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http://liulab.dfci.harvard.edu/NPS/

A python software package that can identify nucleosome positions given histone-modification ChIP-seq or nucleosome sequencing at the nucleosome level.

Proper citation: NPS (RRID:SCR_010890) Copy   

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http://linus.nci.nih.gov/BRB-ArrayTools.html

An integrated software package for the visualization and statistical analysis of DNA microarray gene expression data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: BRB-ArrayTools (RRID:SCR_010938) Copy   

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http://mmb.pcb.ub.es/nucleR/

A R/Bioconductor package for a flexible and fast recognition of nucleosome positioning from next generation sequencing and tiling arrays experiments. The software is integrated with standard high-throughput genomics R packages and allows for in situ visualization as well as to export results to common genome browser formats.

Proper citation: nucleR (RRID:SCR_010895) Copy   

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http://genovar.sourceforge.net/

A Detection and Visualization software tool for Genomic Variants.

Proper citation: Genovar (RRID:SCR_010930) Copy   

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http://www.arrayanalysis.org/

Tools for microarray quality control and pre-processing.

Proper citation: ArrayAnalysis.org (RRID:SCR_010932) Copy   

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http://bcb.dfci.harvard.edu/~gcyuan/MAnorm/MAnorm.htm

A robust software package for quantitative comparison of ChIP-Seq data sets.

Proper citation: MAnorm (RRID:SCR_010869) Copy   

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http://software.big.ac.cn/MeRIP-PF.html

A high-efficiency and easy-to-use analysis pipeline for MeRIP-Seq peak-finding at high resolution, which compares distributions of reads between immunoprecipitation sample and control sample.

Proper citation: MeRIP-PF (RRID:SCR_010904) Copy   

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https://code.google.com/p/batmeth/

Improved mapper for bisulfite sequencing reads on DNA methylation.

Proper citation: BatMeth (RRID:SCR_010906) Copy   

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http://quma.cdb.riken.jp/

You can easily align, visualize and quantify bisulfite sequence data for CpG methylation analysis.

Proper citation: QUMA (RRID:SCR_010907) Copy   

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http://ranger.sourceforge.net/

Software for a multi-purpose ChIP Seq peak caller.

Proper citation: PeakRanger (RRID:SCR_010863) Copy   

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http://biodoop-seal.sourceforge.net/

A suite of distributed software applications for aligning short DNA reads, and manipulating and analyzing short read alignments.

Proper citation: SEAL (RRID:SCR_010914) Copy   

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http://cran.r-project.org/web/packages/DIME/index.html

R-package for identifying differential ChIP-seq based on an ensemble of mixture models.

Proper citation: DIME (RRID:SCR_010874) Copy   

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http://bio-bwa.sourceforge.net/

Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.

Proper citation: BWA (RRID:SCR_010910) Copy   

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http://sourceforge.net/apps/mediawiki/cloudburst-bio/index.php?title=CloudBurst

A new parallel read-mapping algorithm optimized for mapping next-generation sequence data to the human genome and other reference genomes, for use in a variety of biological analyses including SNP discovery, genotyping, and personal genomics.

Proper citation: CloudBurst (RRID:SCR_010911) Copy   

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

Software library that contains functions to investigate links between differential gene expression and the chromosomal localization of the genes. It is motivated by the common observation of phenomena involving large chromosomal regions in tumor cells. MACAT is the implementation of a statistical approach for identifying significantly differentially expressed chromosome regions.

Proper citation: MACAT (RRID:SCR_001350) Copy   

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

Software to identify differentially expressed genes. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes.

Proper citation: lapmix (RRID:SCR_001347) Copy   

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http://www.bioinf.jku.at/software/farms/farms.html

Software using a model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. It is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise.

Proper citation: FARMS (RRID:SCR_001344) Copy   

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https://bioconductor.org/packages//2.11/bioc/html/bridge.html

Software package to test for differentially expressed genes with microarray data. It can be used with both cDNA microarrays or Affymetrix chip. The packge fits a robust Bayesian hierarchical model for testing for differential expression. Outliers are modeled explicitly using a $t$-distribution. The model includes an exchangeable prior for the variances which allow different variances for the genes but still shrink extreme empirical variances. The model can be used for testing for differentially expressed genes among multiple samples, and can distinguish between the different possible patterns of differential expression when there are three or more samples. Parameter estimation is carried out using a novel version of Markov Chain Monte Carlo that is appropriate when the model puts mass on subspaces of the full parameter space.

Proper citation: bridge (RRID:SCR_001343) Copy   

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

Software package that implements a method for normalizing microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance on the mean intensity, and a variance stabilizing data transformation. Differences between transformed intensities are analogous to normalized log-ratios. However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.

Proper citation: vsn (RRID:SCR_001459) Copy   

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https://www.unafold.org/

Software package for nucleic acid folding and hybridization prediction. It has capabilities to predict folding for single-stranded RNA or DNA through a combination of free energy minimization, partition function calculations and stochastic sampling. The program runs on Unix and Linux platforms as well as Mac OS X and Windows.

Proper citation: UNAFold (RRID:SCR_001360) Copy   

•   Source: SciCrunch Registry