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

A software package to combine flow cytometry data that has been multiplexed into multiple tubes with common markers between them. It establishes common bins across tubes in terms of the common markers, then determines expression within each tube for each bin in terms of the tube-specific markers.

Proper citation: flowBin (RRID:SCR_000051) Copy   

•   Source: SciCrunch Registry

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

Software package that provides tools to convert the output of segmentation analysis using DNAcopy to a matrix structure with overlapping segments as rows and samples as columns so that other computational analyses can be applied to segmented data.

Proper citation: CNTools (RRID:SCR_000281) 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/2.14/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/2.11/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://www.bioconductor.org/packages/release/bioc/html/LVSmiRNA.html

Software for normalization of Agilent miRNA arrays.

Proper citation: LVSmiRNA (RRID:SCR_012752) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/MMDiff.html

Software package that detects statistically significant difference between read enrichment profiles in different ChIP-Seq samples.

Proper citation: MMDiff (RRID:SCR_012692) Copy   

•   Source: SciCrunch Registry

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

Genotype Calling and Copy Number Analysis tool for Affymetrix SNP 5.0 and 6.0 and Illumina arrays.

Proper citation: CRLMM (RRID:SCR_012580) Copy   

•   Source: SciCrunch Registry

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

Software package that identifies differential expression in high-throughput ''count'' data, such as that derived from next-generation sequencing machines.

Proper citation: baySeq (RRID:SCR_012795) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/devel/bioc/html/RPA.html

A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases.

Proper citation: RPA (RRID:SCR_012768) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/lumi.html

Software that provides an integrated solution for the Illumina microarray data analysis.

Proper citation: lumi (RRID:SCR_012781) Copy   

•   Source: SciCrunch Registry

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

This software package implements the QUBIC algorithm for the qualitative biclustering with gene expression data.

Proper citation: rqubic (RRID:SCR_012869) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DiffBind.html

Compute differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.

Proper citation: DiffBind (RRID:SCR_012918) Copy   

•   Source: SciCrunch Registry

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

A bi-clustering algorithm which is optimizes for binary data analysis.

Proper citation: iBBiG (RRID:SCR_012882) Copy   

•   Source: SciCrunch Registry

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

A biclustering method; it finds correlated blocks (transcription modules) in gene expression (or other tabular) data.

Proper citation: eisa (RRID:SCR_012883) Copy   

•   Source: SciCrunch Registry

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

Software package that provides classes for holding and manipulating Illumina methylation data.

Proper citation: Methylumi (RRID:SCR_012831) Copy   

•   Source: SciCrunch Registry

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

Software package that uses hidden Ising models to identify enriched genomic regions in ChIP-chip data.

Proper citation: iChip (RRID:SCR_012958) Copy   

•   Source: SciCrunch Registry

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

Software package for post-processing of peaks and differential binding in ChIP-seq based on standard wiggle visualization files. The double aim of the package is to apply a functional version of principal component analysis (FPCA) to: (1) Process data in wiggle track format (WIG) commonly produced by ChIP-seq peak finders by applying FPCA over a set of selected candidate enriched regions. This is done in order to shorten the genomic locations accounting for a given proportion of variation among the enrichment-score profiles. The function ''narrowpeaks'' allows the user to discriminate between binding regions in close proximity to each other and to narrow down the length of the putative transcription factor binding sites while preserving the information present in the variability of the dataset and capturing major sources of variation. (2) Analyze differential variation when multiple ChIP-seq samples need to compared. The function ''narrowpeaksDiff'' quantifies differences between the tag-enrichment, and uses non-parametric tests on the FPC scores for testing differences between conditions.

Proper citation: NarrowPeaks (RRID:SCR_012924) Copy   

•   Source: SciCrunch Registry