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

Software package to infer gene regulatory networks from time-series measurements. The algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.

Proper citation: TDARACNE (RRID:SCR_000498) Copy   

•   Source: SciCrunch Registry

http://mfuzz.sysbiolab.eu/

Software package for noise-robust soft clustering of gene expression time-series data (including a graphical user interface)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Mfuzz (RRID:SCR_000523) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/Rdisop.html

Software for identification of metabolites using high precision mass spectrometry. MS Peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.

Proper citation: Rdisop (RRID:SCR_000453) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/devel/bioc/html/DMRforPairs.html

Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance.

Proper citation: DMRforPairs (RRID:SCR_005702) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/devel/bioc/html/deepSNV.html

Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants).

Proper citation: deepSNV (RRID:SCR_006214) Copy   

•   Source: SciCrunch Registry

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

Software for analysis of array CGH data: detection of breakpoints in genomic profiles and assignment of a status (gain, normal or loss) to each chromosomal regions identified.

Proper citation: GLAD (RRID:SCR_001284) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/org.Hs.eg.db/

Software R package as object for simple mapping of Entrez Gene identifiers https://www.ncbi.nlm.nih.gov/ entrez/query.fcgi?db=gene to all possible GenBank accession numbers.

Proper citation: org.Hs.eg.db (RRID:SCR_024739) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/combi/

Software R package for simultaneous exploration of multiple datasets. Compositional omics model based visual integration.Used to integrate omics data for visualization, with special focus on compositionality.

Proper citation: combi (RRID:SCR_024986) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/microbiome/

Software R package for use in microbiome analysis. Used to provide comprehensive collection of tools and tutorials, with particular focus on amplicon sequencing data.

Proper citation: microbiome (RRID:SCR_024699) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/ChIPseeker/

Software package to retrieve nearest genes around peak, annotate genomic region of peak, implements statstical methods for estimate significance of overlap among ChIP peak data sets, and incorporate GEO database for user to compare own dataset with those deposited in database.Several visualization functions are implemented to summarize coverage of peak experiment, average profile and heatmap of peaks binding to TSS regions, genomic annotation, distance to TSS, and overlap of peaks or genes.

Proper citation: ChIPseeker (RRID:SCR_021322) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/org.Rn.eg.db/

Software R tool for genome wide annotation for Rat, primarily based on mapping using Entrez Gene identifiers.

Proper citation: org.Rn.eg.db (RRID:SCR_018358) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/nondetects.html

Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.

Proper citation: nondetects (RRID:SCR_001702) Copy   

•   Source: SciCrunch Registry

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

Software package for the analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Proper citation: HTqPCR (RRID:SCR_003375) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/epigenomix.html

Software package for the integrative analysis of microarray based gene expression and histone modification data obtained by ChIP-seq. The package provides methods for data preprocessing and matching as well as methods for fitting bayesian mixture models in order to detect genes with differences in both data types.

Proper citation: epigenomix (RRID:SCR_006407) Copy   

•   Source: SciCrunch Registry

https://github.com/hemberg-lab/scmap

Software tool for unsupervised projection of single cell RNA-seq data. Used for projecting cells from scRNA-seq data set onto cell types or individual cells from other experiments.

Proper citation: Scmap (RRID:SCR_017338) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/devel/bioc/html/SeqGSEA.html

Software package that provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively.

Proper citation: SeqGSEA (RRID:SCR_005724) Copy   

•   Source: SciCrunch Registry

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

R package that takes a list of p-values resulting from the simultaneous testing of hypotheses and estimates their q-values. It is designed to measure the proportion of false positives when a test is significant. The software is capable of generating plots for visualization. It can be applied to problems in genomics, brain imaging, astrophysics, and data mining.

Proper citation: Qvalue (RRID:SCR_001073) Copy   

•   Source: SciCrunch Registry

http://geneontology.org/docs/tools-overview/

Collection of tools developed by GO Consortium and by third parties. Tools are listed by category or alphabetically and continue to be improved and expanded.

Proper citation: Gene Ontology Tools (RRID:SCR_006941) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/limma/

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

Proper citation: LIMMA (RRID:SCR_010943) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/help/mailing-list/

This mailing list is for announcements about Bioconductor and the availability of new code and questions and answers about problems and solutions using Bioconductor.

Proper citation: Bioconductor mailing list (RRID:SCR_012915) Copy   

•   Source: SciCrunch Registry