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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://cran.r-project.org/src/contrib/Archive/PurBayes/
An MCMC-based algorithm that uses next-generation sequencing data to estimate tumor purity and clonality for paired tumor-normal data.
Proper citation: PurBayes (RRID:SCR_002068) Copy
http://drpowell.github.io/vennt/
A web-tool to generate dynamic Venn diagrams for differential gene expression.
Proper citation: Vennt (RRID:SCR_002083) Copy
http://www.bioconductor.org/packages/release/bioc/html/TEQC.html
An R/Bioconductor package for quality assessment of target enrichment experiments. This package provides functionalities for assessing and visualizing the quality of the target enrichment process, like specificity and sensitivity of the capture, per-target read coverage and so on.
Proper citation: TEQC (RRID:SCR_001943) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowViz.html
Software that provides visualization tools for flow cytometry data.
Proper citation: flowViz (RRID:SCR_002075) Copy
https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html
A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.
Proper citation: flowQB (RRID:SCR_002144) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowFit.html
A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.
Proper citation: flowFit (RRID:SCR_002286) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/spliceR.html
An easy-to-use R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.
Proper citation: spliceR (RRID:SCR_002280) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowPlots.html
Software for analysis plots and data class for gated flow cytometry data.
Proper citation: flowPlots (RRID:SCR_002177) Copy
http://cran.r-project.org/web/packages/metaRNASeq/
Software package for meta-analysis of RNA-seq data. This package implements two p-value combination techniques (inverse normal and Fisher methods). It also provides a vignette explaining how to combine data from multiple RNA-seq experiments.
Proper citation: metaRNASeq (RRID:SCR_002174) Copy
https://cran.r-project.org/src/contrib/Archive/demi/
R package for estimating differential expression from multiple indicators that capitalizes on the high number of concurrent measurements. It extends to various experimental designs and target categories (transcripts, genes, genomic regions) as well as small sample sizes.
Proper citation: DEMI (RRID:SCR_002291) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowCore.html
A Bioconductor software package for high throughput flow cytometry that provides S4 data structures and basic functions.
Proper citation: flowCore (RRID:SCR_002205) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowBeads.html
Software package for the analysis of flow cytometry bead data. It extends flowCore to provide functionality specific to bead data. One of the goals of this package is to automate analysis of bead data for the purpose of normalization.
Proper citation: flowBeads (RRID:SCR_002440) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowCyBar.html
A software package to analyze flow cytometric data using gate information to follow population / community dynamics.
Proper citation: flowCyBar (RRID:SCR_002319) Copy
http://www.bioconductor.org/packages/devel/bioc/html/MBASED.html
Software package containing functions for allele-specific gene expression (ASE) analysis using meta-analysis based allele-specific expression detection.
Proper citation: MBASED (RRID:SCR_002584) Copy
http://cran.r-project.org/web/packages/MetaQC/
Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision.
Proper citation: MetaQC (RRID:SCR_006000) Copy
http://cran.r-project.org/web/packages/RCircos/
Software package that provides a simple and flexible way to generate Circos 2D track plot images for genomic data visualization. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation.
Proper citation: RCircos (RRID:SCR_003310) Copy
http://www.bioconductor.org/packages/release/bioc/html/ggbio.html
An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.
Proper citation: ggbio (RRID:SCR_003313) Copy
http://primerseq.sourceforge.net/
Software that designs RT-PCR primers that evaluate alternative splicing events by incorporating RNA-Seq data. It is particularly advantageous for designing a large number of primers for validating alternative splicing events found in RNA-Seq data. It incorporates RNA-Seq data in the design process to weight exons by their read counts. Essentially, the RNA-Seq data allows primers to be placed using actually expressed transcripts. This could be for a particular cell line or experimental condition, rather than using annotations that incorporate transcripts that are not expressed for the data. Alternatively, you can design primers that are always on constitutive exons. PrimerSeq does not limit the use of gene annotations and can be used for a wide array of species.
Proper citation: PrimerSeq (RRID:SCR_003295) Copy
http://www.bioconductor.org/packages/devel/bioc/html/OmicCircos.html
An R software application and package used to generate high-quality circular plots for visualizing genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.
Proper citation: OmicCircos (RRID:SCR_003292) Copy
https://code.google.com/p/mztab/
A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.
Proper citation: jmzTab (RRID:SCR_003481) Copy
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