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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://crcview.hegroup.org/

Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in.

Proper citation: CRCView (RRID:SCR_007092) 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/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://www.bioconductor.org/packages/2.12/bioc/html/minfi.html

Software that improves the results from the Illumina infinium HumanMethylation450 BeadChips by reducing technical variation within and between arrays. SWAN is available in the minfi Bioconductor package.

Proper citation: SWAN (RRID:SCR_003455) 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/2.6/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

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/2.12/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://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/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/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