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Part of zebrafish genome project. ZGC project to produce cDNA libraries, clones and sequences to provide complete set of full-length (open reading frame) sequences and cDNA clones of expressed genes for zebrafish. All ZGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of ZGC project in September 2008, GenBank records of ZGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which we have ZGC clones will likely change in future, users planning to order ZGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).
Proper citation: Zebrafish Gene Collection (RRID:SCR_007054) Copy
http://www.sanger.ac.uk/Projects/D_rerio/zmp/
Create knockout alleles in protein coding genes in the zebrafish genome, using a combination of whole exome enrichment and Illumina next generation sequencing, with the aim to cover them all. Each allele created is analyzed for morphological differences and published on the ZMP site. Transcript counting is performed on alleles with a morphological phenotype. Alleles generated are archived and can be requested from this site through the Zebrafish International Resource Center (ZIRC). You may register to receive updates on genes of interest, or browse a complete list, or search by Ensembl ID, gene name or human and mouse orthologue.
Proper citation: ZMP (RRID:SCR_006161) Copy
http://www.mousephenotype.org/
Center that produces knockout mice and carries out high-throughput phenotyping of each line in order to determine function of every gene in mouse genome. These mice will be preserved in repositories and made available to scientific community representing valuable resource for basic scientific research as well as generating new models for human diseases.
Proper citation: International Mouse Phenotyping Consortium (IMPC) (RRID:SCR_006158) Copy
https://cell-innovation.nig.ac.jp/maser/Tools/visualization_top_en.html
One stop platform for NGS big data from analysis to visualization. There are about 400 analysis pipelines integrated on Maser. List of all analysis pipelines, including descriptions and approximate execution times, can be found on page for ‘All pipelines’ in the User Guide.. Regist custom genome software registers custom genomes to Genome Explorer (IN: FASTA).
Proper citation: regist custom genome (RRID:SCR_015999) Copy
http://noble.gs.washington.edu/proj/genomedata/
A format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. They have also developed utilities to load data into this format. Retrieving data from this format is more than 2900 times faster than a naive approach using wiggle files. A reference implementation in Python and C components is available here under the GNU General Public License. The software has only been tested on Linux and Mac systems.
Proper citation: Genomedata (RRID:SCR_004544) Copy
https://github.com/HMPNK/CSA2.6
Software pipeline for high-throughput chromosome level vertebrate genome assembly. Pipeline, which after contig assembly performs post assembly improvements by ordering assembly and closing gaps, as well as splitting of low supported regions.
Proper citation: Chromosome Scale Assembler (RRID:SCR_017960) Copy
https://blobtoolkit.genomehubs.org/blobtools2/
Software suite for identifying and isolating non-target data in draft and publicly available genome assemblies. Used to process assembly, read and analysis files for fully reproducible interactive exploration in browser-based Viewer. Used for interactive quality assessment of genome assemblies .BlobTools2 is reimplementation of BlobTools, written in Python 3 with fully modular design to make creating new datasets and adding additional analysis types easier.
Proper citation: BlobTools2 (RRID:SCR_023351) Copy
Web application that helps design, evaluate and clone guide sequences for the CRISPR/Cas9 system. This sgRNA design tool assists with guide selection in a variety of genomes and pre-calculated results for all human coding exons as a UCSC Genome Browser track.
Proper citation: CRISPOR (RRID:SCR_015935) Copy
https://cab.spbu.ru/software/spades/
Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SPAdes (RRID:SCR_000131) Copy
https://github.com/vgteam/vg#vg
Software toolkit to improve read mapping by representing genetic variation in reference.Provides succinct encoding of sequences of many genomes.
Proper citation: variation graph (RRID:SCR_024369) Copy
https://reich.hms.harvard.edu/software
Software application that finds skews in ancestry that are potentially associated with disease genes in recently mixed populations like African Americans. It can be downloaded for either UNIX or Linux.
Proper citation: Ancestrymap (RRID:SCR_004353) Copy
https://github.com/harry-thorpe/piggy
Pipeline for analyzing intergenic regions in bacteria. It is designed to be used in conjunction with Roary (https://github.com/sanger-pathogens/Roary).
Proper citation: Piggy (RRID:SCR_015941) Copy
https://github.com/Rinoahu/SwiftOrtho
Software tool for orthology analysis to identify orthologs, paralogs and co orthologs for genomes. Used to perform homology classification across genomes of different species in large genomic datasets.
Proper citation: SwiftOrtho (RRID:SCR_017122) Copy
https://github.com/im3sanger/dndscv
Software R package as suite of dN/dS methods to quantify selection in cancer and somatic evolution. Contains functions to quantify dN/dS ratios for missense, nonsense and essential splice mutations, at level of individual genes, groups of genes or at whole genome level. Used to detect cancer driver genes on datasets.
Proper citation: dndSCV (RRID:SCR_017093) Copy
https://github.com/theaidenlab/3d-dna.git
Software tool as 3D de novo assembly (3D DNA) pipeline. Used to help generate HI-C assembly.
Proper citation: 3D de novo assembly (RRID:SCR_017227) Copy
https://github.com/BDI-pathogens/phyloscanner
Software tool for analysing pathogen genetic diversity and relationships between and within hosts at once, in windows along genome. Inferring transmission from within and between host pathogen genetic diversity.
Proper citation: phyloscanner (RRID:SCR_017400) Copy
Software tool for analyzing repetitive DNA found in genome sequences. Software package for identification and classification of genomic repeats. Used for identifying patterns of local alignments induced by certain classes of repeats.
Proper citation: PILER (RRID:SCR_017333) Copy
https://bioconductor.org/packages/TCGAbiolinks/
Software R Bioconductor package for integrative analysis with TCGA data.TCGAbiolinks is able to access National Cancer Institute Genomic Data Commons thorough its GDC Application Programming Interface to search, download and prepare relevant data for analysis in R.
Proper citation: TCGAbiolinks (RRID:SCR_017683) Copy
https://github.com/santeripuranen/SpydrPick
Software command line tool for performing direct coupling analysis of aligned categorical datasets. Used for analysis at scale of pan genomes of many bacteria. Incorporates correction for population structure, which adjusts for phylogenetic signal in data without requiring explicit phylogenetic tree.
Proper citation: SpydrPick (RRID:SCR_018176) Copy
https://github.com/santeripuranen/SuperDCA
Software tool for global direct coupling analysis of input genome alignments. Implements variant of pseudolikelihood maximization direct coupling analysis, with emphasis on optimizations that enable its use on genome scale. May be used to discover co evolving pairs of loci.Used for genome wide epistasis analysis.
Proper citation: SuperDCA (RRID:SCR_018175) Copy
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