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https://www.bioconductor.org/packages/release/bioc/html/GSVA.html

Open source software R package for assaying variation of gene set enrichment over sample population.Used for microarray and RNA-seq data analysis. Gene set enrichment method that estimates variation of pathway activity over sample population in unsupervised manner.

Proper citation: GSVA (RRID:SCR_021058) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/SimFFPE/

Software R package to simulate artifact chimeric reads specifically generated in next generation sequencing process of formalin fixed paraffin embedded tissue. Simulates normal reads as well as artifact chimeric reads that are enriched in FFPE samples. These artifact chimeric reads can lead to large amounts of false positive structural variant calls.

Proper citation: SimFFPE (RRID:SCR_021085) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/PhenStat.html

Software R package for statistical analysis of phenotypic data.Tool kit for standardized analysis of high throughput phenotypic data.

Proper citation: PhenStat (RRID:SCR_021317) Copy   

•   Source: SciCrunch Registry

https://github.com/PapenfussLab/svaNUMT

Software R package for Nuclear Mitochondrial integration events NUMT detection using structural variant calls.

Proper citation: svaNUMT (RRID:SCR_021381) Copy   

•   Source: SciCrunch Registry

http://master.bioconductor.org/packages/2.13/bioc/html/BHC.html

Software package that performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. This avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric. This implementation accepts multinomial (i.e. discrete, with 2+ categories) or time-series data and also includes a randomised algorithm which is more efficient for larger data sets.

Proper citation: BHC (RRID:SCR_006399) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/ReadqPCR.html

A software package that provides functions to read raw RT-qPCR data of different platforms.

Proper citation: ReadqPCR (RRID:SCR_000030) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/epialleleR/

Software R package for calling hypermethylated variant epiallele frequencies at level of genomic regions or individual cytosines in next-generation sequencing data using binary alignment map files as input. Used for sensitive allele specific methylation analysis in next generation sequencing data. Used for sensitive detection, quantification and visualisation of mosaic epimutations in methylation sequencing data.

Proper citation: epialleleR (RRID:SCR_023913) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/devel/bioc/html/GeneNetworkBuilder.html

Software application for discovering direct or indirect targets of transcription factors (TFs) using ChIP-chip or ChIP-seq, and microarray or RNA-seq gene expression data. Inputting a list of genes of potential targets of one TF from ChIP-chip or ChIP-seq, and the gene expression results, it generates a regulatory network of the TF.

Proper citation: GeneNetworkBuilder (RRID:SCR_006455) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/PICS.html

R package with tools that use probabilistic inference of ChIP-Seq. It follows an empirical Bayes mixture model approach.

Proper citation: PICS (RRID:SCR_001093) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/DESeq2.html

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

Proper citation: DESeq2 (RRID:SCR_015687) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/EGAD/

Software package implements series of highly efficient tools to calculate functional properties of networks based on guilt by association methods. Ultra fast functional analysis of gene networks.

Proper citation: Extending Guilt by Association by Degree (RRID:SCR_018427) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/AUCell/

Software R package to identify cells with active gene sets in single cell RNA-seq data. Used for analysis of gene set activity in single cell RNA-seq data.Used to calculate whether critical subset of input gene set is enriched within expressed genes for each cell.

Proper citation: AUCell (RRID:SCR_021327) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/iontree.html

Software package that provides utility functions to manage and analyse MS2/MS3 fragmentation data from ion trap mass spectrometry. It was designed for high throughput metabolomics data with many biological samples and a large numer of ion trees collected. Tests have been done with data from low-resolution mass spectrometry but could be readily extended to precursor ion based fragmentation data from high resoultion mass spectrometry.

Proper citation: iontree (RRID:SCR_002813) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/StructuralVariantAnnotation/

Software R package for structural variant analysis. Contains helper functions for dealing with structural variants in VCF format. Contains functions for parsing VCFs from number of popular callers as well as functions for dealing with breakpoints involving two separate genomic loci encoded as GRanges objects.

Proper citation: StructuralVariantAnnotation (RRID:SCR_018683) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/EnhancedVolcano/

Software R package to produce publication ready volcano plots with enhanced colouring and labeling. Used to visualise results of differential expression analyses.

Proper citation: EnhancedVolcano (RRID:SCR_018931) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/DEGreport/

Software R package for creation of HTML report of differential expression analyses of count data. Integrates some of code mentioned in DESeq2 and edgeR vignettes, and reports ranked list of genes according to fold changes mean and variability for each selected gene.

Proper citation: DEGreport (RRID:SCR_018941) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/biomaRt/

Software package that integrates BioMart data resources with data analysis software in Bioconductor. Can annotate range of gene or gene product identifiers including Entrez Gene and Affymetrix probe identifiers with information such as gene symbol, chromosomal coordinates, Gene Ontology and OMIM annotation. Enables retrieval of genomic sequences and single nucleotide polymorphism information, which can be used in data analysis.

Proper citation: biomaRt (RRID:SCR_019214) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/ReactomePA/

Software R package provides functions for pathway analysis based on REACTOME pathway database. It implements enrichment analysis, gene set enrichment analysis and several functions for visualization.

Proper citation: ReactomePA (RRID:SCR_019316) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/MSnbase/

Software R package provides infrastructure for manipulation, processing and visualisation of mass spectrometry and proteomics data, ranging from raw to quantitative and annotated data. Used for isobaric tagged mass spectrometry data visualization, processing and quantitation.

Proper citation: MSnbase (RRID:SCR_019317) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/riboSeqR.html

Software tool for analysis of sequencing data from ribosome profiling experiments. Used for plotting functions, frameshift detection and parsing of sequencing data from ribosome profiling experiments.

Proper citation: riboSeqR (RRID:SCR_016947) Copy   

•   Source: SciCrunch Registry