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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.
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
http://www.bioconductor.org/packages/2.12/bioc/html/TurboNorm.html
Software providing a fast scatterplot smoother suitable for microarray normalization based on B-splines with second-order difference penalty. Functions for microarray normalization of single-colour data i.e. Affymetrix/Illumina and two-colour data supplied as marray MarrayRaw-objects or limma RGList-objects are available.
Proper citation: TurboNorm (RRID:SCR_012963) Copy
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
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
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
http://www.bioconductor.org/packages/2.13/bioc/html/ChAMP.html
Software package that includes quality control metrics, a selection of normalization methods and novel methods to identify differentially methylated regions and to highlight copy number aberrations.
Proper citation: ChAMP (RRID:SCR_012891) Copy
http://bioconductor.org/packages/release/bioc/html/CSAR.html
Statistical tools for the analysis of ChIP-seq data.
Proper citation: CSAR (RRID:SCR_012930) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/CSSP.html
Software for power computation for ChIP-Seq data based on Bayesian estimation for local poisson counting process.
Proper citation: CSSP (RRID:SCR_012932) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/cghMCR.html
Software package that provides functions to identify genomic regions of interest based on segmented copy number data from multiple samples.
Proper citation: cghMCR (RRID:SCR_012898) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RankProd.html
Software using a non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp).
Proper citation: RankProd (RRID:SCR_013046) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/MEDIPS.html
Software developed for analyzing data derived from methylated DNA immunoprecipitation (MeDIP) experiments followed by sequencing (MeDIP-seq).
Proper citation: MEDIPS (RRID:SCR_012996) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/Ringo.html
Software package that facilitates the primary analysis of ChIP-chip data.
Proper citation: Ringo (RRID:SCR_012973) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/phyloseq.html
Software for handling and analysis of high-throughput microbiome census data.
Proper citation: phyloseq (RRID:SCR_013080) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/BayesPeak.html
Software package that is an implementation of the BayesPeak algorithm for peak-calling in ChIP-seq data.
Proper citation: BayesPeak (RRID:SCR_013011) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/ChIPseqR.html
Software that identifies protein binding sites from ChIP-seq and nucleosome positioning experiments.
Proper citation: ChIPseqR (RRID:SCR_013016) Copy
http://www.bioconductor.org/packages//2.10/bioc/html/aCGH.html
Software functions for reading aCGH data from image analysis output files and clone information files, creation of aCGH S3 objects for storing these data. Basic methods for accessing/replacing, subsetting, printing and plotting aCGH objects.
Proper citation: aCGH (RRID:SCR_013232) Copy
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
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
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
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
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