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http://dna.cs.byu.edu/gnumap/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. A software program designed to accurately map sequence data obtained from next-generation sequencing machines (specifically that of Solexa/Illumina) back to a genome of any size. By using the posterior probability of mapping a given read to a specific genomic loation, we are able to account for repetitive reads by distributing them across several regions in the genome. In addition, the output of the program is created in such a way that it can be easily viewed through other free and readily- available programs. Several benchmark data sets were created with spiked-in duplicate regions, and GNUMAP was able to more accurately account for these duplicate regions.

Proper citation: GNUMAP (RRID:SCR_005482) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cushaw2/files/CUSHAW2-GPU/

Software program (based on CUSHAW2) designed and optimized for Kepler-based GPUs, but still workable on earlier-generation Fermi-based ones.

Proper citation: CUSHAW2-GPU (RRID:SCR_005480) Copy   

•   Source: SciCrunch Registry

http://mbgd.genome.ad.jp/CGAT/

A comparative genome analysis tool for detailed comparison of closely related bacterial-sized genomes. It visualizes precomputed pairwise genome alignments on both dotplot and alignment viewers. Users can add information on this alignment, such as existence of tandem repeats or interspersed repetitive sequences and changes in codon usage bias, to facilitate interpretation of the observed genomic changes. Besides visualization functionalities, it also provides a general framework to process genome-scale alignments using various existing alignment programs. CGAT employs a client-server architecture, which consists of AlignmentViewer (client; a Java application) and DataServer (a set of Perl scripts). The DataServer package contains data construction scripts and CGI scripts and the AlignmentViewer program visualizes the alignment data obtained from the server thorough the HTTP protocol.

Proper citation: CGAT (RRID:SCR_005550) Copy   

•   Source: SciCrunch Registry

http://cushaw2.sourceforge.net/homepage.htm#latest

Software package for next-generation sequencing read alignment that is fast and parallel gapped read alignment to large genomes, such as the human genome.

Proper citation: CUSHAW (RRID:SCR_005479) Copy   

•   Source: SciCrunch Registry

http://manatee.sourceforge.net/

Manatee is a web-based gene evaluation and genome annotation tool; Manatee can store and view annotation for prokaryotic and eukaryotic genomes. The Manatee interface allows biologists to quickly identify genes and make high quality functional assignments, such as GO classifications, using search data, paralogous families, and annotation suggestions generated from automated analysis. Manatee can be downloaded and installed to run under the CGI area of a web server, such as Apache. Platform: Online tool, Linux compatible, Solaris

Proper citation: Manatee (RRID:SCR_005685) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/lookseq/

A web-based application for alignment visualization, browsing and analysis of genome sequence data.

Proper citation: LookSeq (RRID:SCR_005625) Copy   

•   Source: SciCrunch Registry

https://www.phenx.org/Default.aspx?tabid=56

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on 05 01 2025. PhenX is a project to prioritize Phenotype and eXposure measures for Genome-wide Association Studies (GWAS). Leaders of the scientific community will assess and prioritize a broad range of domains relevant to genomics research and public health. The PhenX Steering Committee (SC), chaired by Dr. Jonathan Haines, provides leadership in the selection of domains and domain experts. Members of the SC include outstanding scientists from the research community and liaisons from the Institutes and Centers of the National Institutes of Health. Consensus measures for GWAS will have a direct impact on biomedical research and ultimately on public health. During the course of this project, up to 20 research domains will be examined, with up to 15 measures being recommended for use in future GWAS and other large-scale genomic research efforts. The goal is to maximize the benefits of future research by having comparable measures so that studies can be integrated. Each selected domain will be reviewed by a Working Group (WG) of scientists who are experts in the research area. A systematic review of the literature will guide the WGs selection of up to 15 high priority measures with standardized approaches for measurement. Selection criteria for the measures include factors such as validity, reproducibility, cost, feasibility, and burden to both investigators and participants. The scientific community will be asked to provide input on proposed measures. Consensus development is a key component of the project.

Proper citation: Consensus Measures for Phenotype and Exposure (RRID:SCR_006688) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gasic/

A method to correct read alignment results for the ambiguities imposed by similarities of genomes.

Proper citation: GASiC (RRID:SCR_006765) Copy   

•   Source: SciCrunch Registry

https://esp.gs.washington.edu/

Project focused on understanding the contribution of rare genetic variation to heart, lung and blood disorders through the sequencing of well-phenotyped populations.

Proper citation: NHLBI Grand Opportunity Exome Sequencing Project (RRID:SCR_010798) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.babraham.ac.uk/projects/chipmonk/

Software tool to visualize and analyse ChIP-on-chip array data. Main features: * Import of data from Nimblegen arrays (other formats can be added if people send us examples) * Normalization of data (both per array and per probe) * Various data plotting options to assess data quality and the effectiveness of normalization * Creation of data groups for visualization and analysis * Visualization of data against an annotated genome. * Statistical analysis of data to find probes of interest * Creation of reports containing probes, data and genome annotation Note: This project is no longer being developed, but critical bug fixes will still be provided

Proper citation: ChIPMonk (RRID:SCR_002975) Copy   

•   Source: SciCrunch Registry

http://jbrowse.org/

A high-performance visualization tool for interactive exploration of large, integrated genomic datasets written primarily in JavaScript. It supports a wide variety of data types, including array-based and next-generation sequence data, and genomic annotations.

Proper citation: JBrowse (RRID:SCR_001004) Copy   

•   Source: SciCrunch Registry

http://crossmap.sourceforge.net/

A software program for convenient conversion of genome coordinates (or annotation files) between different assemblies. It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF. It is designed to liftover genome coordinates between assemblies. It?s not a program for aligning sequences to reference genome. CrossMap is not recommend for converting genome coordinates between species.

Proper citation: CrossMap (RRID:SCR_001173) Copy   

•   Source: SciCrunch Registry

http://www.genoviewer.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Open source viewer / browser software for the SAM / BAM format commonly used in the assembly tasks of Next Generation Sequencing data.

Proper citation: GenoViewer (RRID:SCR_001203) Copy   

•   Source: SciCrunch Registry

http://astridbio.com/genominer-genome-analyzer/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A next generation sequencing data analysis computer for biologists with or without IT background. It has an easy to-use graphical interface to analyze sequencing data in with only 15 clicks. A range of standard, add-on and custom applications help analyze and visualize data generated by Next Generation Sequencing machines. These are installed on each GenoMiner by default: * Reference assembly * De novo assembly * ChiP-Seq * BLAST * Hybrid de novo assembly * Hybrid reference assembly Add-on applications: * Quality assesment * RNA-Seq * Copy Number Variation (CNV) * Multiple Sequence Alignment * miRNA-Seq * Variant Calling

Proper citation: GenoMiner (RRID:SCR_001202) 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://sourceforge.net/apps/mediawiki/breakway/index.php

A suite of software programs that take aligned genomic data and report structural variation breakpoints. Features include: * Takes in BAM formatted input, the current standard for genomic alignments. * Compatible with standard output from major alignment algorithms such as BFAST, BWA, MAQ, et cetera. * Capable of analyzing data from any major platform--Solexa, SOLiD, 454, et cetera. * Empirically identifies structural variation breakpoints. * Highly specific analysis generates very few false positives. * Includes a suite of downstream tools for annotating identified breakpoints and reducing false positives.

Proper citation: Breakway (RRID:SCR_001180) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/mutect

Software for the reliable and accurate identification of somatic point mutations in next generation sequencing data of cancer genomes.

Proper citation: MuTect (RRID:SCR_000559) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/reprever/?source=directory

Software that identifies (a) the insertion breakpoints where the extra duplicons inserted into the donor genome and (b) the actual sequence of the duplicon for any genomic regions that are increased in copy number.

Proper citation: Reprever (RRID:SCR_000463) Copy   

•   Source: SciCrunch Registry

http://kofler.or.at/bioinformatics/SciRoKo/

Comparative genomics software that assists in whole genome microsatellite search and investigation. The command line version is called SciRoKoCo. The perl script DesignPrimer can be used to design PCR primer pairs for the SciRoKo output.

Proper citation: SciRoKo (RRID:SCR_000941) Copy   

•   Source: SciCrunch Registry

http://functionalbio.com/web/

A service that provides low cost DNA sequencing. They utilize microfluidic technology.

Proper citation: Functional Biosciences (RRID:SCR_000943) Copy   

•   Source: SciCrunch Registry