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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
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Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | topical portal, data or information resource, database, 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 | 2026-08-03 09:33:18 | 8 | ||||||||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | image collection, data or information resource, database | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-08-03 09:33:12 | 1 | |||||||
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CD-HIT Resource Report Resource Website 1000+ mentions |
CD-HIT (RRID:SCR_007105) | CD-HIT | software resource, source code, software application, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cluster, protein, sequence, classification, domain, analysis, nucleotide sequence, dna, protein sequence, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools has parent organization: University of California at San Diego; California; USA has parent organization: Google Code is parent organization of: CD-HIT-OTU |
NCRR 1R01RR025030 | PMID:20053844 PMID:16731699 DOI:10.1093/bioinformatics/btl158 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_05157, biotools:cd-hit, nif-0000-30240 | http://cd-hit.org, https://code.google.com/p/cdhit/, https://bio.tools/cd-hit, https://sources.debian.org/src/cd-hit/ | http://bioinformatics.ljcrf.edu/cd-hi/ |
SCR_007105 | CD-HIT Program | 2026-08-03 09:33:16 | 3203 | |||
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HCV Immunology Database Resource Report Resource Website 1+ mentions |
HCV Immunology Database (RRID:SCR_007086) | HCV Immunology Database | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | The HCV Immunology Database contains a curated inventory of immunological epitopes in HCV and their interaction with the immune system, with associated retrieval and analysis tools. The funding for the HCV database project has stopped, and this website and the HCV immunology database are no longer maintained. The site will stay up, but problems will not be fixed. The database was last updated in September 2007. The HIV immunology website contains the same tools, and may be usable for non-HCV-specific analyses. For new epitope information, users of this database can try the Immuno Epitope Database (http://www.immuneepitope.org). | epitope, immune system, hepatitis c virus, hepatitis c, immunology, t cell, protein, alignment, antibody, binding site | has parent organization: HCV Databases | Hepatitis C | NIAID | PMID:16309340 | The data and some of the HCV database tools are available for download for non-commercial use. | nlx_151412 | SCR_007086 | Los Alamos Hepatitis C Immunology Database, Hepatitis C Virus Immunology Database, Hepatitis C Immunology Database | 2026-08-03 09:33:21 | 5 | ||||
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Biological General Repository for Interaction Datasets (BioGRID) Resource Report Resource Website 1000+ mentions |
Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) | BioGRID | data or information resource, database | Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. | budding yeast, fission yeast, protein, gene, protein interaction, genetic interaction, model organism, interaction, dataset, gene annotation, phenotype, orthologous interaction, yeast, cellular interaction network, physical interaction, protein-peptide, protein-rna, protein-protein interaction, genetics, publication, raw protein, genetic interaction, web service, pathway, network, biology, gene mapping, statistics, bio.tools, FASEB list |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: DataCite is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: Pathway Commons is related to: Cytoscape is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: Integrated Molecular Interaction Database is related to: PSICQUIC Registry is related to: PSI-MI is related to: NIH Data Sharing Repositories is related to: Agile Protein Interactomes DataServer is related to: Integrated Manually Extracted Annotation has parent organization: Princeton University; New Jersey; USA has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: University of Montreal; Quebec; Canada works with: IMEx - The International Molecular Exchange Consortium |
NCRR R01 RR024031; NHGRI HG02223; Canadian Institutes of Health Research ; BBSRC ; NIH Office of the Director R24 OD011194 |
PMID:23203989 PMID:21071413 PMID:16381927 PMID:12620108 |
Free, Freely available | nif-0000-00432, r3d100010350, OMICS_01901, biotools:the_grid | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources, https://bio.tools/the_grid, https://doi.org/10.17616/R34C7G | SCR_007393 | , BioGRID, Biological General Repository for Interaction Datasets | 2026-08-03 09:33:22 | 2554 | ||||
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Electronic Cell Project Resource Report Resource Website 10+ mentions |
Electronic Cell Project (RRID:SCR_007381) | simulation software, modeling software, software resource, software application | Software platform, general technologies and theoretical supports for computational biology with the grand aim to make precise whole cell simulation at the molecular level possible.Technologies include formalisms and techniques, including technologies to predict, obtain or estimate parameters such as reaction rates and concentrations of molecules in the cell. The E-Cell System is a software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale system like the cell. The E-Cell Project is open to anyone who shares the view with u that development of cell simulation technology, and, even if such ultimate goal might not be within ten years of reach yet, solving various conceptual, computational and experimental problems that will continue to arise in the course of pursuing it, may have a multitude of eminent scientific, medical and engineering impacts on our society. | gene, protein, ontology, binary executable; software development tool, cell | is listed by: Debian | nif-0000-00378 | https://sources.debian.org/src/ecell/ | SCR_007381 | E-Cell | 2026-08-03 09:33:21 | 15 | ||||||||
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HPID - Human Protein Interaction database Resource Report Resource Website 1+ mentions |
HPID - Human Protein Interaction database (RRID:SCR_007724) | HPID | data repository, data or information resource, database, storage service resource, service resource | Database that provides human protein interaction information and integrated interaction and also finds proteins from databases that can potentially react with proteins submitted by users. The human protein interaction information was pre-computed by a statistical method from existing structural and experimental data, while the integrated human protein interactions are derived from BIND, DIP and HPRD. A score composed of three parts is assigned to the predicted interaction data, and those interactions with high scores were found reliable. HPID allows the user to use the protein IDs in EMBL, Ensembl, MIM, RefSeq, HPRD and NCBI to search protein interactions of interest. A set of web-based software tools has also been developed so that users can visualize and analyze protein interaction networks. | human protein, protein, interaction, protein superfamily, yeast, visualize, analyze, protein interaction network | has parent organization: Inha University; Incheon; South Korea | Ministry of Information and Communication of Korea IMT2000-C3-4 | PMID:15117749 | nif-0000-02984 | http://www.hpid.org | SCR_007724 | 2026-08-03 09:33:29 | 2 | ||||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data acquisition software, software application, database, data processing software, data analysis software, data or information resource, software resource, data visualization software | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-08-03 09:33:51 | 1 | ||||||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | topical portal, data or information resource, portal | In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers academic and non-profit organizations free access to reduced functionality versions of their products. TRANSFAC Professional provides gene regulation analysis solutions, offering the most comprehensive collection of eukaryotic gene regulation data. The professional paid subscription gives customers access to up-to-date data and tools not available in the free version. The public databases currently available for academic and non-profit organizations are: * TRANSFAC: contains data on transcription factors, their experimentally-proven binding sites, and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. * TRANSPATH: provides data about molecules participating in signal transduction pathways and the reactions they are involved in, resulting in a complex network of interconnected signaling components.TRANSPATH focuses on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. * PathoDB: is a database on pathologically relevant mutated forms of transcription factors and their binding sites. It comprises numerous cases of defective transcription factors or mutated transcription factor binding sites, which are known to cause pathological defects. * S/MARt DB: presents data on scaffold or matrix attached regions (S/MARs) of eukaryotic genomes, as well as about the proteins that bind to them. S/MARs organize the chromatin in the form of functionally independent loop domains gained increasing support. Scaffold or Matrix Attached Regions (S/MARs) are genomic DNA sequences through which the chromatin is tightly attached to the proteinaceous scaffold of the nucleus. * TRANSCompel: is a database on composite regulatory elements affecting gene transcription in eukaryotes. Composite regulatory elements consist of two closely situated binding sites for distinct transcription factors, and provide cross-coupling of different signaling pathways. * PathoSign Public: is a database which collects information about defective cell signaling molecules causing human diseases. While constituting a useful data repository in itself, PathoSign is also aimed at being a foundational part of a platform for modeling human disease processes. | element, eukaryote, eukaryotic, expression, functionally, gene, genome, alignment, bind, binding site, cell, chromatin, collaborative, component, coupling, disease, dna, domain, human, matrix, molecular weight, molecule, mononucleotide, network, nucleotide, nucleus, pathological, protein, region, regulated, regulatory, scientific research, sequence, signaling, signal pathway, transcription factor, molecular neuroanatomy resource |
lists: TRANSFAC has parent organization: BIOBASE Corporation |
BIOBASE | nif-0000-10230 | SCR_008033 | gene-regulation.com: Public Databases for Academic and Non-profit Organizations | 2026-08-03 09:33:38 | 130 | |||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | portal, software application, database, data processing software, short course material, narrative resource, topical portal, data analysis software, data or information resource, software resource, training material | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-08-03 09:33:38 | 868 | |||||||
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INFEVERS Resource Report Resource Website 10+ mentions |
INFEVERS (RRID:SCR_007738) | Infevers | data repository, data or information resource, storage service resource, service resource, data set | Registry for Familial Mediterranean Fever (FMF) and hereditary inflammatory disorders mutations. As of 2014, it includes twenty genes including: MEFV, MVK, TNFRSF1A, NLRP3, NOD2, PSTPIP1, LPIN2 and NLRP7, and contains over 1338 sequence variants. Confidential data, simple and complex alleles are accepted. For each gene, a menu offers: 1) a tabular list of the variants that can be sorted by several parameters; 2) a gene graph providing a schematic representation of the variants along the gene; 3) statistical analysis of the data according to the phenotype, alteration type, and location of the mutation in the gene; 4) the cDNA and gDNA sequences of each gene, showing the nucleotide changes along the sequence, with a color-based code highlighting the gene domains, the first ATG, and the termination codon; and 5) a download menu making all tables and figures available for the users, which, except for the gene graphs, are all automatically generated and updated upon submission of the variants. The entire database was curated to comply with the HUGO Gene Nomenclature Committee (HGNC) and HGVS nomenclature guidelines, and wherever necessary, an informative note was provided. | sequence variant, mutation, allele, genetics, dna, rna, protein, disease, heredity, inflammation, gene, function, phenotype, complex allele, simple allele, exon, intron, cdna sequence, genomic sequence, gdna, FASEB list |
is listed by: re3data.org is related to: Human Genome Variation Society is related to: HGNC |
Familial Mediterranean Fever, Auto-inflammatory Disorder, Hereditary Auto-inflammatory Disorder | European Union | PMID:18409191 PMID:15300846 PMID:12520003 |
Acknowledgement required, Free, Public | nif-0000-03022, r3d100010548 | http://fmf.igh.cnrs.fr/infevers, https://doi.org/10.17616/R3B61B | SCR_007738 | Internet Fevers | 2026-08-03 09:33:40 | 37 | |||
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MetaCore Resource Report Resource Website 1000+ mentions |
MetaCore (RRID:SCR_008125) | software resource, data processing software, software application, data analysis software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. An integrated software suite for functional analysis of experimental data. The scope of data types includes microarray and SAGE gene expression, SNPs and CGH arrays, proteomics, metabolomics, pathway analysis, Y2H and other custom interactions. MetaCore is based on a proprietary manually curated database of human protein-protein, protein-DNA and protein compound interactions, metabolic and signaling pathways and the effects of bioactive molecules in gene expression. | expression, gene, dna, interaction, metabolomics, microarray, pathway, protein, proteomic, software | is listed by: Metabolomics Workbench | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-20874 | http://www.genego.com/metacore.php | SCR_008125 | 2026-08-03 09:33:53 | 1182 | ||||||||
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RIKEN Omics Science Center Resource Report Resource Website |
RIKEN Omics Science Center (RRID:SCR_008241) | portal, disease-related portal, topical portal, research forum portal, data or information resource | Omics Science Center is aiming to develop a comprehensive system called Life Science Accelerator(LSA) for the advancement of omics research. The LSA is a comprehensive system consists of biological resources, human resources, technologies, know-how, and essential administrative ability. Ultimate goal of LSA is to support and accelerate the advancement in life science research. Omics is the comprehensive study of molecules in living organisms. The complete sequencing of genomes (the complete set of genes in an organism) has enabled rapid developments in the collection and analysis of various types of comprehensive molecular data such as transcriptomes (the complete set of gene expression data) and proteomes (the complete set of intracellular proteins). Fundamental omics research aims to link these omics data to molecular networks and pathways in order to advance the understanding of biological phenomena as systems at the molecular level. | expression, gene, genome, human, intracellular, life, living, model organisms and comparative genomics databases, molecule, omics, organism, pathway, protein, proteome, science, sequence, technology, transcriptome | is parent organization of: FANTOM DB | RIKEN Yokohama Institute Yokohama Research Promotion Division of Japan | nif-0000-21361 | SCR_008241 | RIKEN OSC | 2026-08-03 09:33:44 | 0 | ||||||||
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Distributed Annotation System Resource Report Resource Website 10+ mentions |
Distributed Annotation System (RRID:SCR_008427) | narrative resource, data or information resource, software resource, standard specification | The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center. | annotation, database, software, genomic, protein, sequence, visualization, data, client-server, integration, bioinformatics, genome, structure, data integration |
is listed by: 3DVC has parent organization: Uppsala University; Uppsala; Sweden |
Howard Hughes Medical Institute ; NHGRI 2-P01-HG00956 |
nif-0000-30177 | SCR_008427 | BioDAS | 2026-08-03 09:34:06 | 11 | ||||||||
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MODELLER Resource Report Resource Website 5000+ mentions |
MODELLER (RRID:SCR_008395) | portal, software application, topical portal, simulation software, data or information resource, software resource | Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms. | comparative, protein, structure, modelling, satisfaction, spatial, restrain, homology, 3D, alignment, sequence, hydrogen, atom, cluster |
is listed by: SoftCite has parent organization: University of California at San Francisco; California; USA |
Sandler Family Supporting Foundation ; NIGMS R01 GM54762; NIGMS P01 GM71790; NIH P01 A135707; NIGMS U54 GM62529; IBM ; Intel |
Restricted | nif-0000-30054 | SCR_008395 | 2026-08-03 09:34:02 | 5736 | ||||||||
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PredictNLS Resource Report Resource Website 10+ mentions |
PredictNLS (RRID:SCR_003133) | PredictNLS | production service resource, data analysis service, analysis service resource, service resource, software resource | Software automated tool for analysis and determination of Nuclear Localization Signals (NLS). Predicts that your protein is nuclear or finds out whether your potential NLS is found in our database. The program also compiles statistics on the number of nuclear/non-nuclear proteins in which your potential NLS is found. Finally, proteins with similar NLS motifs are reported, and the experimental paper describing the particular NLS are given. | bio.tools, nuclear localization signal, protein, protein sequence |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: ROSTLAB has parent organization: Columbia University; New York; USA |
DOI:10.1093/embo-reports/kvd092 | Free, Available for download, Freely available | nif-0000-31416, OMICS_01633, SCR_008553, biotools:predictnls | https://www.rdocumentation.org/packages/propagate/versions/1.0-4/topics/predictNLS | SCR_003133 | Prediction and Analysis of Nuclear Localization Signals | 2026-08-03 09:32:12 | 30 | |||||
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I2D Resource Report Resource Website 10+ mentions |
I2D (RRID:SCR_002957) | I2D | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Database of known and predicted mammalian and eukaryotic protein-protein interactions, it is designed to be both a resource for the laboratory scientist to explore known and predicted protein-protein interactions, and to facilitate bioinformatics initiatives exploring protein interaction networks. It has been built by mapping high-throughput (HTP) data between species. Thus, until experimentally verified, these interactions should be considered predictions. It remains one of the most comprehensive sources of known and predicted eukaryotic PPI. It contains 490,600 Source Interactions, 370,002 Predicted Interactions, for a total of 846,116 interactions, and continues to expand as new protein-protein interaction data becomes available. | interaction, prediction, protein-protein interaction, high-throughput, model organism, mammal, eukaryote, visualization, interolog, protein |
is related to: Interaction Reference Index is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry is related to: IntAct has parent organization: University of Toronto; Ontario; Canada |
National Science and Engineering Research Council RGPIN 203833-02; NIGMS P50-GM62413 |
PMID:17535438 PMID:15657099 |
Free, Available for download, Freely available | nif-0000-03005, r3d100010675 | https://doi.org/10.17616/R3BG8R | SCR_002957 | Interologous Interaction Database, OPHID, I2D - Interologous Interaction Database | 2026-08-03 09:31:54 | 23 | ||||
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Human Proteinpedia Resource Report Resource Website 10+ mentions |
Human Proteinpedia (RRID:SCR_002948) | Human Proteinpedia | data repository, data or information resource, database, storage service resource, service resource | A community portal for sharing and integration of human protein data that allows research laboratories to contribute and maintain protein annotations. The Human Protein Reference Database (HPRD) integrates data that is deposited along with the existing literature curated information in the context of an individual protein. Data pertaining to post-translational modifications, protein-protein interactions, tissue expression, expression in cell lines, subcellular localization and enzyme substrate relationships can be submitted. | enzyme, protein expression, post-translational modification, protein-protein interaction, subcellular localization, enzyme substrate, tissue expression, protein, protein binding, peptide, mass spectrometry, mass spectrometry spectra, immunohistochemistry, western blotting, microarray, co-immunoprecipitation, fluorescence, annotation, cell line expression, disease tissue expression, FASEB list |
is listed by: re3data.org is related to: HPRD - Human Protein Reference Database has parent organization: Johns Hopkins University; Maryland; USA has parent organization: Institute of Bioinformatics; Bangalore; India |
PMID:18259167 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02999, r3d100010985 | https://doi.org/10.17616/R3V62C | SCR_002948 | 2026-08-03 09:32:10 | 32 | ||||||
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MultiLoc Resource Report Resource Website 10+ mentions |
MultiLoc (RRID:SCR_003151) | MultiLoc | production service resource, data analysis service, analysis service resource, service resource, software resource | An extensive high-performance subcellular protein localization prediction system that incorporates phylogenetic profiles and Gene Ontology terms to yield higher accuracies compared to its previous version. Moreover, it outperforms other prediction systems in two benchmarks studies. A downloadable version of MultiLoc2 for local use is also available. | subcellular localization, protein, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tubingen; Tubingen; Germany |
PMID:19723330 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01628, biotools:multiloc2 | https://bio.tools/multiloc2 | SCR_003151 | 2026-08-03 09:31:59 | 40 | ||||||
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Database of Interacting Proteins (DIP) Resource Report Resource Website 100+ mentions |
Database of Interacting Proteins (DIP) (RRID:SCR_003167) | DIP | data repository, production service resource, data analysis service, service resource, database, storage service resource, analysis service resource, data or information resource | Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available. | blast, cellular network, ligand-receptor complex, ligand, network, protein, protein interaction, protein ligand, protein-protein interaction, protein receptor, receptor, sequence, interaction, regulatory pathway, signaling pathway, protein binding, bio.tools, FASEB list |
is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: re3data.org is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: NIH Data Sharing Repositories is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of California at Los Angeles; California; USA |
NIGMS | PMID:14681454 | Free, Available for download, Freely available | OMICS_01905, nif-0000-00569, r3d100010882, biotools:dip | https://dip.doe-mbi.ucla.edu/dip/Main.cgi, https://bio.tools/dip, https://doi.org/10.17616/R3431F | SCR_003167 | , Database of Interacting Proteins, DIP, Database of Interacting Proteins (DIP) | 2026-08-03 09:31:59 | 153 |
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