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

Software package for meta-analysis of RNA-Seq count data in multiple studies. The probabilities by one-sided NOISeq are combined by Fisher's method or Stouffer's method.

Proper citation: metaSeq (RRID:SCR_000056) Copy   

•   Source: SciCrunch Registry

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

Software package that provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Proper citation: factDesign (RRID:SCR_001330) Copy   

•   Source: SciCrunch Registry

https://rdrr.io/bioc/spotSegmentation/

Model-based software package for processing microarray images so as to estimate foreground and background intensities. The method starts with a very simple but effective automatic gridding method, and then proceeds in two steps. The first step applies model-based clustering to the distribution of pixel intensities, using the Bayesian Information Criterion (BIC) to choose the number of groups up to a maximum of three. The second step is spatial, finding the large spatially connected components in each cluster of pixels. The method thus combines the strengths of the histogram-based and spatial approaches. It deals effectively with inner holes in spots and with artifacts. It also provides a formal inferential basis for deciding when the spot is blank, namely when the BIC favors one group over two or three.

Proper citation: spotSegmentation (RRID:SCR_001298) Copy   

•   Source: SciCrunch Registry

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

Software for adaptive Gene Picking for Microarray Expression Data Analysis.

Proper citation: pickgene (RRID:SCR_001331) Copy   

•   Source: SciCrunch Registry

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

Software package providing a collection of meta-analysis tools for analysing high throughput experimental data.

Proper citation: GeneMeta (RRID:SCR_001201) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Software R package for the analysis of ChIP-chip data and Affymetrix tiling arrays. It provides functions for data import, quality assessment, and data visualization. The software provides tools for the efficient mapping of genomic sequences.

Proper citation: Starr (RRID:SCR_001071) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. Software tools for meta-analysis in the presence of hierarchical (and/or sampling) dependence, including with gene expression studies.

Proper citation: metahdep (RRID:SCR_001225) Copy   

•   Source: SciCrunch Registry

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

An easy to use software tool for dual color microarray data. Its GUI-Tk based environment lets any non-experienced user perform a basic, but not simple, data analysis just following a wizard. In addition it provides some tools for the developer.

Proper citation: genArise (RRID:SCR_001346) Copy   

•   Source: SciCrunch Registry

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

A software package for meta-analysis of high-throughput experiments using feature annotations. It calculates significant annotations (categories) in each of two (or more) feature (i.e. gene) lists, determines the overlap between the annotations, and returns graphical and tabular data about the significant annotations and which combinations of feature lists the annotations were found to be significant. Interactive exploration is facilitated through the use of RCytoscape (heavily suggested).

Proper citation: categoryCompare (RRID:SCR_001223) Copy   

•   Source: SciCrunch Registry

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

R software package that uses a Bayesian hierarchical model to detect enriched regions from ChIP-chip experiments.

Proper citation: BAC (RRID:SCR_001067) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/data/annotation/html/targetscan.Hs.eg.db.html

R software that predicts biological targets of miRNAs by searching for the presence of conserved 8mer and 7mer sites that match the seed region of each miRNA.

Proper citation: targetscan.Hs.eg.db (RRID:SCR_001068) Copy   

•   Source: SciCrunch Registry

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

A software package that tests groups of covariates (or features) for association with a response variable. The package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

Proper citation: globaltest (RRID:SCR_001256) Copy   

•   Source: SciCrunch Registry

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

R package with tools for de novo motif discovery in large-scale genomic sequence data.

Proper citation: rGADEM (RRID:SCR_001091) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/resolver/SCR_002250

THIS RESOURCE IS NO LONGER IN SERVICE. Documented Jul 19, 2024. Metadatabase manually curated that provides web accessible tools related to genomics, transcriptomics, proteomics and metabolomics. Used as informative directory for multi-omic data analysis.

Proper citation: OMICtools (RRID:SCR_002250) Copy   

•   Source: SciCrunch Registry

http://r3cseq.genereg.net/Site/index.html

An R/Bioconductor package to identify chromosomal interaction regions generated by chromosome conformation capture (3C) coupled to next-generation sequencing (NGS), a technique termed 3C-seq. It performs data analysis for a number of different experimental designs, as it can analyze 3C-seq data with or without a control experiment and it can be used to facilitate data analysis for experiments with multiple replicates. The r3Cseq package provides functions to perform data normalization, statistical analysis for cis/trans interactions and visualization in order to help scientists identify genomic regions that physically interact with the given viewpoints of interest. This tool greatly facilitates hypothesis generation and the interpretation of experimental results.

Proper citation: r3Cseq (RRID:SCR_003198) Copy   

•   Source: SciCrunch Registry

http://bioinfo.cipf.es/noiseq/doku.php?id=start

Software used for the identification of differentially expressed genes from count data or previously normalized count data. It empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene is likely to be part of the noise or represent a true differential expression.

Proper citation: NOISeq (RRID:SCR_003002) 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

https://bioconductor.org/packages/StructuralVariantAnnotation/

Software R package for structural variant analysis. Contains helper functions for dealing with structural variants in VCF format. Contains functions for parsing VCFs from number of popular callers as well as functions for dealing with breakpoints involving two separate genomic loci encoded as GRanges objects.

Proper citation: StructuralVariantAnnotation (RRID:SCR_018683) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/EnhancedVolcano/

Software R package to produce publication ready volcano plots with enhanced colouring and labeling. Used to visualise results of differential expression analyses.

Proper citation: EnhancedVolcano (RRID:SCR_018931) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/DEGreport/

Software R package for creation of HTML report of differential expression analyses of count data. Integrates some of code mentioned in DESeq2 and edgeR vignettes, and reports ranked list of genes according to fold changes mean and variability for each selected gene.

Proper citation: DEGreport (RRID:SCR_018941) Copy   

•   Source: SciCrunch Registry