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http://creskolab.uoregon.edu/stacks/

A software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform. It was developed to work with restriction enzyme-based data, such as RAD-seq, for the purpose of building genetic maps and conducting population genomics and phylogeography.

Proper citation: Stacks (RRID:SCR_003184) Copy   

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http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/

Software tool for finding the minimum free energy hybridization of a long and a short RNA. The hybridization is performed in a kind of domain mode, i.e., the short sequence is hybridized to the best fitting part of the long one. The tool is primarily meant as a means for microRNA target prediction.

Proper citation: RNAhybrid (RRID:SCR_003252) Copy   

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https://github.com/mozack/abra

Software that is a realigner for next generation sequencing data. It uses localized assembly and global realignment to align reads more accurately, thus improving downstream analysis (detection of indels and complex variants in particular).

Proper citation: Assembly Based ReAligner (RRID:SCR_003277) Copy   

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http://www.mirbase.org/

Central online repository for microRNA nomenclature, sequence data, annotation and target prediction.Collection of published miRNA sequences and annotation.

Proper citation: miRBase (RRID:SCR_003152) Copy   

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

Software package for quantitative DNA sequencing for chromosomal aberrations providing a robust, cost-effective WGS method for DNA copy number analysis. The genome is divided into non-overlapping fixed-sized bins, number of sequence reads in each counted, adjusted with a simultaneous two-dimensional loess correction for sequence mappability and GC content, and filtered to remove spurious regions in the genome. Downstream steps of segmentation and calling are also implemented via packages DNAcopy and CGHcall, respectively.

Proper citation: QDNAseq (RRID:SCR_003174) Copy   

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http://www.qgene.org/

A free, open-source, computationally efficient Java program for comparative analyses of QTL mapping data and population simulation that runs on any computer operating system. (entry from Genetic Analysis Software) It is written with a plug-in architecture for ready extensibility. The software accommodates line-cross mating designs consisting of any arbitrary sequence of selfing, backcrossing, intercrossing and haploid-doubling steps that includes map, population, and trait simulators; and is scriptable. Source code is available on request.

Proper citation: QGene (RRID:SCR_003209) Copy   

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http://compgen.bscb.cornell.edu/phast/

A freely available software package for comparative and evolutionary genomics that consists of about half a dozen major programs, plus more than a dozen utilities for manipulating sequence alignments, phylogenetic trees, and genomic annotations. For the most part, PHAST focuses on two kinds of applications: the identification of novel functional elements, including protein-coding exons and evolutionarily conserved sequences; and statistical phylogenetic modeling, including estimation of model parameters, detection of signatures of selection, and reconstruction of ancestral sequences. It consists of over 60,000 lines of C code.

Proper citation: PHAST (RRID:SCR_003204) Copy   

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https://github.com/hangelwen/miR-PREFeR

An accurate, fast, and easy-to-use plant miRNA prediction software tool using small RNA-Seq data. It utilizes expression patterns of miRNA and follows the criteria for plant microRNA annotation to accurately predict plant miRNAs from one or more small RNA-Seq data samples of the same species.

Proper citation: miR-PREFeR (RRID:SCR_003353) Copy   

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http://www.pictar.org

An algorithm for the identification of microRNA targets. Details are provided (3' UTR alignments with predicted sites, links to various public databases etc) regarding: # microRNA target predictions in vertebrates (Krek et al, Nature Genetics 37:495-500 (2005)) # microRNA target predictions in seven Drosophila species (Grn et al, PLoS Comp. Biol. 1:e13 (2005)) # microRNA targets in three nematode species (Lall et al, Current Biology 16, 1-12 (2006)) # human microRNA targets that are not conserved but co-expressed (i.e. the microRNA and mRNA are expressed in the same tissue) (Chen and Rajewsky, Nat Genet 38, 1452-1456 (2006)) co-expressed targets

Proper citation: PicTar (RRID:SCR_003343) Copy   

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https://planttfdb.gao-lab.org/

Comprehensive plant transcription factor database. Interface to allow users to search the database by IDs or free texts, to make sequence similarity search against TFs of all or individual species, and to download TF sequences for local analysis.PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors

Proper citation: PLANTTFDB (RRID:SCR_003362) Copy   

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http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/

Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) Copy   

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

Software package providing functions for the selection of optimal reference genes and the normalization of real-time quantitative PCR data.

Proper citation: NormqPCR (RRID:SCR_003388) Copy   

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http://www.xenbase.org/

Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics.

Proper citation: Xenbase (RRID:SCR_003280) Copy   

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http://code.google.com/p/popoolation/

A collection of tools to facilitate population genetic studies of next generation sequencing data from pooled individuals. It builds upon open source tools (bwa, samtools) and uses standard file formats (gtf, sam, pileup) to ensure a wide compatibility. PoPoolation allows to calculate Tajima's Pi, Watterson's Theta and Tajima's D for reference sequences using a sliding window approach. Alternatively these population genetic estimators may be calculated for a set of genes (provided as gtf). One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools.

Proper citation: PoPoolation (RRID:SCR_003495) Copy   

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https://bioconductor.org/packages/genomation/

Software R package for simplfiying common tasks in genomic feature analysis. Toolkit to summarize, annotate and visualize genomic intervals. Provides functions for reading BED and GFF files as GRanges objects, summarizing genomic features over predefined windows so users can make average enrichment of features over defined regions or produce heatmaps. Can annotate given regions with other genomic features such as exons,introns and promoters.

Proper citation: genomation (RRID:SCR_003435) Copy   

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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   

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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   

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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   

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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