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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://blast.ncbi.nlm.nih.gov/Blast.cgi

Web search tool to find regions of similarity between biological sequences. Program compares nucleotide or protein sequences to sequence databases and calculates statistical significance. Used for identifying homologous sequences.

Proper citation: NCBI BLAST (RRID:SCR_004870) Copy   

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http://compbio.cs.toronto.edu/prism/

Software for split read (reads which span across a structrual variant -- SV ) mapping and SV calling from the mapping result. It is able to detect small insertions and abitrary size deletions, inversions and tandom duplications with the direction of discordant read pairs. PRISM_CTX is a tool for detecting inter-chromosome trans-location events.

Proper citation: PRISM - Pair Read Informed Split Mapper (RRID:SCR_004812) Copy   

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

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

Proper citation: miRNAKey (RRID:SCR_004813) Copy   

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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   

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http://seqanswers.com/

An information resource and user-driven community focused on all aspects of next-generation genomics. They hope to become the central location for next generation sequencing technology discussion and education. The site will always attempt to cater to everyone, regardless of scientific background or knowledge. The High-Throughput Sequencing Map site was conceived by James Hadfield (Cancer Research UK, Cambridge) and built by Nick Loman (University of Birmingham). The database is as only as good as you, the users.

Proper citation: SEQanswers (RRID:SCR_004808) 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   

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http://cbil.upenn.edu/BEERS/

A simulation engine for generating RNA-Seq data that was designed to benchmark RNA-Seq alignment algorithms and also algorithms that aim to reconstruct different isoforms and alternate splicing from RNA-Seq data. By default BEERS simulates either mouse or human paired-end RNA-Seq data modeled on the illumina platform. It starts with a large number of gene models (approx 500K) taken from about ten different published annotation efforts, and then chooses a fixed number of these genes at random (30,000 by default). This avoids biasing for or against any particular set of annotations. BEERS then introduces substitutions, indels, alternate spice forms, sequencing errors, and intron signal. BEERS can also simulate strand specific reads. BEERS does not simulate quality scores. There are four configuration files required, these are available for human and mouse. BEERS can also be configured to use any set of gene models. Pre-built indexes for human refseq are given. Using these indexes will generate a much tamer set of transcripts. BEERS is written in perl.

Proper citation: BEERS (RRID:SCR_005090) Copy   

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http://flux.sammeth.net/capacitor.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Software that aims at modeling RNA-Seq experiments in silico: sequencing reads are produced from a reference genome according annotated transcripts. The simulation pipeline models different steps as modules, each with a minimal set of parameters that can be estimated by experimental parameters. The first step is-in fact-a transcriptome simulator. Subsequently, common sources of systematic bias in the abundance and distribution of produced reads are simulated by in silico library preparation and sequencing.

Proper citation: Flux Simulator (RRID:SCR_005088) Copy   

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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   

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http://compbio.cs.huji.ac.il/NucPosition/TemplateFiltering/Home.html

A software pipeline for analyzing deep sequencing maps of chromatin structure.

Proper citation: TemplateFilter (RRID:SCR_004980) Copy   

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http://drive5.com/uparse/

An Operational Taxonomic Unit (OTU) clustering software for 16S and other marker genes. Highly accurate OTU sequences and improved diversity measures.

Proper citation: UPARSE (RRID:SCR_005020) Copy   

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http://www.cebitec.uni-bielefeld.de/index.php/2-uncategorised/47-carma?highlight=WyJjYXJtYSJd

A software pipeline for characterizing the taxonomic composition and genetic diversity of short-read metagenomes. The software was originally designed for the analysis of environmental metagenomes obtained by the ultra-fast 454 pyrosequencing system.

Proper citation: CARMA (RRID:SCR_004999) Copy   

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http://smd.princeton.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 17, 2021. Database to store, annotate, view, analyze and share microarray data. It provides registered users access to their own data, provides users access to public data, and tools with which to analyze those data, to any public user anywhere in the world. The GenePattern software package has been incorporated directly into SMD, providing access to many new analysis tools, as well as a plug-in architecture that allows users to directly integrate and share additional tools through SMD. This extension is available with the SMD source code that is fully and freely available to others under an Open Source license, enabling other groups to create a local installation of SMD with an enriched data analysis capability. SMD search options allow the user to Search By Experiments, Search By Datasets, or Search By Gene Names. Web services are provided using common standards, such as Simple Object Access Protocol (SOAP). This enables both local and remote researchers to connect to an installation of the database and retrieve data using pre-defined methods, without needing to resort to use of a web browser.

Proper citation: SMD (RRID:SCR_004987) Copy   

•   Source: SciCrunch Registry
  

http://mitcr.milaboratory.com/

An open source software package aimed at extraction of information on repertoire of T-cell clones from Next Generation Sequencing (NGS) data. It is designed with the knowledge of the critical challenges arising in everyday processing of immunological data.

Proper citation: MiTCR (RRID:SCR_004989) Copy   

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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   

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http://compbio.cs.toronto.edu/hapsembler/scarpa.html

A stand-alone scaffolding tool for NGS data. It can be used together with virtually any genome assembler and any NGS read mapper that supports SAM format. Other features include support for multiple libraries and an option to estimate insert size distributions from data.

Proper citation: Scarpa (RRID:SCR_005073) Copy   

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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
  

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

A quick and simple pipeline for the analysis of transposable element (TE) insertions in (natural) populations using next generation sequencing. It calculates TE insertion frequencies for TEs that are present in the reference genome as well as for novel TE insertions. PoPoolation TE requires paired-end reads from a pooled population, a reference sequence and transposable element sequences (fasta-file).

Proper citation: PoPoolation TE (RRID:SCR_005131) Copy   

•   Source: SciCrunch Registry
  

http://en.bioinformatica-na-escola.org/

Project to use bioinformatics-based research activities in high schools that provides teachers and students training materials to support the teaching of Life Sciences, particularly in the area of Biology. Their aims include new ways to learn biology, adapting Bioinformatics exercises to the curricula of practical classes, and encouraging the acquisition of new scientific and technological knowledge.

Proper citation: Bioinformatics(at)school (RRID:SCR_005245) Copy   

•   Source: SciCrunch Registry