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https://github.com/mpyatkov/sbars

Bioinformatics tool for searching different types of long repeats in sequences comparable by size with chromosomes.

Proper citation: SBARS (RRID:SCR_002371) Copy   

•   Source: SciCrunch Registry

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

A Bioconductor package integrating algorithms to extract compound spectra, annotate isotope and adduct peaks, and propose the accurate compound mass even in highly complex data.

Proper citation: CAMERA - Collection of annotation related methods for mass spectrometry data (RRID:SCR_002466) Copy   

•   Source: SciCrunch Registry

http://www.ensembl.org/

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

Proper citation: Ensembl (RRID:SCR_002344) Copy   

•   Source: SciCrunch Registry

http://droog.gs.washington.edu/polyphred/

Software program that compares fluorescence-based sequences across traces obtained from different individuals to identify heterozygous sites for single nucleotide substitutions. Its functions are integrated with the use of three other programs: Phred (Brent Ewing and Phil Green), Phrap (Phil Green), and Consed (David Gordon and Phil Green). PolyPhred identifies potential heterozygotes using the base calls and peak information provided by Phred and the sequence alignments provided by Phrap. Potential heterozygotes identified by PolyPhred are marked for rapid inspection using the Consed tool.

Proper citation: PolyPhred (RRID:SCR_002337) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/isa2/

A biclustering algorithm that finds modules in an input matrix. A module or bicluster is a block of the reordered input matrix.

Proper citation: Iterative Signature Algorithm (RRID:SCR_002327) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cuda-ec/

A fast parallel error correction tool for short reads.

Proper citation: CUDA-EC (RRID:SCR_001090) Copy   

•   Source: SciCrunch Registry

http://131.174.198.125/bioinfo/gimmemotifs/

Software that provides a de novo motif prediction pipeline, especially suited for ChIP-seq datasets. It incorporates several existing motif prediction algorithms in an ensemble method to predict motifs and clusters these motifs using the WIC similarity scoring metric., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GimmeMotifs (RRID:SCR_001146) 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

https://github.com/FelixKrueger/Sherman

Software tool to simulate FastQ files for high-throughput sequencing experiments. It allows the user to introduce various "contaminants" into the sequences, such as basecall errors, SNPs, adapter fragments etc., in order to evaluate the influence of common problems observed in many Next-Gen Sequencing experiments.

Proper citation: Sherman (RRID:SCR_001294) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/ibm-cbc-genomic-tools/

A flexible computational platform, comprising both a command-line set of tools and a C++ API, for the analysis and manipulation of high-throughput sequencing data such as DNA-seq, RNA-seq, ChIP-seq and MethylC-seq. It implements a variety of mathematical operations between sets of genomic regions thereby enabling the prototyping of computational pipelines that can address tasks from preprocessing and quality control to meta-analyses. The user can create average read profiles across transcriptional start sites or enhancer sites, quickly prototype customized peak discovery methods for ChIP-seq experiments, perform genome-wide statistical tests such as enrichment analyses, design controls via appropriate randomization schemes, among other applications. In addition to enabling rapid prototyping, the platform is designed to analyze large-datasets in a single-pass fashion in order to minimize memory and intermediate file requirements. The platform supports the widely used BED format to facilitate visualization as well as integration with existing platforms and pipelines such as Galaxy or BioConductor.

Proper citation: GenomicTools (RRID:SCR_001205) Copy   

•   Source: SciCrunch Registry

http://www.genome.duke.edu/labs/ohler/research/PARalyzer/

Software tool to generate a high resolution map of interaction sites between RNA-binding proteins and their targets. The algorithm utilizes the deep sequencing reads generated by the newly developed PAR-CLIP (Photoactivatable-Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation) protocol. The use of photoactivatable nucleotides in the PAR-CLIP protocol results in a more efficient crosslinking between the RNA-binding protein and its target relative to other CLIP methods; in addition a nucleotide substitution occurs at the site of crosslinking during Illumina library preparation. PARalyzer utilizes this nucleotide substition in a kernel density estimate classifier to generate the high resolution set of Protein-RNA interaction sites.

Proper citation: PARalyzer (RRID:SCR_001208) Copy   

•   Source: SciCrunch Registry

http://yiplab.cse.cuhk.edu.hk/probrna/

Software for computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data.

Proper citation: ProbRNA (RRID:SCR_001288) Copy   

•   Source: SciCrunch Registry

http://sequedex.lanl.gov/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025.Software to classify the function and phylogeny of reads as short as 30 bp. It is flexible, which can utilize multiple data modules and downstream analysis scripts. It is fast, reading in signature lists of 5-500 million peptide signatures in 1-15 minutes, and subsequently processes genomic fragments at the rate of 6 Gbp/hr. It parallelizes without significant increase in memory requirements until I/O bound on multiple input files; parallelization works well on 64 processors.

Proper citation: Sequedex (RRID:SCR_001233) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.org/peakanalyzer/wiki/

A set of standalone software programs for the automated processing of any genomic loci, with an emphasis on datasets consisting of ChIP-derived signal peaks. The software is able to identify individual binding / modification sites from enrichment loci, retrieve peak region sequences for motif discovery, and integrate experimental data with different classes of annotated elements throughout the genome. PeakAnalyzer requires a peak file and a feature annotation file in BED or GTF format. Complete annotation files for the current builds of the human (HG19) and mouse (MM9) genomes are provided with the software distribution.

Proper citation: PeakAnalyzer (RRID:SCR_001194) Copy   

•   Source: SciCrunch Registry

http://sv.gersteinlab.org/breakseq/

Software for scanning reads from short-read sequenced genomes against a human breakpoint library to accurately identify structural variants (SVs). The library of breakpoints at nucleotide resolution were assembled from collating and standardizing ~2,000 published structural variants (SVs). For each breakpoint, its ancestral state (through comparison to primate genomes) was inferred and its mechanism of formation (e.g., nonallelic homologous recombination, NAHR).

Proper citation: BreakSeq (RRID:SCR_001186) Copy   

•   Source: SciCrunch Registry

http://www-genepi.med.utah.edu/suppl/SLOPE/index.html

Software that consists of two command-line utilities, slope_align (which finds the best split-read alignments to the reference genome) and slope_cluster (which clusters and outputs the alignments)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SLOPE (RRID:SCR_001185) Copy   

•   Source: SciCrunch Registry

http://genomics1.mh-hannover.de/genometa/index.php?Site=Home

A Java based bioinformatics program which allows rapid analysis of metagenomic short read datasets. Millions of short reads can be accurately analysed within minutes and visualised in the browser component. A large database of diverse bacteria and archaea has been constructed as a reference sequence. The approach is based upon the established open source visualisation tool IGB and supported by the rapid alignment program bowtie. The Picard toolset for SAM files is also made use of.

Proper citation: Genometa (RRID:SCR_001181) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/vibansal/software/picall

Software to detect short insertion / deletion variants (and SNPs) from population sequence data, i.e. sequence reads generated from a population of individuals. It uses a probabilistic model to utilize sequence reads from a population of individuals to automatically account for context-specific sequencing errors associated with indels. piCALL is implemented in C for use on Linux platforms and can be applied to sequence data from different sequencing platforms. However, the method requires each individual in a dataset to be sequenced using the same platform. The reads for each individual should be aligned to the same reference genome sequence. Note that the program will not be able to call indels from individual sequence datasets or data from a small number of individuals.

Proper citation: piCALL (RRID:SCR_001242) Copy   

•   Source: SciCrunch Registry

http://ginolhac.github.io/mapDamage/

Software for tracking and quantifying DNA damage patterns among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.

Proper citation: mapDamage (RRID:SCR_001240) Copy   

•   Source: SciCrunch Registry

http://minia.genouest.org/dsk/

A k-mer counting software that can count k-mers of large Illumina datasets on laptops and desktop computers.

Proper citation: DSK (RRID:SCR_001246) Copy   

•   Source: SciCrunch Registry