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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | data or information resource, database, portal, topical portal | The initial objective of Genoscope was to compare the genomic sequences of this fish to that of humans to help in the annotation of human genes and to estimate their number. This strategy is based on the common genetic heritage of the vertebrates: from one species of vertebrate to another, even for those as far apart as a fish and a mammal, the same genes are present for the most part. In the case of the compact genome of Tetraodon, this common complement of genes is contained in a genome eight times smaller than that of humans. Although the length of the exons is similar in these two species, the size of the introns and the intergenic sequences is greatly reduced in this fish. Furthermore, these regions, in contrast to the exons, have diverged completely since the separation of the lineages leading to humans and Tetraodon. The Exofish method, developed at Genoscope, exploits this contrast such that the conserved regions which can be identified by comparing genomic sequences of the two species, correspond only to coding regions. Using preliminary sequencing results of the genome of Tetraodon in the year 2000, Genoscope evaluated the number of human genes at about 30,000, whereas much higher estimations were current. The progress of the annotation of the human genome has since supported the Genoscope hypothesis, with values as low as 22,000 genes and a consensus of around 25,000 genes. The sequencing of the Tetraodon genome at a depth of about 8X, carried out as a collaboration between Genoscope and the Whitehead Institute Center for Genome Research (now the Broad Institute), was finished in 2002, with the production of an assembly covering 90 of the euchromatic region of the genome of the fish. This has permitted the application of Exofish at a larger scale in comparisons with the genome of humans, but also with those of the two other vertebrates sequenced at the time (Takifugu, a fish closely related to Tetraodon, and the mouse). The conserved regions detected in this way have been integrated into the annotation procedure, along with other resources (cDNA sequences from Tetraodon and ab initio predictions). Of the 28,000 genes annotated, some families were examined in detail: selenoproteins, and Type 1 cytokines and their receptors. The comparison of the proteome of Tetraodon with those of mammals has revealed some interesting differences, such as a major diversification of some hormone systems and of the collagen molecules in the fish. A search for transposable elements in the genomic sequences of Tetraodon has also revealed a high diversity (75 types), which contrasts with their scarcity; the small size of the Tetraodon genome is due to the low abundance of these elements, of which some appear to still be active. Another factor in the compactness of the Tetraodon genome, which has been confirmed by annotation, is the reduction in intron size, which approaches a lower limit of 50-60 bp, and which preferentially affects certain genes. The availability of the sequences from the genomes of humans and mice on one hand, and Takifugu and Tetraodon on the other, provide new opportunities for the study of vertebrate evolution. We have shown that the level of neutral evolution is higher in fish than in mammals. The protein sequences of fish also diverge more quickly than those of mammals. A key mechanism in evolution is gene duplication, which we have studied by taking advantage of the anchoring of the majority of the sequences from the assembly on the chromosomes. The result of this study speaks strongly in favor of a whole genome duplication event, very early in the line of ray-finned fish (Actinopterygians). An even stronger evidence came from synteny studies between the genomes of humans and Tetraodon. Using a high-resolution synteny map, we have reconstituted the genome of the vertebrate which predates this duplication - that is, the last common ancestor to all bony vertebrates (most of the vertebrates apart from cartilaginous fish and agnaths like lamprey). This ancestral karyotype contains 12 chromosomes, and the 21 Tetraodon chromosomes derive from it by the whole genome duplication and a surprisingly small number of interchromosomal rearrangements. On the contrary, exchanges between chromosomes have been much more frequent in the lineage that leads to humans. Sponsors: The project was supported by the Consortium National de Recherche en Genomique and the National Human Genome Research Institute. | duplication, element, euchromatic, evolution, exon, fish, gene, genetic, actinopterygians, aganth, ancestor, cartilaginous, cdna, chromosome, coding, collagen, cytokine, diversity, genome, genomic, heritage, hormone, human, interchromossomal, intergenic, intron, karyotype, lineage, mammal, molecule, mouse, nigroviridis, protein, proteome, pufferfish, receptor, region, selenoprotein, sequence, size, specie, synteny, system, takifugu, tetraodon, transposable, vertebrate | nif-0000-20997 | SCR_007079 | TGB | 2026-10-17 01:26:51 | 8 | ||||||||||
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Broad Institute Resource Report Resource Website 1000+ mentions |
Broad Institute (RRID:SCR_007073) | Broad | institution | Biomedical and genomic research center located in Cambridge, Massachusetts, United States. Nonprofit research organization under the name Broad Institute Inc., and is partners with Massachusetts Institute of Technology, Harvard University, and the five Harvard teaching hospitals. Dedicated to advance understanding of biology and treatment of human disease to improve human health. | biomedical, genomic, research, center, nonprofit, organization, human, biology, disease |
is affiliated with: Massachusetts Institute of Technology; Massachusetts; USA; is affiliated with: Harvard University; Cambridge; United States is affiliated with: Integrative Human Microbiome Project is affiliated with: MIT; Cambridge; Massachusetts; United States is related to: LINCS Information Framework is related to: HMS LINCS Database is related to: Cancer Cell Line Encyclopedia is related to: GO2MSIG is parent organization of: ARACHNE is parent organization of: MuTect is parent organization of: SiPhy is parent organization of: ContEst is parent organization of: Broad Minded is parent organization of: JBrowse is parent organization of: Birdseed is parent organization of: VAAL is parent organization of: SomaticCall is parent organization of: BIRDSUITE is parent organization of: GATK is parent organization of: SNAP - SNP Annotation and Proxy Search is parent organization of: SYZYGY is parent organization of: Genetic Maps of the Rat Genome is parent organization of: LINCS Connectivity Map is parent organization of: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes is parent organization of: Haploview is parent organization of: Magnaporthe comparative Database is parent organization of: GeneCruiser is parent organization of: Fungal Genome Initiative is parent organization of: Gene Set Enrichment Analysis is parent organization of: GenePattern is parent organization of: MAGENTA is parent organization of: Multiple Myeloma Genomics Portal is parent organization of: ExAc is parent organization of: Ricopili is parent organization of: UnifiedGenotyper is parent organization of: SomaticIndelDetector is parent organization of: RNA-SeQC is parent organization of: Oncotator is parent organization of: ABSOLUTE is parent organization of: PathSeq is parent organization of: V-Phaser 2 is parent organization of: Indelocator is parent organization of: Scripture is parent organization of: VICUNA is parent organization of: Tuberculosis Database is parent organization of: HaploReg is parent organization of: CellProfiler Image Analysis Software is parent organization of: National Institute of Mental Health (NIMH) Human Genetics Initiative is parent organization of: ChemBank is parent organization of: GeneCluster 2: An Advanced Toolset for Bioarray Analysis is parent organization of: Ultrasome is parent organization of: Diabetes Genetics Initiative is parent organization of: Dog Genome Project is parent organization of: Gene Relationships Across Implicated Loci is parent organization of: InVEx is parent organization of: Broad Genetic Analysis Platform is parent organization of: CellProfiler Analyst is parent organization of: ALLPATHS-LG is parent organization of: MutSig is parent organization of: SegSeq is parent organization of: Argo Genome Browser is parent organization of: Integrative Genomics Viewer is parent organization of: MEDEA is parent organization of: Pathline is parent organization of: ASPGD is parent organization of: DGAP is parent organization of: BARD is parent organization of: 1000 Genomes: A Deep Catalog of Human Genetic Variation is parent organization of: Trinity is parent organization of: Genome Aggregation Database is parent organization of: GenomeSpace is parent organization of: Picard is parent organization of: Connectivity Map 02 is parent organization of: CMap is parent organization of: IndelGenotyper is parent organization of: Discovar assembler is parent organization of: Molecular Signatures Database is parent organization of: GSEA is parent organization of: Eagle is parent organization of: Morpheus by Broad Institute is parent organization of: Cancer Dependency Map Portal is parent organization of: LIGER is parent organization of: Drop-seq tools is parent organization of: scATAC Pipeline is parent organization of: Guide Design Resources is parent organization of: Smart-seq2 Single Sample Pipeline is parent organization of: Smart-seq2 Single Nucleus Multi Sample Pipeline is parent organization of: Broad Terra cloud commons for pathogen surveillance is parent organization of: Single Cell Portal is parent organization of: CEMBA MethylC Seq Pipeline is parent organization of: Pegasus is parent organization of: Cumulus is parent organization of: Cirrocumulus is parent organization of: BICCN Anatomy and Morphology Project is parent organization of: Terra is parent organization of: JUMP Cell Painting Consortium is parent organization of: Spectrum Mill is parent organization of: Polysolver is parent organization of: Brain Cell Data Viewer is parent organization of: Eagle is parent organization of: Broad Institute Imaging Platform Core Facility is parent organization of: ATAC Pipeline is parent organization of: ichorCNA is parent organization of: CRISPick is parent organization of: FireBrowse is parent organization of: Cellarium is parent organization of: multiVIB is parent organization of: SlideTags.wdl is parent organization of: Slide-seq Pipeline is parent organization of: BuildIndices is parent organization of: Broad Institute Genomics Platform is parent organization of: Smart-seq2 Multi-Sample Pipeline has organization facet: GATK HaplotypeCaller has organization facet: GATK VariantFiltration |
Eli and Edythe Broad ; individual donors |
nif-0000-31438, grid.66859.34, Wikidata: Q4971893 | https://ror.org/05a0ya142 | SCR_007073 | Broad Institute of MIT and Harvard, Broad Institute Inc. | 2026-10-17 01:26:46 | 1931 | ||||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data or information resource, data repository, database, service resource, storage service resource | Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions. | function, gene, gene name, annotation, aspergillus, aspergillus nidulans, chromosome, community, dna, genome, genomic, localization, orthology, phenotype, protein, protein-coding genes, s. cerevisiae, sequence, allele, data analysis service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Candida Genome Database is related to: AmiGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Broad Institute |
NIAID R01 AI077599 | PMID:19773420 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12244, biotools:aspgd | http://www.aspergillusgenome.org/, https://bio.tools/aspgd | SCR_002047 | Aspergillus Genome Database, ASPGD REF, ASPGD LOCUS | 2026-10-17 01:25:05 | 218 | ||||
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Wellcome Trust Case Control Consortium Resource Report Resource Website 100+ mentions |
Wellcome Trust Case Control Consortium (RRID:SCR_001973) | WTCCC | data or information resource | Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2. | gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, disease |
is related to: Psychiatric Genomics Consortium has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Bipolar disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunction, Diabetes | Wellcome Trust ; Bill and Melinda Gates Foundation ; Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:17554300 | Access to summary data and individual-level genotype data is available by application to the Wellcome Trust Case Control Consortium Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. | nif-0000-10551 | SCR_001973 | Wellcome Trust Case-Control Consortium (WTCCC) | 2026-10-17 01:25:04 | 221 | ||||
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University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics Resource Report Resource Website 1+ mentions |
University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics (RRID:SCR_001921) | data computation service, data or information resource, database, organization portal, portal | The UCLA-DOE Institute for Genomics and Proteomics carries out research in bioenergy, structural biology, genomics and proteomics, consistent with the research mission of the United States Department of Energy. Major interests of the 12 Principal Investigators and 9 Associate Members include systems approaches to organisms, structural biology, bioinformatics, and bioenergetic systems. The Institute sponsors 5 Core Technology Centers, for X-ray and NMR structural determination, bioinformatics and computation, protein expression and purification, and biochemical instrumentation. Services offered by this Institute: - Databases: * DIP (The Database of Interacting Proteins): The DIPTM database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. * ProLinks Database of Functional Linkages: The Prolinks database is a collection of inference methods used to predict functional linkages between proteins. These methods include the Phylogenetic Profile method which uses the presence and absence of proteins across multiple genomes to detect functional linkages; the Gene Cluster method, which uses genome proximity to predict functional linkage; Rosetta Stone, which uses a gene fusion event in a second organism to infer functional relatedness; and the Gene Neighbor method, which uses both gene proximity and phylogenetic distribution to infer linkage. - Data-to-Structure Servers: * SAVEs Structure Verification Server * Merohedral Twinning Test Server * SER Surface Entropy Reduction Server * VERIFY3D Structure Verification Server * ERRAT Structure Verification Server - Structure-to-Function Servers: * ProKnow Protein Functionator * Hot Patch Functional Site Locator | expression, functional linkage, gene, biochemical instrumentation, bioenergetic system, bioenergy, bioinformatic, computation, genome, genomic, nmr, organism, protein, protein-protein interaction, proteomic, purification, structural biology, x-ray | nif-0000-10491 | SCR_001921 | UCLA-DOE | 2026-10-17 01:25:03 | 6 | ||||||||||
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SAMTOOLS Resource Report Resource Website 10000+ mentions |
SAMTOOLS (RRID:SCR_002105) | SAMtools | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data. | Samtools, BCFtools, HTSlib, next generation sequencing, nucleotide alignments, sequence variant, genomic, c, perl, read, alignment, nucleotide, sequence, data, process, sam, bam, cram, vcf, bcf, bio.tools |
is used by: deFuse is used by: Short Read Sequence Typing for Bacterial Pathogens is used by: ROSE is used by: Fcirc is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: SNVer is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: Platypus is related to: shovill is related to: pysam has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: SAMtools/BCFtools is required by: RelocaTE is required by: Wessim is required by: SL-quant is required by: smMIPfil |
NHGRI U54 HG002750; Wellcome Trust |
PMID:19505943 PMID:21903627 DOI:10.1093/bioinformatics/btp352 |
Free, Available for download, Freely available | SCR_018682, biotools:samtools, OMICS_01074, nlx_154607, OMICS_00090 | https://github.com/samtools/samtools, https://github.com/samtools/htslib, https://bio.tools/samtools, https://sources.debian.org/src/samtools/ | http://samtools.sourceforge.net/ | SCR_002105 | samtools, Samtools, Sequence Alignment Map TOOLS, SAMtools, SAM tools | 2026-10-17 01:25:34 | 33299 | |||
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SNPSTATS Resource Report Resource Website 500+ mentions |
SNPSTATS (RRID:SCR_002142) | SNPStats | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | A web-based application designed from a genetic epidemiology point of view to analyze association studies using single nucleotide polymorphisms (SNPs). For each selected SNP, you will receive: * Allele and genotype frequencies * Test for Hardy-Weinberg equilibrium * Analysis of association with a response variable based on linear or logistic regression * Multiple inheritance models: co-dominant, dominant, recessive, over-dominant and additive * Analysis of interactions (gene-gene or gene-environment) If multiple SNPs are selected: * Linkage disequilibrium statistics * Haplotype frequency estimation * Analysis of association of haplotypes with the response * Analysis of interactions (haplotypes-covariate) | gene, genetic, genomic, single nucleotide polymorphism, association study, genetic, epidemiology, allele, frequency, genotype, allele frequency, genotype frequency, hardy-weinberg equilibrium, linkage disequilibrium, haplotype frequency, haplotype, interaction, haplotypes-covariate, association, linear regression, logistic regression, inheritance model, co-dominant, dominant, recessive, over-dominant, additive, gene-gene, gene-environment |
is listed by: Genetic Analysis Software has parent organization: Autonomous University of Barcelona; Barcelona; Spain |
PMID:16720584 | Free, Available for download, Freely available | nlx_154650 | http://bioinfo.iconcologia.net/snpstats/ | SCR_002142 | SNP STATisticS | 2026-10-17 01:25:34 | 668 | |||||
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High Throughput Genomic Sequences Division Resource Report Resource Website 1+ mentions |
High Throughput Genomic Sequences Division (RRID:SCR_002150) | HTG Sequences, HTG Division | data or information resource, data repository, database, service resource, storage service resource | Database of high-throughput genome sequences from large-scale genome sequencing centers, including unfinished and finished sequences. It was created to accommodate a growing need to make unfinished genomic sequence data rapidly available to the scientific community in a coordinated effort among the International Nucleotide Sequence databases, DDBJ, EMBL, and GenBank. Sequences are prepared for submission by using NCBI's software tools Sequin or tbl2asn. Each center has an FTP directory into which new or updated sequence files are placed. Sequence data in this division are available for BLAST homology searches against either the htgs database or the month database, which includes all new submissions for the prior month. Unfinished HTG sequences containing contigs greater than 2 kb are assigned an accession number and deposited in the HTG division. A typical HTG record might consist of all the first-pass sequence data generated from a single cosmid, BAC, YAC, or P1 clone, which together make up more than 2 kb and contain one or more gaps. A single accession number is assigned to this collection of sequences, and each record includes a clear indication of the status (phase 1 or 2) plus a prominent warning that the sequence data are unfinished and may contain errors. The accession number does not change as sequence records are updated; only the most recent version of a HTG record remains in GenBank. | gap, gene, accession, arabidopsis, bac, biological, c. elegans, clone, contig, cosmid, dna, genomic, high-throughput, homology, homo sapiens, invertebrate, nematode, nucleotide, p1, plant, primate, sequence, structure, taxonomy, yac, genome, sequence, nucleotide sequence, dna sequence, nucleotide, dna, gold standard |
is related to: GenBank has parent organization: NCBI |
PMID:9331365 | Free, Freely available | nif-0000-20943 | SCR_002150 | HTG GenBank Division, HTG database, NCBI High-Throughput Genomic Sequences, HTG Sequence, High-Throughput Genomic Sequences | 2026-10-17 01:25:06 | 5 | ||||||
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Arvados Resource Report Resource Website 1+ mentions |
Arvados (RRID:SCR_002223) | arvados | data repository, service resource, storage service resource | Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management. | mapreduce/hadoop, genomic, biomedical, data sharing, compute, data management, cloud | is listed by: Debian | Free, Freely available | OMICS_01835 | https://sources.debian.org/src/arvados/ | SCR_002223 | 2026-10-17 01:25:19 | 3 | |||||||
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ARK-Genomics: Centre for Functional Genomics Resource Report Resource Website 10+ mentions |
ARK-Genomics: Centre for Functional Genomics (RRID:SCR_002214) | ARK Genomics | access service resource, core facility, data or information resource, database, organization portal, portal, service resource | Portal for studies of genome structure and genetic variation, gene expression and gene function. Provides services including DNA sequencing of model and non-model genomes using both Next Generation and Sanger sequencing , Gene expression analysis using both microarrays and Next Generation Sequencing, High throughput genotyping of SNP and copy number variants, Data collection and analysis supported in-house high performance computing facilities and expertise, Extensive EST clone collections for a number of animal species, all of commercially available microarray tools from Affymetrix, Illumina, Agilent and Nimblegen, Parentage testing using microsatellites and smaller SNP panels. ARK-Genomics has developed network of researchers whom they support through each stage of their genomics research, from grant application, experimental design and technology selection, performing wet laboratory protocols, through to analysis of data often in conjunction with commercial partners. | gene expression, farm, function, gene, genetic, animal, dna, genome, genomic, genotype, knowledge base, model, structure, variation, job, comparative genome hybridization, parentage testing, microsatellite |
is listed by: ScienceExchange is related to: Roslin Institute Labs and Facilities has parent organization: Roslin Institute works with: University of Edinburgh GenePool Next Generation Sequencing and Bioinformatics |
BBSRC | Free, Freely available | nif-0000-20966, SciEx_157 | https://genomics.ed.ac.uk/ | SCR_002214 | ARK Genomics, Roslin Institute ARK-Genomics | 2026-10-17 01:25:38 | 13 | |||||
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Kyoto Encyclopedia of Genes and Genomes Expression Database Resource Report Resource Website 1000+ mentions |
Kyoto Encyclopedia of Genes and Genomes Expression Database (RRID:SCR_001120) | KEGG Expression Database | data or information resource, data repository, database, service resource, storage service resource | Database for mapping gene expression profiles to pathways and genomes. Repository of microarray gene expression profile data for Synechocystis PCC6803 (syn), Bacillus subtilis (bsu), Escherichia coli W3110 (ecj), Anabaena PCC7120 (ana), and other species contributed by the Japanese research community. | encyclopedia, endogenous, environment, enzyme, escherichia coli, exogenous, expression, family, functional, gene, genetic, anabaena, bacillus subtilis, biological system, biology, building block, cell, cellular, chemical, community, complex, genome, genomic, hierarchy, interaction, japanese, mapping, metabolic, metabolic pathway databases, microarray, molecular, molecular wiring, nomenclature, order, organism, ortholog, pathway, process, protein, reaction, research, sequence, specie, substance, synechocystis, FASEB list |
is listed by: LabWorm is affiliated with: KEGG has parent organization: Kyoto University; Kyoto; Japan |
PMID:9847135 PMID:10592173 |
Free, Available for download, Freely available | r3d100011570, nif-0000-21234 | https://doi.org/10.17616/R3792T | SCR_001120 | Kyoto Encyclopedia of Genes and Genomes Expression Database | 2026-10-17 01:24:48 | 1279 | |||||
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Happy Resource Report Resource Website 10+ mentions |
Happy (RRID:SCR_001395) | HAPPY | data analysis software, data processing software, software application, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package for Multipoint QTL Mapping in Genetically Heterogeneous Animals (entry from Genetic Analysis Software) The method is implemented in a C-program and there is now an R version of HAPPY. You can run HAPPY remotely from their web server using your own data (or try it out on the data provided for download). | qtl, quantitative trait locus, r, c, gene, genetic, genomic, ansi c, unix, irix, sunos, linux, animal model, trait, map, genotype, phenotype, haplotype, linear regression, data set, qtl mapping |
is listed by: Genetic Analysis Software is listed by: Debian has parent organization: Wellcome Trust Centre for Human Genetics |
Wellcome Trust | PMID:11050180 DOI:10.1073/pnas.230304397 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152594 | http://www.well.ox.ac.uk/~rmott/happy.html | https://sources.debian.org/src/r-other-mott-happy.hbrem/ | SCR_001395 | reconstructing HAPlotYpes | 2026-10-17 01:24:54 | 46 | |||
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iBIOFind Resource Report Resource Website |
iBIOFind (RRID:SCR_001587) | iBIOFind | data or information resource, database, service resource, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 17, 2016. C#.NET 4.0 WPF / OWL / REST / JSON / SPARQL multi-threaded, parallel desktop application enables the construction of biomedical knowledge through PubMed, ScienceDirect, EndNote and NIH Grant repositories for tracking the work of medical researchers for ranking and recommendations. Users can crawl web sites, build latent semantic indices to generate literature searches for both Clinical Translation Science Award and non-CTSA institutions, examine publications, build Bayesian networks for neural correlates, gene to gene interactions, protein to protein interactions and as well drug treatment hypotheses. Furthermore, one can easily access potential researcher information, monitor and evolve their networks and search for possible collaborators and software tools for creating biomedical informatics products. The application is designed to work with the ModelMaker, R, Neural Maestro, Lucene, EndNote and MindGenius applications to improve the quality and quantity of medical research. iBIOFind interfaces with both eNeoTutor and ModelMaker 2013 Web Services Implementation in .NET for eNeoTutor to aid instructors to build neuroscience courses as well as rare diseases. Added: Rare Disease Explorer: The Visualization of Rare Disease, Gene and Protein Networks application module. Cinematics for the Image Finder from Yale. The ability to automatically generate and update websites for rare diseases. Cytoscape integration for the construction and visualization of pathways for Molecular targets of Model Organisms. Productivity metrics for medical researchers in rare diseases. iBIOFind 2013 database now includes over 150 medical schools in the US along with Clinical Translational Science Award Institutions for the generation of biomedical knowledge, biomedical informatics and Researcher Profiles. | workflow, model, prediction, research trend, rare disease, resource discovery, biomedicine, genomic, neural network, visualization, reporting, search engine, genetic, neural, clinical translation science award, biomedical resource, funding, gene, protein, neuron, collaborator, publication, trend, grant, funding opportunity, report |
is related to: ModelMaker is related to: Neural Maestro is related to: eNeoTutor is related to: Cytoscape is related to: Biomedical Resource Ontology is related to: PubMed has parent organization: The Cromwell Workshop |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153829 | SCR_001587 | 2026-10-17 01:25:03 | 0 | ||||||||
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PLINK Resource Report Resource Website 10000+ mentions Issue |
PLINK (RRID:SCR_001757) | data analysis software, data processing software, software application, software resource, software toolkit | Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software. | gene, genetic, genomic, genotype, phenotype, copy number variant, whole-genome association, population, linkage analysis, whole-genome association study, data management, summary statistics, population stratification, association analysis, identity-by-descent estimation |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: SoftCite is related to: Whap is related to: PLINK/SEQ is related to: Haploview is related to: MendelIHT.jl |
PMID:17701901 DOI:10.1086/519795 |
Free, Available for download, Freely Available | nlx_154200, OMICS_00206, SCR_021271 | https://zzz.bwh.harvard.edu/plink/, https://www.cog-genomics.org/plink/1.9/general_usage#cite, https://sources.debian.org/src/plink/ | http://pngu.mgh.harvard.edu/~purcell/plink/ | SCR_001757 | PLINK 1.9, PLINK/SEQ, plink - Whole genome association analysis toolset | 2026-10-17 01:25:21 | 16581 | |||||
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GMATo Resource Report Resource Website 1+ mentions |
GMATo (RRID:SCR_000165) | data analysis software, data processing software, sequence analysis software, software application, software resource | A software tool used for simple sequence repeats (SSR) or microsatellite characterization. It also facilitates SSR marker design on a genomic scale, microsatellite mining at any length, and comprehensive statistical analysis for DNA sequences in any genome at any size. Analysis parameters are customizable. | simple sequence repeat, ssr, microsatellite, genomic, marker design, sequence analysis software |
is listed by: OMICtools has parent organization: SourceForge |
PMID:23861572 | Free, Available for download, Freely available | OMICS_00106 | SCR_000165 | Genome-wide Microsatellite Analyzing Tool, Genome Microsatellite Analyzing Tool, Genome-wide Microsatellite Analyzing Tool (GMATo) | 2026-10-17 01:24:35 | 1 | |||||||
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GPViz Resource Report Resource Website |
GPViz (RRID:SCR_000346) | GPViz | software resource | A versatile Java-based software used for dynamic gene-centered visualization of genomic regions and/or variants. | gene, visualization, genomic, variant, bioinformatics, java | is listed by: OMICtools | Free, Available for download, Freely available | OMICS_00915 | SCR_000346 | 2026-10-17 01:24:37 | 0 | ||||||||
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Genboree Discovery System Resource Report Resource Website 10+ mentions |
Genboree Discovery System (RRID:SCR_000747) | Genboree | data or information resource, data processing software, database, software application, software resource | A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small ( | genome, genomic, next generation sequencing |
is related to: Spark has parent organization: Baylor University; Texas; USA |
nif-0000-08906 | SCR_000747 | Genboree Discovery System | 2026-10-17 01:24:46 | 11 | ||||||||
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Baylor College of Medicine - Shaw Laboratory Resource Report Resource Website 1+ mentions |
Baylor College of Medicine - Shaw Laboratory (RRID:SCR_000604) | BCM - Shaw Laboratory, BCM Shaw Laboratory, BCM Shaw Lab | data or information resource, laboratory portal, organization portal, portal | The mission of the Baylor College of Medicine - Shaw Laboratory is to apply methods of statistics and bioinformatics to the analysis of large scale genomic data. Our vision is data integration to reveal the underlying connections between genes and processes in order to cure disease and improve healthcare. | statistics, bioinformatics, analysis, genomic, gene, biological process | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149156 | SCR_000604 | 2026-10-17 01:24:42 | 1 | ||||||||
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Centrillion Biosciences Inc. Resource Report Resource Website 1+ mentions |
Centrillion Biosciences Inc. (RRID:SCR_012358) | Centrillion | access service resource, core facility, service resource | Centrillion offers a portfolio of genomic services to academic, clinical and industrial researchers. Core provides experimental design consultation, data production services, and bioinformatics analyses for a wide variety of genomic applications. Core offers access to next-gen sequencing, genotyping and bioinformatics analysis. | genomic, consultation, consulting, data production, bioinformatics analyses, sequencing | is listed by: ScienceExchange | Available to external user | SciEx_12068 | http://www.centrilliontech.com/ | SCR_012358 | Centrillion Biosciences | 2026-10-17 01:35:40 | 6 | ||||||
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Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility (IGC) Resource Report Resource Website 10+ mentions |
Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility (IGC) (RRID:SCR_014842) | SALK IGC, IGC | access service resource, core facility, service resource | Core facility established to assist the Salk community with integrating genomics data into their research. The primary focus of the core is to provide analysis support for next-generation sequencing applications. | core facility, gene, genomic, genomic data, analysis, consultation, applications | Helmsley Trust ; NCI CA014195; Salk Institute Razavi Newman Integrative Genomics and Bioinformatics Core Facility |
Open | SCR_014842 | , Integrative Genomics, Salk, Core Facility, Institute, Razavi Newman, UCSD, Bioinformatics | 2026-10-17 01:37:18 | 38 |
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