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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | 2026-09-12 12:55:27 | 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 | 2026-09-12 12:55:30 | 16581 | |||||
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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 | 2026-09-12 12:55:36 | 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) | 2026-09-12 12:55:35 | 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 | 2026-09-12 12:55:34 | 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 | 2026-09-12 12:55:36 | 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 | 2026-09-12 12:55:37 | 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 | 2026-09-12 12:55:37 | 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 | 2026-09-12 12:55:38 | 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 | 2026-09-12 12:55:38 | 13 | |||||
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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) | 2026-09-12 12:55:04 | 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 | 2026-09-12 12:55:07 | 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 | 2026-09-12 12:55:14 | 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 | 2026-09-12 12:55:12 | 1 | ||||||||
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Ontology for Genetic Interval Resource Report Resource Website |
Ontology for Genetic Interval (RRID:SCR_003423) | OGI | controlled vocabulary, data or information resource, ontology | An ontology that formalized the genomic element by defining an upper class genetic interval using BFO as its framework. The definition of genetic interval is the spatial continuous physical entity which contains ordered genomic sets (DNA, RNA, Allele, Marker,etc.) between and including two points (Nucleic_Acid_Base_Residue) on a chromosome or RNA molecule which must have a liner primary sequence structure. | owl, genomic, genetic, dna, rna, allele, marker, chromosome, rna molecule |
is listed by: BioPortal is listed by: OBO is listed by: Google Code is related to: Information Artifact Ontology |
Free, Available for download, Freely available | nlx_157517 | https://bioportal.bioontology.org/ontologies/OGI | SCR_003423 | 2026-09-12 01:00:09 | 0 | |||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-09-12 01:00:11 | 69 | |||||
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UC Davis Genome Center Labs and Facilities Resource Report Resource Website 1+ mentions |
UC Davis Genome Center Labs and Facilities (RRID:SCR_012480) | UCD Genome Center Labs & Facilities, UCD Genome Center Labs and Facilities | access service resource, core facility, data or information resource, organization portal, portal, service resource, training service resource | Genome Center uses technologies to understand how heritable genetic information of diverse organisms functions in health and disease. Provides research facilities, service cores, and staff for genomics research and training. Core facilities for Bioinformatics,DNA Technologies and Expression Analysis, Metabolomics, Proteomics,TILLING Core,Yeast One Hybrid Services Core. | Heritable, genetic, information, diverse, organism, function, health, disease, core, facility, service, genomic, training, |
is listed by: ScienceExchange is related to: University of California at Davis Genome Center Proteomics Core Facility has parent organization: University of California at Davis; California; USA |
SciEx_227, SCR_012659, SciEx_756 | https://genomecenter.ucdavis.edu/ | http://www.scienceexchange.com/facilities/uc-davis-genome-center-uc-davis | SCR_012480 | University of California Davis Genome Center Labs and Facilities, UC Davis Genome Center Labs & Facilities, University of California Davis Genome Center Labs & Facilities | 2026-09-12 01:00:15 | 3 | ||||||
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SNPFILE Resource Report Resource Website 1+ mentions |
SNPFILE (RRID:SCR_009402) | software application, software library, software resource, software toolkit | Software library and API for manipulating large SNP datasets with associated meta-data, such as marker names, marker locations, individuals'' phenotypes, etc. in an I/O efficient binary file format. In its core, SNPFile assumes very little about the metadata associated with markers and individuals, but leaves this up to application program protocols. (entry from Genetic Analysis Software) | gene, genetic, genomic, c++, linux, unix | is listed by: Genetic Analysis Software | nlx_154641 | SCR_009402 | 2026-09-12 01:00:14 | 1 | ||||||||||
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PLINK/SEQ Resource Report Resource Website 50+ mentions |
PLINK/SEQ (RRID:SCR_013193) | software application, software library, software resource, software toolkit | An open-source C/C++ library for working with human genetic variation data. The specific focus is to provide a platform for analytic tool development for variation data from large-scale resequencing projects, particularly whole-exome and whole-genome studies. However, the library could in principle be applied to other types of genetic studies, including whole-genome association studies of common SNPs. (entry from Genetic Analysis Software) | gene, genetic, genomic, c/c++, r, macos, linux, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian is related to: PLINK has parent organization: Harvard University; Cambridge; United States |
Open unspecified license | nlx_154213, biotools:plink-seq | https://bio.tools/plink-seq | SCR_013193 | 2026-09-12 01:00:16 | 77 | ||||||||
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tenx Resource Report Resource Website 10+ mentions |
tenx (RRID:SCR_016957) | analysis service resource, data analysis service, production service resource, service resource, software resource, software toolkit | Pipeline for the analysis of 10x single cell RNA sequencing data. Collection of python3 pipelines and Rscripts to analyze data generated with the 10x Genomics platform. The pipelines are based on 10x's Cell Ranger pipeline for mapping and quantitation and the R Seurat package for downstream analysis. | analysis, 10x, single, cell, RNA, sequencing, data, genomic, platform, mapping, quantitation | Free, Available for download, Freely available | SCR_016957 | 2026-09-12 01:00:19 | 13 |
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