Tools   Select Another Resource Report Type

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

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/PhenStat.html

Software R package for statistical analysis of phenotypic data.Tool kit for standardized analysis of high throughput phenotypic data.

Proper citation: PhenStat (RRID:SCR_021317) Copy   

•   Source: SciCrunch Registry

https://github.com/PapenfussLab/svaNUMT

Software R package for Nuclear Mitochondrial integration events NUMT detection using structural variant calls.

Proper citation: svaNUMT (RRID:SCR_021381) Copy   

•   Source: SciCrunch Registry

http://www.fhcrc.org/

Fred Hutchinson Cancer Research Center and Seattle Cancer Care Alliance (SCCA) have merged to form Fred Hutchinson Cancer Center, unified adult cancer research and care center. Independent, nonprofit organization is clinically integrated part of UW Medicine and is UW Medicine’s cancer program.

Proper citation: Fred Hutchinson Cancer Center (RRID:SCR_004984) Copy   

•   Source: SciCrunch Registry

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

https://bioconductor.org/packages/release/bioc/html/DESeq2.html

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

Proper citation: DESeq2 (RRID:SCR_015687) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/AUCell/

Software R package to identify cells with active gene sets in single cell RNA-seq data. Used for analysis of gene set activity in single cell RNA-seq data.Used to calculate whether critical subset of input gene set is enriched within expressed genes for each cell.

Proper citation: AUCell (RRID:SCR_021327) Copy   

•   Source: SciCrunch Registry