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http://neuro.debian.net/

Collection based on a collaborative effort of popular neuroscience research software for the Debian operating system as well as Ubuntu and other derivatives. Popular packages include AFNI, FSL, PyMVPA and many others. It contains both unofficial or prospective packages which are not (yet) available from the main Debian archive, as well as backported or simply rebuilt packages also available elsewhere. A listing of current and planned projects is available if you want to get involved. The main goal of the project is to provide a versatile and convenient environment for neuroscientific research that is based on open-source software. To this end, the project offers a package repository that complements the main Debian (and Ubuntu) archive. NeuroDebian is not yet another Linux distribution, but rather an effort inside the Debian project itself. Software packages are fully integrated into the Debian system and from there will eventually migrate into Ubuntu as well. With NeuroDebian, installing and updating neuroscience software is no different from any other part of the operating system. Maintaining a research software environment becomes as easy as installing an editor. There is also virtual machine to test NeuroDebian on Windows or Mac OS. If you want to see your software packaged for Debian, please drop them a note.

Proper citation: neurodebian (RRID:SCR_004401) Copy   

•   Source: SciCrunch Registry

http://www.stat.purdue.edu/~cheng70/code.html

A classification software for DNA methylation profiling with bisulphite next-generation sequencing data.

Proper citation: MSC (RRID:SCR_005450) 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://cran.r-project.org/src/contrib/Archive/iFad/

An R software package implementing a bayesian sparse factor model for the joint analysis of paired datasets, the gene expression and drug sensitivity profiles, measured across the same panel of samples, e.g. cell lines.

Proper citation: iFad (RRID:SCR_000271) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/src/contrib/Archive/postgwas/

A comprehensive software toolkit for post-processing, visualization and advanced analysis of GWAS results.

Proper citation: Postgwas (RRID:SCR_000156) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

Proper citation: MIMOSA (RRID:SCR_000184) Copy   

•   Source: SciCrunch Registry

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

Software that uses a Bayesian hierarchical mixture model to learn correlation patterns of allele-specificity among multiple proteins.

Proper citation: iASeq (RRID:SCR_000420) Copy   

•   Source: SciCrunch Registry

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

An R/Bioconductor package that interfaces the X!Tandem protein identification algorithm.

Proper citation: rTANDEM (RRID:SCR_000409) Copy   

•   Source: SciCrunch Registry

https://github.com/yongchao/flowPeaks

Software for fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.

Proper citation: flowPeaks (RRID:SCR_000407) Copy   

•   Source: SciCrunch Registry

https://posit.co/

Open source and enterprise ready professional software for R statistical computing environment. Integrated development environment for R. Includes console, syntax highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Available in open source and commercial editions and runs on desktop Windows, Mac, and Linux or in browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).

Proper citation: RStudio (RRID:SCR_000432) Copy   

•   Source: SciCrunch Registry

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

Software that provides quality control and quality assessment tools for gated flow cytometry data.

Proper citation: QUALIFIER (RRID:SCR_000389) Copy   

•   Source: SciCrunch Registry

https://github.com/feizhe/PGS

Software tool for association study of high-dimensional microRNA expression data with repeated measures. The penalized regression model incorporates a grid search method for analyzing associations of high-dimensional microRNA expression data with repeated measures.

Proper citation: PGS (RRID:SCR_000475) 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

https://cran.r-project.org/src/contrib/Archive/sybil/

A Systems Biology Library for R, implementing algorithms for constraint based analyses of metabolic networks (e.g. flux-balance analysis (FBA), minimization of metabolic adjustment (MOMA), regulatory on/off minimization (ROOM), robustness analysis and flux variability analysis). This is an implementation of COBRA toolbox in R language.

Proper citation: sybil - Efficient Constrained Based Modelling in R (RRID:SCR_000457) 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

https://github.com/PacificBiosciences/stsPlots

Software to plot primary analysis quality control metrics to assess potential SMRTcell loading problems.

Proper citation: stsPlots (RRID:SCR_000449) Copy   

•   Source: SciCrunch Registry

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

Software that discovers which isoforms of a gene are expressed in a given sample together with their abundances, based on RNA-Seq read data.

Proper citation: FlipFlop (RRID:SCR_000625) Copy   

•   Source: SciCrunch Registry

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

R package with tools for analyzing and visualizing bisulfite sequencing data.

Proper citation: bsseq (RRID:SCR_001072) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software R package written for analysis of murine palate miRNA two-color expression data.

Proper citation: MmPalateMiRNA (RRID:SCR_001070) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.10/bioc/html/R453Plus1Toolbox.html

R software toolbox of functions for the analysis of data generated by Roche's 454 sequencing platform. Additional functions are included for quality assurance, annotation and visualization of detected variants, complementing the software tools shipped by Roche with their product. A pipeline for the detection of structural variants is provided.

Proper citation: R453Plus1Toolbox (RRID:SCR_001105) Copy   

•   Source: SciCrunch Registry