftwaredifferentialsplicingfunctionalpredictiontranscriptomicsalternativesplicingrnaseq
9.5 match 4.32 score 21 scriptsbioc
circRNAprofiler:circRNAprofiler: An R-Based Computational Framework for the Downstream Analysis of Circular RNAs
R-based computational framework for a comprehensive in silico analysis of circRNAs. This computational framework allows to combine and analyze circRNAs previously detected by multiple publicly available annotation-based circRNA detection tools. It covers different aspects of circRNAs analysis from differential expression analysis, evolutionary conservation, biogenesis to functional analysis.
Maintained by Simona Aufiero. Last updated 5 months ago.
annotationstructuralpredictionfunctionalpredictiongenepredictiongenomeassemblydifferentialexpression
6.6 match 10 stars 5.78 score 5 scriptsbioc
dupRadar:Assessment of duplication rates in RNA-Seq datasets
Duplication rate quality control for RNA-Seq datasets.
Maintained by Sergi Sayols. Last updated 5 months ago.
technologysequencingrnaseqqualitycontrolimmunooncology
4.4 match 2 stars 6.78 score 60 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
5.1 match 3 stars 5.62 score 4 scriptsbioc
GenomicFeatures:Query the gene models of a given organism/assembly
Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a small collection of TxDb objects in the form of ready-to-install TxDb packages for the most commonly studied organisms. Additionally, the user can easily make a TxDb object (or package) for the organism/assembly of their choice by using the tools from the txdbmaker package.
Maintained by H. Pagรจs. Last updated 4 months ago.
geneticsinfrastructureannotationsequencinggenomeannotationbioconductor-packagecore-package
1.7 match 26 stars 15.34 score 5.3k scripts 339 dependentsbioc
GenomicDistributions:GenomicDistributions: fast analysis of genomic intervals with Bioconductor
If you have a set of genomic ranges, this package can help you with visualization and comparison. It produces several kinds of plots, for example: Chromosome distribution plots, which visualize how your regions are distributed over chromosomes; feature distance distribution plots, which visualizes how your regions are distributed relative to a feature of interest, like Transcription Start Sites (TSSs); genomic partition plots, which visualize how your regions overlap given genomic features such as promoters, introns, exons, or intergenic regions. It also makes it easy to compare one set of ranges to another.
Maintained by Kristyna Kupkova. Last updated 5 months ago.
softwaregenomeannotationgenomeassemblydatarepresentationsequencingcoveragefunctionalgenomicsvisualization
3.4 match 26 stars 7.44 score 25 scriptsbioc
eisaR:Exon-Intron Split Analysis (EISA) in R
Exon-intron split analysis (EISA) uses ordinary RNA-seq data to measure changes in mature RNA and pre-mRNA reads across different experimental conditions to quantify transcriptional and post-transcriptional regulation of gene expression. For details see Gaidatzis et al., Nat Biotechnol 2015. doi: 10.1038/nbt.3269. eisaR implements the major steps of EISA in R.
Maintained by Michael Stadler. Last updated 2 months ago.
transcriptiongeneexpressiongeneregulationfunctionalgenomicstranscriptomicsregressionrnaseq
3.3 match 16 stars 7.48 score 63 scriptsbioc
plyranges:A fluent interface for manipulating GenomicRanges
A dplyr-like interface for interacting with the common Bioconductor classes Ranges and GenomicRanges. By providing a grammatical and consistent way of manipulating these classes their accessiblity for new Bioconductor users is hopefully increased.
Maintained by Michael Love. Last updated 5 months ago.
infrastructuredatarepresentationworkflowstepcoveragebioconductordata-analysisdplyrgenomic-rangesgenomicstidy-data
1.8 match 143 stars 12.60 score 1.9k scripts 20 dependentsbioc
SCANVIS:SCANVIS - a tool for SCoring, ANnotating and VISualizing splice junctions
SCANVIS is a set of annotation-dependent tools for analyzing splice junctions and their read support as predetermined by an alignment tool of choice (for example, STAR aligner). SCANVIS assesses each junction's relative read support (RRS) by relating to the context of local split reads aligning to annotated transcripts. SCANVIS also annotates each splice junction by indicating whether the junction is supported by annotation or not, and if not, what type of junction it is (e.g. exon skipping, alternative 5' or 3' events, Novel Exons). Unannotated junctions are also futher annotated by indicating whether it induces a frame shift or not. SCANVIS includes a visualization function to generate static sashimi-style plots depicting relative read support and number of split reads using arc thickness and arc heights, making it easy for users to spot well-supported junctions. These plots also clearly delineate unannotated junctions from annotated ones using designated color schemes, and users can also highlight splice junctions of choice. Variants and/or a read profile are also incoroporated into the plot if the user supplies variants in bed format and/or the BAM file. One further feature of the visualization function is that users can submit multiple samples of a certain disease or cohort to generate a single plot - this occurs via a "merge" function wherein junction details over multiple samples are merged to generate a single sashimi plot, which is useful when contrasting cohorots (eg. disease vs control).
Maintained by Phaedra Agius. Last updated 5 months ago.
softwareresearchfieldtranscriptomicsworkflowstepannotationvisualization
4.9 match 4.00 score 2 scriptsbioc
syntenet:Inference And Analysis Of Synteny Networks
syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. Anchor pairs are detected with the MCScanX algorithm, which was ported to this package with the Rcpp framework for R and C++ integration. Anchor pairs from synteny analyses are treated as an undirected unweighted graph (i.e., a synteny network), and users can perform: i. network clustering; ii. phylogenomic profiling (by identifying which species contain which clusters) and; iii. microsynteny-based phylogeny reconstruction with maximum likelihood.
Maintained by Fabrรญcio Almeida-Silva. Last updated 3 months ago.
softwarenetworkinferencefunctionalgenomicscomparativegenomicsphylogeneticssystemsbiologygraphandnetworkwholegenomenetworkcomparative-genomicsevolutionary-genomicsnetwork-sciencephylogenomicssyntenysynteny-networkcpp
2.9 match 26 stars 6.67 score 12 scripts 1 dependentsbioc
ensembldb:Utilities to create and use Ensembl-based annotation databases
The package provides functions to create and use transcript centric annotation databases/packages. The annotation for the databases are directly fetched from Ensembl using their Perl API. The functionality and data is similar to that of the TxDb packages from the GenomicFeatures package, but, in addition to retrieve all gene/transcript models and annotations from the database, ensembldb provides a filter framework allowing to retrieve annotations for specific entries like genes encoded on a chromosome region or transcript models of lincRNA genes. EnsDb databases built with ensembldb contain also protein annotations and mappings between proteins and their encoding transcripts. Finally, ensembldb provides functions to map between genomic, transcript and protein coordinates.
Maintained by Johannes Rainer. Last updated 5 months ago.
geneticsannotationdatasequencingcoverageannotationbioconductorbioconductor-packagesensembl
1.3 match 35 stars 14.08 score 892 scripts 108 dependents
thackl
gggenomes:A Grammar of Graphics for Comparative Genomics
An extension of 'ggplot2' for creating complex genomic maps. It builds on the power of 'ggplot2' and 'tidyverse' adding new 'ggplot2'-style geoms & positions and 'dplyr'-style verbs to manipulate the underlying data. It implements a layout concept inspired by 'ggraph' and introduces tracks to bring tidiness to the mess that is genomics data.
Maintained by Thomas Hackl. Last updated 2 months ago.
biological-datacomparative-genomicsgenomics-visualizationggplot-extensionggplot2
1.7 match 650 stars 9.56 score 123 scriptsbioc
txdbmaker:Tools for making TxDb objects from genomic annotations
A set of tools for making TxDb objects from genomic annotations from various sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to download the genomic locations of transcripts, exons, and CDS, for a given assembly, and to import them in a TxDb object. TxDb objects are implemented in the GenomicFeatures package, together with flexible methods for extracting the desired features in convenient formats.
Maintained by H. Pagรจs. Last updated 4 months ago.
infrastructuredataimportannotationgenomeannotationgenomeassemblygeneticssequencingbioconductor-packagecore-package
1.7 match 3 stars 9.70 score 92 scripts 86 dependentsbioc
Rsubread:Mapping, quantification and variant analysis of sequencing data
Alignment, quantification and analysis of RNA sequencing data (including both bulk RNA-seq and scRNA-seq) and DNA sequenicng data (including ATAC-seq, ChIP-seq, WGS, WES etc). Includes functionality for read mapping, read counting, SNP calling, structural variant detection and gene fusion discovery. Can be applied to all major sequencing techologies and to both short and long sequence reads.
Maintained by Wei Shi. Last updated 2 days ago.
sequencingalignmentsequencematchingrnaseqchipseqsinglecellgeneexpressiongeneregulationgeneticsimmunooncologysnpgeneticvariabilitypreprocessingqualitycontrolgenomeannotationgenefusiondetectionindeldetectionvariantannotationvariantdetectionmultiplesequencealignmentzlib
1.8 match 9.24 score 892 scripts 10 dependents
rnabioco
valr:Genome Interval Arithmetic
Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Maintained by Kent Riemondy. Last updated 7 days ago.
bedtoolsgenomeinterval-arithmeticcpp
1.7 match 90 stars 9.69 score 227 scriptsbioc
partCNV:Infer locally aneuploid cells using single cell RNA-seq data
This package uses a statistical framework for rapid and accurate detection of aneuploid cells with local copy number deletion or amplification. Our method uses an EM algorithm with mixtures of Poisson distributions while incorporating cytogenetics information (e.g., regional deletion or amplification) to guide the classification (partCNV). When applicable, we further improve the accuracy by integrating a Hidden Markov Model for feature selection (partCNVH).
Maintained by Ziyi Li. Last updated 5 months ago.
softwarecopynumbervariationhiddenmarkovmodelsinglecellclassification
3.8 match 4.18 score 4 scriptsbioc
AnnotationHub:Client to access AnnotationHub resources
This package provides a client for the Bioconductor AnnotationHub web resource. The AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, Ensembl) can be discovered. The resource includes metadata about each resource, e.g., a textual description, tags, and date of modification. The client creates and manages a local cache of files retrieved by the user, helping with quick and reproducible access.
Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.
infrastructuredataimportguithirdpartyclientcore-packageu24ca289073
1.1 match 17 stars 13.89 score 2.7k scripts 102 dependents
pablobio
GALLO:Genomic Annotation in Livestock for Positional Candidate LOci
The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
Maintained by Pablo Fonseca. Last updated 4 years ago.
3.5 match 10 stars 4.33 score 3 scriptsbioc
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
1.9 match 31 stars 7.95 score 12 scripts
cran
Rgff:R Utilities for GFF Files
R utilities for gff files, either general feature format (GFF3) or gene transfer format (GTF) formatted files. This package includes functions for producing summary stats, check for consistency and sorting errors, conversion from GTF to GFF3 format, file sorting, visualization and plotting of feature hierarchy, and exporting user defined feature subsets to SAF format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.
Maintained by Juan Antonio Garcia-Martin. Last updated 2 years ago.
7.3 match 2.00 scorebioc
BREW3R.r:R package associated to BREW3R
This R package provide functions that are used in the BREW3R workflow. This mainly contains a function that extend a gtf as GRanges using information from another gtf (also as GRanges). The process allows to extend gene annotation without increasing the overlap between gene ids.
Maintained by Lucille Lopez-Delisle. Last updated 5 months ago.
3.3 match 4.30 score 6 scripts
bnprks
BPCells:Single Cell Counts Matrices to PCA
> Efficient operations for single cell ATAC-seq fragments and RNA counts matrices. Interoperable with standard file formats, and introduces efficient bit-packed formats that allow large storage savings and increased read speeds.
Maintained by Benjamin Parks. Last updated 1 months ago.
1.9 match 184 stars 7.48 score 172 scriptsbioc
geneXtendeR:Optimized Functional Annotation Of ChIP-seq Data
geneXtendeR optimizes the functional annotation of ChIP-seq peaks by exploring relative differences in annotating ChIP-seq peak sets to variable-length gene bodies. In contrast to prior techniques, geneXtendeR considers peak annotations beyond just the closest gene, allowing users to see peak summary statistics for the first-closest gene, second-closest gene, ..., n-closest gene whilst ranking the output according to biologically relevant events and iteratively comparing the fidelity of peak-to-gene overlap across a user-defined range of upstream and downstream extensions on the original boundaries of each gene's coordinates. Since different ChIP-seq peak callers produce different differentially enriched peaks with a large variance in peak length distribution and total peak count, annotating peak lists with their nearest genes can often be a noisy process. As such, the goal of geneXtendeR is to robustly link differentially enriched peaks with their respective genes, thereby aiding experimental follow-up and validation in designing primers for a set of prospective gene candidates during qPCR.
Maintained by Bohdan Khomtchouk. Last updated 5 months ago.
chipseqgeneticsannotationgenomeannotationdifferentialpeakcallingcoveragepeakdetectionchiponchiphistonemodificationdataimportnaturallanguageprocessingvisualizationgosoftwarebioconductorbioinformaticscchip-seqcomputational-biologyepigeneticsfunctional-annotation
3.3 match 9 stars 3.95 score 5 scriptsbioc
chimeraviz:Visualization tools for gene fusions
chimeraviz manages data from fusion gene finders and provides useful visualization tools.
Maintained by Stian Lรฅgstad. Last updated 5 months ago.
1.9 match 37 stars 6.71 score 14 scriptsbioc
proActiv:Estimate Promoter Activity from RNA-Seq data
Most human genes have multiple promoters that control the expression of different isoforms. The use of these alternative promoters enables the regulation of isoform expression pre-transcriptionally. Alternative promoters have been found to be important in a wide number of cell types and diseases. proActiv is an R package that enables the analysis of promoters from RNA-seq data. proActiv uses aligned reads as input, and generates counts and normalized promoter activity estimates for each annotated promoter. In particular, proActiv accepts junction files from TopHat2 or STAR or BAM files as inputs. These estimates can then be used to identify which promoter is active, which promoter is inactive, and which promoters change their activity across conditions. proActiv also allows visualization of promoter activity across conditions.
Maintained by Joseph Lee. Last updated 5 months ago.
rnaseqgeneexpressiontranscriptionalternativesplicinggeneregulationdifferentialsplicingfunctionalgenomicsepigeneticstranscriptomicspreprocessingalternative-promotersgenomicspromoter-activitypromoter-annotationrna-seq-data
1.8 match 51 stars 6.66 score 15 scriptsbioc
autonomics:Unified Statistical Modeling of Omics Data
This package unifies access to Statistal Modeling of Omics Data. Across linear modeling engines (lm, lme, lmer, limma, and wilcoxon). Across coding systems (treatment, difference, deviation, etc). Across model formulae (with/without intercept, random effect, interaction or nesting). Across omics platforms (microarray, rnaseq, msproteomics, affinity proteomics, metabolomics). Across projection methods (pca, pls, sma, lda, spls, opls). Across clustering methods (hclust, pam, cmeans). It provides a fast enrichment analysis implementation. And an intuitive contrastogram visualisation to summarize contrast effects in complex designs.
Maintained by Aditya Bhagwat. Last updated 2 months ago.
softwaredataimportpreprocessingdimensionreductionprincipalcomponentregressiondifferentialexpressiongenesetenrichmenttranscriptomicstranscriptiongeneexpressionrnaseqmicroarrayproteomicsmetabolomicsmassspectrometry
2.0 match 5.95 score 5 scriptsbioc
srnadiff:Finding differentially expressed unannotated genomic regions from RNA-seq data
srnadiff is a package that finds differently expressed regions from RNA-seq data at base-resolution level without relying on existing annotation. To do so, the package implements the identify-then-annotate methodology that builds on the idea of combining two pipelines approachs differential expressed regions detection and differential expression quantification. It reads BAM files as input, and outputs a list differentially regions, together with the adjusted p-values.
Maintained by Zytnicki Matthias. Last updated 2 months ago.
immunooncologygeneexpressioncoveragesmallrnaepigeneticsstatisticalmethodpreprocessingdifferentialexpressioncpp
2.9 match 3.70 score 3 scriptsbioc
DEXSeq:Inference of differential exon usage in RNA-Seq
The package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.
Maintained by Alejandro Reyes. Last updated 16 days ago.
immunooncologysequencingrnaseqdifferentialexpressionalternativesplicingdifferentialsplicinggeneexpressionvisualization
1.3 match 7.75 score 330 scripts 6 dependentsbioc
metaseqR2:An R package for the analysis and result reporting of RNA-Seq data by combining multiple statistical algorithms
Provides an interface to several normalization and statistical testing packages for RNA-Seq gene expression data. Additionally, it creates several diagnostic plots, performs meta-analysis by combinining the results of several statistical tests and reports the results in an interactive way.
Maintained by Panagiotis Moulos. Last updated 5 days ago.
softwaregeneexpressiondifferentialexpressionworkflowsteppreprocessingqualitycontrolnormalizationreportwritingrnaseqtranscriptionsequencingtranscriptomicsbayesianclusteringcellbiologybiomedicalinformaticsfunctionalgenomicssystemsbiologyimmunooncologyalternativesplicingdifferentialsplicingmultiplecomparisontimecoursedataimportatacseqepigeneticsregressionproprietaryplatformsgenesetenrichmentbatcheffectchipseq
1.7 match 7 stars 6.05 score 3 scripts
jmzeng1314
AnnoProbe:annotate the gene symbols for probes in expression array
We curated 147 of expression array, from 3 species(human,mouse,rat), 3 companies(affymetrix,illumina,agilent), by aligning the fasta sequences of all probes of each platform to their corresponding reference genome, and then annotate them to genes.
Maintained by The package maintainer. Last updated 5 years ago.
1.7 match 104 stars 5.82 score 126 scriptsbioc
txcutr:Transcriptome CUTteR
Various mRNA sequencing library preparation methods generate sequencing reads specifically from the transcript ends. Analyses that focus on quantification of isoform usage from such data can be aided by using truncated versions of transcriptome annotations, both at the alignment or pseudo-alignment stage, as well as in downstream analysis. This package implements some convenience methods for readily generating such truncated annotations and their corresponding sequences.
Maintained by Mervin Fansler. Last updated 5 months ago.
alignmentannotationrnaseqsequencingtranscriptomics
2.3 match 4.30 score 9 scriptsbioc
easyRNASeq:Count summarization and normalization for RNA-Seq data
Calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as 'RPKM' or by the 'DESeq' or 'edgeR' package.
Maintained by Nicolas Delhomme. Last updated 5 months ago.
geneexpressionrnaseqgeneticspreprocessingimmunooncology
1.7 match 5.43 score 15 scripts 1 dependentsbioc
CeTF:Coexpression for Transcription Factors using Regulatory Impact Factors and Partial Correlation and Information Theory analysis
This package provides the necessary functions for performing the Partial Correlation coefficient with Information Theory (PCIT) (Reverter and Chan 2008) and Regulatory Impact Factors (RIF) (Reverter et al. 2010) algorithm. The PCIT algorithm identifies meaningful correlations to define edges in a weighted network and can be applied to any correlation-based network including but not limited to gene co-expression networks, while the RIF algorithm identify critical Transcription Factors (TF) from gene expression data. These two algorithms when combined provide a very relevant layer of information for gene expression studies (Microarray, RNA-seq and single-cell RNA-seq data).
Maintained by Carlos Alberto Oliveira de Biagi Junior. Last updated 5 months ago.
sequencingrnaseqmicroarraygeneexpressiontranscriptionnormalizationdifferentialexpressionsinglecellnetworkregressionchipseqimmunooncologycoveragecpp
2.0 match 4.30 score 9 scriptsbioc
recoup:An R package for the creation of complex genomic profile plots
recoup calculates and plots signal profiles created from short sequence reads derived from Next Generation Sequencing technologies. The profiles provided are either sumarized curve profiles or heatmap profiles. Currently, recoup supports genomic profile plots for reads derived from ChIP-Seq and RNA-Seq experiments. The package uses ggplot2 and ComplexHeatmap graphics facilities for curve and heatmap coverage profiles respectively.
Maintained by Panagiotis Moulos. Last updated 5 months ago.
immunooncologysoftwaregeneexpressionpreprocessingqualitycontrolrnaseqchipseqsequencingcoverageatacseqchiponchipalignmentdataimport
1.7 match 1 stars 5.02 score 2 scriptsbioc
RCAS:RNA Centric Annotation System
RCAS is an R/Bioconductor package designed as a generic reporting tool for the functional analysis of transcriptome-wide regions of interest detected by high-throughput experiments. Such transcriptomic regions could be, for instance, signal peaks detected by CLIP-Seq analysis for protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome), CAGE-tag locations, or any other collection of query regions at the level of the transcriptome. RCAS produces in-depth annotation summaries and coverage profiles based on the distribution of the query regions with respect to transcript features (exons, introns, 5'/3' UTR regions, exon-intron boundaries, promoter regions). Moreover, RCAS can carry out functional enrichment analyses and discriminative motif discovery.
Maintained by Bora Uyar. Last updated 5 months ago.
softwaregenetargetmotifannotationmotifdiscoverygotranscriptomicsgenomeannotationgenesetenrichmentcoverage
1.3 match 6.32 score 29 scripts 1 dependentsbioc
compEpiTools:Tools for computational epigenomics
Tools for computational epigenomics developed for the analysis, integration and simultaneous visualization of various (epi)genomics data types across multiple genomic regions in multiple samples.
Maintained by Mattia Furlan. Last updated 5 months ago.
geneexpressionsequencingvisualizationgenomeannotationcoverage
1.8 match 4.30 score 6 scriptsbioc
NoRCE:NoRCE: Noncoding RNA Sets Cis Annotation and Enrichment
While some non-coding RNAs (ncRNAs) are assigned critical regulatory roles, most remain functionally uncharacterized. This presents a challenge whenever an interesting set of ncRNAs needs to be analyzed in a functional context. Transcripts located close-by on the genome are often regulated together. This genomic proximity on the sequence can hint to a functional association. We present a tool, NoRCE, that performs cis enrichment analysis for a given set of ncRNAs. Enrichment is carried out using the functional annotations of the coding genes located proximal to the input ncRNAs. Other biologically relevant information such as topologically associating domain (TAD) boundaries, co-expression patterns, and miRNA target prediction information can be incorporated to conduct a richer enrichment analysis. To this end, NoRCE includes several relevant datasets as part of its data repository, including cell-line specific TAD boundaries, functional gene sets, and expression data for coding & ncRNAs specific to cancer. Additionally, the users can utilize custom data files in their investigation. Enrichment results can be retrieved in a tabular format or visualized in several different ways. NoRCE is currently available for the following species: human, mouse, rat, zebrafish, fruit fly, worm, and yeast.
Maintained by Gulden Olgun. Last updated 5 months ago.
biologicalquestiondifferentialexpressiongenomeannotationgenesetenrichmentgenetargetgenomeassemblygo
1.7 match 1 stars 4.60 score 6 scriptsbioc
ExCluster:ExCluster robustly detects differentially expressed exons between two conditions of RNA-seq data, requiring at least two independent biological replicates per condition
ExCluster flattens Ensembl and GENCODE GTF files into GFF files, which are used to count reads per non-overlapping exon bin from BAM files. This read counting is done using the function featureCounts from the package Rsubread. Library sizes are normalized across all biological replicates, and ExCluster then compares two different conditions to detect signifcantly differentially spliced genes. This process requires at least two independent biological repliates per condition, and ExCluster accepts only exactly two conditions at a time. ExCluster ultimately produces false discovery rates (FDRs) per gene, which are used to detect significance. Exon log2 fold change (log2FC) means and variances may be plotted for each significantly differentially spliced gene, which helps scientists develop hypothesis and target differential splicing events for RT-qPCR validation in the wet lab.
Maintained by R. Matthew Tanner. Last updated 5 months ago.
immunooncologydifferentialsplicingrnaseqsoftware
2.3 match 3.30 score 1 scriptsbioc
sitadela:An R package for the easy provision of simple but complete tab-delimited genomic annotation from a variety of sources and organisms
Provides an interface to build a unified database of genomic annotations and their coordinates (gene, transcript and exon levels). It is aimed to be used when simple tab-delimited annotations (or simple GRanges objects) are required instead of the more complex annotation Bioconductor packages. Also useful when combinatorial annotation elements are reuired, such as RefSeq coordinates with Ensembl biotypes. Finally, it can download, construct and handle annotations with versioned genes and transcripts (where available, e.g. RefSeq and latest Ensembl). This is particularly useful in precision medicine applications where the latter must be reported.
Maintained by Panagiotis Moulos. Last updated 5 months ago.
softwareworkflowsteprnaseqtranscriptionsequencingtranscriptomicsbiomedicalinformaticsfunctionalgenomicssystemsbiologyalternativesplicingdataimportchipseq
1.7 match 4.60 score 2 scriptsbioc
SpliceWiz:interactive analysis and visualization of alternative splicing in R
The analysis and visualization of alternative splicing (AS) events from RNA sequencing data remains challenging. SpliceWiz is a user-friendly and performance-optimized R package for AS analysis, by processing alignment BAM files to quantify read counts across splice junctions, IRFinder-based intron retention quantitation, and supports novel splicing event identification. We introduce a novel visualization for AS using normalized coverage, thereby allowing visualization of differential AS across conditions. SpliceWiz features a shiny-based GUI facilitating interactive data exploration of results including gene ontology enrichment. It is performance optimized with multi-threaded processing of BAM files and a new COV file format for fast recall of sequencing coverage. Overall, SpliceWiz streamlines AS analysis, enabling reliable identification of functionally relevant AS events for further characterization.
Maintained by Alex Chit Hei Wong. Last updated 4 days ago.
softwaretranscriptomicsrnaseqalternativesplicingcoveragedifferentialsplicingdifferentialexpressionguisequencingcppopenmp
1.1 match 16 stars 6.41 score 8 scripts
core-bioinformatics
noisyr:Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are used, one based on the count matrix, and one using the alignment BAM files directly. Contains several options for every step of the process, as well as tools to quality check and assess the stability of output.
Maintained by Ilias Moutsopoulos. Last updated 3 years ago.
1.7 match 9 stars 4.13 score 5 scripts 1 dependents
fmicompbio
swissknife:Handy code shared in the FMI CompBio group
A collection of useful R functions performing various tasks that might be re-usable and worth sharing.
Maintained by Michael Stadler. Last updated 2 months ago.
1.8 match 8 stars 3.76 score 12 scriptsbioc
ProteoDisco:Generation of customized protein variant databases from genomic variants, splice-junctions and manual sequences
ProteoDisco is an R package to facilitate proteogenomics studies. It houses functions to create customized (variant) protein databases based on user-submitted genomic variants, splice-junctions, fusion genes and manual transcript sequences. The flexible workflow can be adopted to suit a myriad of research and experimental settings.
Maintained by Job van Riet. Last updated 5 months ago.
softwareproteomicsrnaseqsnpsequencingvariantannotationdataimport
1.3 match 5 stars 5.30 score 4 scriptsbioc
rGenomeTracks:Integerated visualization of epigenomic data
rGenomeTracks package leverages the power of pyGenomeTracks software with the interactivity of R. pyGenomeTracks is a python software that offers robust method for visualizing epigenetic data files like narrowPeak, Hic matrix, TADs and arcs, however though, here is no way currently to use it within R interactive session. rGenomeTracks wrapped the whole functionality of pyGenomeTracks with additional utilites to make to more pleasant for R users.
Maintained by Omar Elashkar. Last updated 5 months ago.
2.0 match 3.30 score 2 scriptsbioc
APAlyzer:A toolkit for APA analysis using RNA-seq data
Perform 3'UTR APA, Intronic APA and gene expression analysis using RNA-seq data.
Maintained by Ruijia Wang. Last updated 5 months ago.
sequencingrnaseqdifferentialexpressiongeneexpressiongeneregulationannotationdataimportsoftwareative-polyadenylationbioinformatics-toolrna-seq
1.1 match 8 stars 5.81 score 9 scriptsbioc
branchpointer:Prediction of intronic splicing branchpoints
Predicts branchpoint probability for sites in intronic branchpoint windows. Queries can be supplied as intronic regions; or to evaluate the effects of mutations, SNPs.
Maintained by Beth Signal. Last updated 5 months ago.
softwaregenomeannotationgenomicvariationmotifannotation
1.8 match 3.62 score 21 scriptsbioc
metagene2:A package to produce metagene plots
This package produces metagene plots to compare coverages of sequencing experiments at selected groups of genomic regions. It can be used for such analyses as assessing the binding of DNA-interacting proteins at promoter regions or surveying antisense transcription over the length of a gene. The metagene2 package can manage all aspects of the analysis, from normalization of coverages to plot facetting according to experimental metadata. Bootstraping analysis is used to provide confidence intervals of per-sample mean coverages.
Maintained by Eric Fournier. Last updated 5 months ago.
chipseqgeneticsmultiplecomparisoncoveragealignmentsequencing
1.1 match 4 stars 5.45 score 8 scriptsbioc
DegNorm:DegNorm: degradation normalization for RNA-seq data
This package performs degradation normalization in bulk RNA-seq data to improve differential expression analysis accuracy.
Maintained by Ji-Ping Wang. Last updated 5 months ago.
rnaseqnormalizationgeneexpressionalignmentcoveragedifferentialexpressionbatcheffectsoftwaresequencingimmunooncologyqualitycontroldataimportopenblascppopenmp
1.2 match 1 stars 5.20 score 3 scriptsbioc
SCAN.UPC:Single-channel array normalization (SCAN) and Universal exPression Codes (UPC)
SCAN is a microarray normalization method to facilitate personalized-medicine workflows. Rather than processing microarray samples as groups, which can introduce biases and present logistical challenges, SCAN normalizes each sample individually by modeling and removing probe- and array-specific background noise using only data from within each array. SCAN can be applied to one-channel (e.g., Affymetrix) or two-channel (e.g., Agilent) microarrays. The Universal exPression Codes (UPC) method is an extension of SCAN that estimates whether a given gene/transcript is active above background levels in a given sample. The UPC method can be applied to one-channel or two-channel microarrays as well as to RNA-Seq read counts. Because UPC values are represented on the same scale and have an identical interpretation for each platform, they can be used for cross-platform data integration.
Maintained by Stephen R. Piccolo. Last updated 5 months ago.
immunooncologysoftwaremicroarraypreprocessingrnaseqtwochannelonechannel
1.7 match 3.48 score 15 scriptsbioc
TransView:Read density map construction and accession. Visualization of ChIPSeq and RNASeq data sets
This package provides efficient tools to generate, access and display read densities of sequencing based data sets such as from RNA-Seq and ChIP-Seq.
Maintained by Julius Muller. Last updated 2 months ago.
immunooncologydnamethylationgeneexpressiontranscriptionmicroarraysequencingchipseqrnaseqmethylseqdataimportvisualizationclusteringmultiplecomparisoncurlbzip2xz-utilszlib
2.0 match 2.60 scorecran
MARVEL:Revealing Splicing Dynamics at Single-Cell Resolution
Alternative splicing represents an additional and underappreciated layer of complexity underlying gene expression profiles. Nevertheless, there remains hitherto a paucity of software to investigate splicing dynamics at single-cell resolution. 'MARVEL' enables splicing analysis of single-cell RNA-sequencing data generated from plate- and droplet-based library preparation methods.
Maintained by Sean Wen. Last updated 2 years ago.
1.8 match 2.71 score 51 scripts
totajuliusd
enshuman:Human Gene Annotation Data from 'Ensembl'
Gene information from 'Ensembl' genome builds 'GRCh38.p14' and 'GRCh37.p13' to use with the 'topr' package. The datasets were originally downloaded from <https://ftp.ensembl.org/pub/current/gtf/homo_sapiens/Homo_sapiens.GRCh38.111.gtf.gz> and <https://ftp.ensembl.org/pub/grch37/current/gtf/homo_sapiens/Homo_sapiens.GRCh37.87.gtf.gz> and converted into the format required by the 'topr' package. See <https://github.com/totajuliusd/topr?tab=readme-ov-file#how-to-use-topr-with-other-species-than-human> to see the required format.
Maintained by Thorhildur Juliusdottir. Last updated 1 years ago.
1.0 match 3.18 score 1 scripts 1 dependents
hanjunwei-lab
pathwayTMB:Pathway Based Tumor Mutational Burden
A systematic bioinformatics tool to develop a new pathway-based gene panel for tumor mutational burden (TMB) assessment (pathway-based tumor mutational burden, PTMB), using somatic mutations files in an efficient manner from either The Cancer Genome Atlas sources or any in-house studies as long as the data is in mutation annotation file (MAF) format. Besides, we develop a multiple machine learning method using the sample's PTMB profiles to identify cancer-specific dysfunction pathways, which can be a biomarker of prognostic and predictive for cancer immunotherapy.
Maintained by Junwei Han. Last updated 3 years ago.
1.1 match 2.48 score 2 scripts 1 dependentsbioc
epistack:Heatmaps of Stack Profiles from Epigenetic Signals
The epistack package main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at genomic regions of interest. epistack needs three different inputs: 1) a genomic score objects, such as ChIP-seq coverage or DNA methylation values, provided as a `GRanges` (easily obtained from `bigwig` or `bam` files). 2) a list of feature of interest, such as peaks or transcription start sites, provided as a `GRanges` (easily obtained from `gtf` or `bed` files). 3) a score to sort the features, such as peak height or gene expression value.
Maintained by DEVAILLY Guillaume. Last updated 5 months ago.
rnaseqpreprocessingchipseqgeneexpressioncoveragebioinformatics
0.5 match 6 stars 5.26 score 5 scriptsbioc
proBAMr:Generating SAM file for PSMs in shotgun proteomics data
Mapping PSMs back to genome. The package builds SAM file from shotgun proteomics data The package also provides function to prepare annotation from GTF file.
Maintained by Xiaojing Wang. Last updated 5 months ago.
immunooncologyproteomicsmassspectrometrysoftwarevisualization
0.5 match 3.48 score 1 scripts