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https://bioconductor.org/packages/combi/

Software R package for simultaneous exploration of multiple datasets. Compositional omics model based visual integration.Used to integrate omics data for visualization, with special focus on compositionality.

Proper citation: combi (RRID:SCR_024986) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/h5vc.html

Software package that contains functions to interact with tally data from Next-Generation Sequencing (NGS) experiments that is stored in HDF5 files.

Proper citation: h5vc (RRID:SCR_006039) Copy   

•   Source: SciCrunch Registry

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

Software package that implements the remove unwanted variation (RUV) methods for the normalization of RNA-Seq read counts between samples.

Proper citation: RUVSeq (RRID:SCR_006263) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/IRanges/

Software tool for computing and annotating genomic ranges.Provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as Vector objects), as well as views on these Vector objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent Vector API as much as possible.

Proper citation: IRanges (RRID:SCR_006420) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.6/bioc/html/DEGseq.html

R package to identify differentially expressed genes from RNA-Seq data.

Proper citation: DEGseq (RRID:SCR_008480) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.11/bioc/html/easyRNASeq.html

Software that 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.

Proper citation: easyRNASeq (RRID:SCR_012020) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.12/bioc/html/seqbias.html

Software package that implements a model of per-position sequencing bias in high-throughput sequencing data using a simple Bayesian network, the structure and parameters of which are trained on a set of aligned reads and a reference genome sequence.

Proper citation: seqbias (RRID:SCR_006832) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/htSeqTools.html

Software tools for quality control, visualization and processing for High-Throughput Sequencing data. These include MDS plots (analogues to PCA), detecting inefficient immuno-precipitation or over-amplification artifacts, tools to identify and test for genomic regions with large accumulation of reads, and visualization of coverage profiles.

Proper citation: htSeqTools (RRID:SCR_006614) Copy   

•   Source: SciCrunch Registry

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

An R package for deconvolution of heterogeneous tissues based on mRNA-Seq data. It modeled expression levels from heterogeneous cell populations in mRNA-Seq as the weighted average of expression from different constituting cell types and predicted cell type proportions of single expression profiles.

Proper citation: DeconRNASeq (RRID:SCR_006713) Copy   

•   Source: SciCrunch Registry

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

Software package that allows the visualization of DNA methylation data after bisulfite sequencing.

Proper citation: methVisual (RRID:SCR_006705) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.1/bioc/html/arrayMagic.html

Software providing a collection of utilities for quality control and processing of two-colour cDNA microarray data

Proper citation: arrayMagic (RRID:SCR_010933) Copy   

•   Source: SciCrunch Registry

http://bios.unc.edu/~weisun/software/asSeq.htm

Software that establishes a statistical framework for future developments of eQTL (expression quantitative trait locus) mapping methods using RNA-seq data (e.g., linkage-based eQTL mapping), and the joint study of multiple genetic markers and/or multiple genes. This R package has been submitted to R/bioconductor. It will be available on bioconductor soon. It is recommended to install this R package from bioconductor. You can also install this R package from the source code by yourself. Since the R package contains C code, a C complier is required for installation. With both R and appropriate c complier installed, this R package can be installed using the following command (in Mac Terminal window or Windows command window) R CMD INSTALL asSeq

Proper citation: asSeq (RRID:SCR_001625) Copy   

•   Source: SciCrunch Registry

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

A set of tools for analysing tiling array ChIP/chip, DNAse hypersensitivity, or other experiments that result in regions of the genome showing enrichment. It does not rely on a specific array technology (although the array should be a tiling array), is very general (can be applied in experiments resulting in regions of enrichment), and is very insensitive to array noise or normalization methods. It is also very fast and can be applied on whole-genome tiling array experiments quite easily with enough memory.

Proper citation: ACME (RRID:SCR_001464) Copy   

•   Source: SciCrunch Registry

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

Software that infers biological processes which are active in individual gene sets from corresponding microarray measurements. It achieves this inference by combining a MCMC matrix decomposition algorithm (GAPS) with a novel statistic inferring activity on gene sets.

Proper citation: CoGAPS (RRID:SCR_001479) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor software package for fingerprint generation of flow cytometry data, used to facilitate the application of machine learning and datamining tools for flow cytometry.

Proper citation: flowFP (RRID:SCR_001537) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.7/bioc/html/plateCore.html

Software that provides basic S4 data structures and routines for analyzing plate based flow cytometry data.

Proper citation: plateCore (RRID:SCR_001743) Copy   

•   Source: SciCrunch Registry

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

Software functions for analysis of real-time quantitative PCR data at SIRS-Lab GmbH.

Proper citation: SLqPCR (RRID:SCR_001669) Copy   

•   Source: SciCrunch Registry

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

An R / bioconductor package for detecting similarity in ordered gene lists. Thereby, either simple lists can be compared or gene expression data can be used to deduce the lists. Significance of similarities is evaluated by shuffling lists or by resampling in microarray data, respectively.

Proper citation: OrderedList (RRID:SCR_001834) Copy   

•   Source: SciCrunch Registry

http://www.r-project.org/

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

Proper citation: R Project for Statistical Computing (RRID:SCR_001905) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor software package for automated gating of flow cytometry data that implements a robust model-based clustering approach based on multivariate t mixture models with the Box-Cox transformation.

Proper citation: flowClust (RRID:SCR_001807) Copy   

•   Source: SciCrunch Registry