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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/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

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

Software package that facilitates comparison of automated gating methods against manual gating done in flowJo. This package allows you to import basic flowJo workspaces into BioConductor and replicate the gating from flowJo using the flowCore functionality. Gating hierarchies, groups of samples, compensation, and transformation are performed so that the output matches the flowJo analysis.

Proper citation: flowWorkspace (RRID:SCR_001155) Copy   

•   Source: SciCrunch Registry

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

Software package that selects genes associated with survival.

Proper citation: rbsurv (RRID:SCR_001175) Copy   

•   Source: SciCrunch Registry

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

Software package to perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.

Proper citation: ARRmNormalization (RRID:SCR_001292) 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/methylMnM.html

Software package to detect different methylation levels (DMR) that gives the exact p-value and q-value of MeDIP-seq and MRE-seq data for different samples comparison.

Proper citation: methylMnM (RRID:SCR_001289) 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/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/MergeMaid.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. R extension whose functions are intended for cross-study comparison of gene expression array data. Required from the user is gene expression matrices, their corresponding gene-id vectors and other useful information, and they could be "list", "matrix", or "ExpressionSet". The main function is "mergeExprs" which transforms the input objects into data in the merged format, such that common genes in different datasets can be easily found. And the function "intcor" calculate the correlation coefficients. Other functions use the output from "modelOutcome" to graphically display the results and cross-validate associations of gene expression data with survival.

Proper citation: MergeMaid (RRID:SCR_001221) 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/release/bioc/html/iterativeBMAsurv.html

Software package providing a variable selection method for applying survival analysis to microarray data.

Proper citation: iterativeBMAsurv (RRID:SCR_001254) Copy   

•   Source: SciCrunch Registry

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

Software for classes and statistical methods for large single nucleotide polymorphism (SNP) association studies.

Proper citation: snpStats: SnpMatrix and XSnpMatrix classes and methods (RRID:SCR_001249) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages//2.12/bioc/html/exomeCopy.html

Software package for detection of copy number variants (CNV) from exome sequencing samples, including unpaired samples. The package implements a hidden Markov model which uses positional covariates, such as background read depth and GC-content, to simultaneously normalize and segment the samples into regions of constant copy count.

Proper citation: exomeCopy (RRID:SCR_001276) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/SMAP.html

Software package providing functions and classes for DNA copy number profiling of array-CGH data.

Proper citation: SMAP (RRID:SCR_001270) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/MinimumDistance.html

Software package for analysis of de novo copy number variants in trios from high-dimensional genotyping platforms.

Proper citation: MinimumDistance (RRID:SCR_001260) Copy   

•   Source: SciCrunch Registry

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

Software package for Illumina 450 methylation array normalization and metrics including 15 flavors of betas and three performance metrics, with methods for objects produced by methylumi, minfi and IMA packages.

Proper citation: wateRmelon (RRID:SCR_001296) 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