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http://hyfi.sourceforge.net/

This collection of software is designed to rapidly identify identifies primer and microarray probe binding sites for a query sequence in genomic DNA. This software suite has four main programs:1. A program for indexing a sequence file to speed up the binding site search. 2. A program for retrieving the binding sites of a query sequence. 3. A program for identifying sites where PCR primers could co-operate to exponentially amplify a sequence 4. A program for analyzing a set of binding sites to tailor the search for different reaction conditions. This software is implemented in C.

Proper citation: hyfi: software suite for binding site search (RRID:SCR_004884) Copy   

•   Source: SciCrunch Registry

http://useq.sourceforge.net/

A collection of software tools for for both low and high level analysis of next generation, ultra high throughput signature sequencing data from the Solexa, SOLiD, and 454 platforms.

Proper citation: USeq (RRID:SCR_004753) Copy   

•   Source: SciCrunch Registry

http://ibis.tau.ac.il/miRNAkey/

A software pipeline for the analysis of microRNA Deep Sequencing data.

Proper citation: miRNAKey (RRID:SCR_004813) Copy   

•   Source: SciCrunch Registry

http://svmerge.sourceforge.net/

Software pipeline to detect structural variants (SVs) by integrating calls from several existing SV callers, which are then validated and the breakpoints refined using local de novo assembly. The output is in BED format allowing for easy downstream analysis or viewing in a genome browser. It is modular and extensible allowing new callers to be incorporated as they become available.

Proper citation: SVMerge (RRID:SCR_004777) Copy   

•   Source: SciCrunch Registry

http://www.engr.uconn.edu/~jiz08001/svseq2.html

Software for accurate and efficient calling of structural variations with low-coverage sequence data. Version 2 uses the BAM files of paired Illumina reads with soft-clip signature as input. It calls both deletions and insertions.

Proper citation: SVseq (RRID:SCR_004804) Copy   

•   Source: SciCrunch Registry

http://mrsfast.sourceforge.net/

A cache-oblivious algorithm designed to map short reads to reference genome assemblies in a fast and memory-efficient manner. It optimizes cache usage to get higher performance. Currently Supported Features: * Mistmatches, No indels * Paired-end Mapping Mode * Discordant Paired-end Mapping Mode (to be used in conjuction with Variation Hunter)

Proper citation: mrsFAST (RRID:SCR_003128) Copy   

•   Source: SciCrunch Registry

http://acgt.cs.tau.ac.il/hyden/

Software program for designing pairs of degenerate primers for a given set of DNA sequences. It works well for large input sets of genomic sequences (e.g., hundreds of sequences of length 1Kbp). It is a batch (i.e., command-line, as opposed to graphical interface) program, available for Windows XP (downloadable version) and Linux (upon request).

Proper citation: HYDEN (RRID:SCR_003126) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://gepat.sourceforge.net/

A web-based software tool offering an integrated analysis of transcriptome data under genomic, proteomic and metabolic context.

Proper citation: GEPAT (RRID:SCR_003597) Copy   

•   Source: SciCrunch Registry

http://jexpress.bioinfo.no/site/

Gene expression analysis software using Java.

Proper citation: J-Express (RRID:SCR_003609) Copy   

•   Source: SciCrunch Registry

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

A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal.

Proper citation: AmpliconNoise (RRID:SCR_007814) Copy   

•   Source: SciCrunch Registry

http://minia.genouest.org/

A short-read assembler based on a de Bruijn graph, capable of assembling a human genome on a desktop computer in a day.

Proper citation: Minia (RRID:SCR_004986) Copy   

•   Source: SciCrunch Registry

http://www.cs.helsinki.fi/u/lmsalmel/mip-scaffolder/

A software program for scaffolding contigs produced by fragment assemblers using mate pair data such as those generated by ABI SOLiD or Illumina Genome Analyzer.

Proper citation: MIP Scaffolder (RRID:SCR_005072) Copy   

•   Source: SciCrunch Registry

http://petrov.stanford.edu/cgi-bin/Tlex.html

Software package for fast and accurate discovery, annotation, re-annotation and population analysis of Transposable Elements using Next-Generation Sequencing data.

Proper citation: T-lex (RRID:SCR_005134) Copy   

•   Source: SciCrunch Registry

http://woldlab.caltech.edu/rnaseq

Software for Mapping and Quantifying Mammalian Transcriptomes by RNA-Seq. Its functions are to (i) assign reads that map uniquely in the genome to their site of origin and, for reads that match equally well to several sites (''multireads''), assign them to their most likely site(s) of origin; (ii) detect splice-crossing reads and assign them to their gene of origin; (iii) organize reads that cluster together, but do not map to an already known exon, into candidate exons or parts of exons; and (iv) calculate the prevalence of transcripts from each known or newly proposed RNA, based on normalized counts of unique reads, spliced reads and multireads. The new candidate RNA regions produced can be thought of as ESTs, and, like ESTs, some are provisionally appended to existing gene models if they meet several additional criteria. Remaining unassigned candidate transcribed regions (labeled RNAFAR features) can then be used in conjunction with other confirming data to develop new or revised gene models.

Proper citation: ERANGE (RRID:SCR_005240) Copy   

•   Source: SciCrunch Registry