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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NAST Resource Report Resource Website 50+ mentions |
NAST (RRID:SCR_006995) | NAST | simulation software, software application, software resource | A knowledge-based coarse-grained tool for modeling RNA structures. It produces a diverse set of plausible 3D structures that satisfy user-provided constraints based on: 1. primary sequence 2. known or predicted secondary structure 3. known or predicted tertiary contacts (optional) Additionally, NAST can use residue-resolution experimental data (e.g. hydroxyl radical footprinting) to filter the generated decoy structures. NAST uses an RNA-specific knowledge-based potential in a coarse-grained molecular dynamics engine to generate large numbers of plausible 3D structures that satisfy the constraints given on the secondary and tertiary structure. It then filter these structures based on agreement to the experimental data (if available). This results in a model of the molecule which satisfies all the known residue-resolution data. Imported from BiositeMaps registry | 3d, nucleic acid, primary, rna, secondary, sequence, simulation, structure, tertiary, tool | nif-0000-23333 | SCR_006995 | The Nucleic Acid Simulation Tool (NAST), The Nucleic Acid Simulation Tool | 2026-09-05 06:26:05 | 68 | |||||||||
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YeTFaSCo Resource Report Resource Website 10+ mentions |
YeTFaSCo (RRID:SCR_006893) | YeTFaSCo | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Collection of all available transcription factor (TF) specificities for the yeast Saccharomyces cerevisiae in Position Frequency Matrix (PFM) or Position Weight Matrix (PWM) formats. The specificities are evaluated for quality using several metrics. With this website, you can scan sequences with the motifs to find where potential binding sites lie, inspect precomputed genome-wide binding sites, find which TFs have similar motifs to one you have found, and download the collection of motifs. Submissions are welcome. | transcription factor, binding site, sequence, yeast, motif, gene, genome, protein, protein complex |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Graduate Scholarship awards ; Canadian Institutes of Health Research Operating Grant MOP-490425; Canadian Institutes of Health Research Operating Grant MOP-86705 |
PMID:22102575 | Acknowledgement requested | nlx_151611, OMICS_01861 | SCR_006893 | Yeast Transcription Factor Specificity Compendium, YeTFaSCo: The Yeast Transcription Factor Specificity Compendium | 2026-09-05 06:26:03 | 34 | |||||
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Malaria Parasite Metabolic Pathways Resource Report Resource Website 10+ mentions |
Malaria Parasite Metabolic Pathways (RRID:SCR_007072) | Malaria Parasite Metabolic Pathways | data or information resource, data set, image collection | Data set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database. | enzyme, gene, genome, map, metabolic, mosquito, parasite, pathway, plasmodium falciparum, protein, reaction, sequence, metabolic pathway, chemical structure, cell-cell interaction, transport, morphology, mitochondria, apicoplast | has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel | Malaria | UNDP/World Bank/WHO Special Programme ; NIAID ; European Union ; 6th FP- BioMalPar Network of Excellence on Biology and Pathology of the Malaria Parasite |
nif-0000-21249 | SCR_007072 | 2026-09-05 06:26:06 | 20 | |||||||
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BioInfoBank Meta Server Resource Report Resource Website 10+ mentions |
BioInfoBank Meta Server (RRID:SCR_007181) | BioInfoBank | data or information resource, portal, topical portal | This service offers a gateway to well-benchmarked protein structure and function prediction methods. Structural models collected from the prediction servers are assessed using the powerful 3D-jury consensus approach. The Structure Prediction Meta Server provides access to various fold recognition, function prediction and local structure prediction methods. The Server takes the amino acid sequence of the query protein, the reference name for the prediction job, and the E-mail address as input. The E-mail address is used only for notification about errors during the execution of the job. The query sequence and the reference name are placed in the process queue. The Meta Server accepts only sequences, which have not been submitted before. In case of duplicate sequences the second user will be notified with a link to the previous submission. Sequences longer than 800 amino acids are not accepted by some services. The internal SQL database offers the possibility to find any previous jobs processed by the Meta Server using regular expressions addressing field like E-mail, Job Name and the host name, from which the job was initiated. Each server has its own process queuing system managed by the Meta Server. All results of fold recognition servers are translated into uniform formats. The information extracted from the raw output of the servers includes the PDB codes of the hits, the alignments and the similarity (reliability) scores specific for every server. Mapping of the hits to the SCOP and FSSP classifications are made either using known PDB representatives or alignment of the template sequence with the databases of proteins in both classifications. The secondary structure assignments for all hits are taken from the mapped FSSP (red for helices and blue for strands). Underscored amino acids indicate the first residue after an insertion in the template sequence. The Meta server provides translation of the alignments in standard formats like FASTA, PDB or CASP. The Meta Server is coupled to consensus servers. They provide jury predictions based on the results collected from other services. Not all fold recognition servers are used by the jury system. The data stored on the meta server is available through http://meta.bioinfo.pl/data/JOBID/. Jobs older than 2 months are not shown. The Meta Server is only a set of programs aimed to process and manage biological data, while the predictive power of the service comes from (mostly) remote prediction providers. Sponsors: This resource is supported by The BioInfoBank Institute. | server, meta, biology, function, protein, structure, method, model, prediction, 3-dimentional, amino acid, sequence | nif-0000-30180 | http://meta.bioinfo.pl | SCR_007181 | The BioInfoBank Meta Server, BioInfoBank Meta Server | 2026-09-05 06:26:08 | 22 | ||||||||
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VBASE2 Resource Report Resource Website 50+ mentions |
VBASE2 (RRID:SCR_007082) | VBASE2 | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Integrative database of germ-line V genes from the immunoglobulin loci of human and mouse. It presents V gene sequences extracted from the EMBL nucleotide sequence database and Ensembl together with links to the respective source sequences. Based on the properties of the source sequences, V genes are classified into 3 different classes: * Class 1: genomic and rearranged evidence * Class 2: genomic evidence only * Class 3: rearranged evidence only This allows careful sequence quality validation by the user. References to other immunological databases ( KABAT, IMGT/LIGM and VBASE ) are given to provide all public annotation data for each V gene. The VBASE2 database can be accessed either by the Direct Query interface or by the DNAPLOT Query interface. The Sequences given by the user are aligned with DNAPLOT against the VBASE2 database. Direct Query allows to enter sequence IDs and names (Field 1), choose species, locus, V gene family and class (Field 2) or search for 100% sequences (Field 3). At the DNAPLOT Query, the sequences given by the user are aligned with DNAPLOT against the VBASE2 database. The DNAPLOT program offers V gene nucleotide sequence alignment referring to the IMGT V gene unique numbering. The Quick Search can be used either for Direct Query to search for sequence IDs and V gene names or for DNAPLOT Query for up to 5 sequences. The new Fab Analysis allows you to align Fab, scFab, scAb or scFv sequences with DNAPLOT against the VBASE2 database, where both heavy and light chain are analyzed. | v gene sequence, v gene, gene, dna, sequence, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: European Nucleotide Archive (ENA) is related to: Ensembl |
BMBF 031U110A/031U210A | PMID:15608286 | Acknowledgement requested | nlx_25238, biotools:germ-line_v_genes | https://bio.tools/germ-line_v_genes | SCR_007082 | VBASE2: the integrative germ-line V gene database | 2026-09-05 06:26:06 | 74 | ||||
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BioEdit Resource Report Resource Website 10000+ mentions |
BioEdit (RRID:SCR_007361) | alignment software, data analysis software, data processing software, image analysis software, sequence analysis software, software application, software resource | Software tool as biological sequence alignment editor written for Windows 95/98/NT/2000/XP/7 and sequence analysis program. Provides sequence manipulation and analysis options and links to external analysis programs to view and manipulate sequences with simple point and click operations., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | sequence, alignment, editor, analysis, program | is listed by: SoftCite | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156845 | SCR_007361 | 2026-09-05 06:26:10 | 13403 | |||||||||
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Olfactory Receptor DataBase Resource Report Resource Website 1+ mentions |
Olfactory Receptor DataBase (RRID:SCR_007830) | ORDB | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors. | fungal, pheromone receptor, gene, chemosensory, chemosensory receptor, g protein-coupled receptor, olfaction receptor, protein, receptor, taste papilla receptor, vomeronasal organ receptor, olfactory receptor, nucleotide, amino acid, chemoreceptor sequence, olfactory receptor sequence, chemoreceptor, sequence |
is used by: NIF Data Federation is listed by: 3DVC is related to: Odor Molecules DataBase is related to: Integrated Manually Extracted Annotation has parent organization: Yale School of Medicine; Connecticut; USA |
Aging | Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; National Aeronautics and Space Administration ; NIDCD RO1 DC 009977; NIDCD P01 DC 04732; NLM G08 LM05583 |
PMID:11752336 PMID:9847223 PMID:9218144 |
Public, Private, Acknowledgement requested, The community can contribute to this resource | nif-0000-03213 | SCR_007830 | Olfactory Receptors Database | 2026-09-05 06:26:15 | 4 | ||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | data access protocol, data or information resource, data repository, database, service resource, software resource, storage service resource, web service | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-09-05 06:26:14 | 272 | ||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-05 06:26:15 | 7 | |||||
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Protein Mutant Database Resource Report Resource Website 1+ mentions |
Protein Mutant Database (RRID:SCR_007878) | PMD | data or information resource, data repository, database, service resource, storage service resource | It provides information on natural and artificial mutants, including random and site-directed ones, for all proteins except members of the globin and immunoglobulin families. The PMD is based on literature, and each entry in the database corresponds to one article which may describe one, several or a number of protein mutants. Each database entry is identified by a serial number and is defined as either natural or artificial, depending on the type of the mutation. For each entry the following are recorded : JOURNAL, TITLE, CROSS-REFERENCE, PROTEIN, N-TERMINAL, CHANGE, FUNCTION, STRUCTURE, STABILITY, etc. CROSS-REFERENCE indicates the code names of the protein given in other databases such as Protein Identification Resources (2). N-TERMINAL shows the N-terminal sequence of five amino acids which may help to show the unambiguous numbering of th e sequence. CHANGE indicates the position and kind of mutations, such as amino acid substitution, insertion and deletion, denoted with a specific notation. Any functional or structural features (FUNCTION, STRUCTURE, STABILITY,etc) observed in the mutant are described immediately after ''CHANGE''. Relative differences in activity and/or stability, in comparison with the wild-type protein, are indicated with symbols (- -),(-),(=),(+) or (+ +). Complete loss of activity is denoted as (0). Data Submission A data submission system was newly prepared in the PMD. We welcome the authors of articles published in academic journals to submit their own mutant data to the PMD. After checking the contents, we will register the data with a unique accession number. | amino acid, artificial, deletion, insertion, mutant, natural, protein, sequence, substitution |
is related to: PredictSNP has parent organization: National Institute of Genetics; Shizuoka; Japan |
SCR_007878 | Protein Mutant Database | 2026-09-05 06:26:15 | 4 | |||||||||
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REBASE Resource Report Resource Website 100+ mentions |
REBASE (RRID:SCR_007886) | REBASE | data or information resource, database | Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email., | endonuclease, enzyme, genome, archaeal, bacterial, cleavage, crystal, dna, individual protein family databases, isochizomer, methylation, methyltransferase, modification, protein, recognition, restriction, restriction enzyme, sensitivity, sequence, site, methylase, cleavage site, restriction-modification, blast, FASEB list |
has parent organization: New England Biolabs works with: Webcutter |
New England Biolabs Inc ; NLM LM04971 |
PMID:19846593 PMID:17202163 |
r3d100012171, nif-0000-03391 | http://rebase.neb.com, https://doi.org/10.17616/R3J930 | http://www.neb.com/rebase | SCR_007886 | The Restriction Enzyme Database, Restriction Enzyme Database | 2026-09-05 06:26:15 | 261 | ||||
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BovMap Database Resource Report Resource Website 1+ mentions |
BovMap Database (RRID:SCR_008145) | BovMap | data or information resource, data repository, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database containing information on the cattle genome comprising loci list, phenes list, homology query, cattle maps, gene list, and chromosome homology. The objective of BovMap is to develop a set of anchored loci for the cattle genome map. In total, 58 clones were hybridized with chromosomes and identified loci on 22 of the 31 different bovine chromosomes. Three clones contained satellite DNA. Two or more markers were placed on 12 chromosomes. Sequencing of the microsatellites and flanking regions was performed directly from 43 cosmids, as previously reported. Primers were developed for 39 markers and used to describe the polymorphism associated with the corresponding loci. Users are also allowed to summit their own data for Bovmap. An integrated cytogenetic and meiotic map of the bovine genome has also been developed around the Bovmap database. One objective that Bovmap uses as the mapping strategy for the bovine genome uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing. | genetic, bovine, cattle, chromosome, clone, cosmid, cow, cytogenetic, dna, genome, homology, locus, meiotic, phene, polymorphism, sequence, map, gene | has parent organization: INRA - French National Institute for Agricultural Research; Paris; France | European Union | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20968 | SCR_008145 | 2026-09-05 06:26:18 | 2 | |||||||
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E. coli Genome project Resource Report Resource Website 1+ mentions |
E. coli Genome project (RRID:SCR_008139) | data or information resource, database, portal, topical portal | The E. coli Genome Project has the goal of completely sequencing the E. coli and human genomes. They began isolation of an overlapping lambda clonebank of E. coli K-12 strain MG1655. Those clones served as the starting material in our initial efforts to sequence the whole genome. Improvements in sequencing technology have since reached the point where whole-genome sequencing of microbial genomes is routine, and the human genome has in fact been completed. They initiated additional sequencing efforts, concentrating on pathogenic members of the family Enterobacteriaceae -- to which E. coli belongs. They also began a systematic functional characterization of E. coli K-12 genes and their regulation, using the whole genome sequence to address how the over 4000 genes of this organism act together to enable its survival in a wide range of environments. | e. coli, enterobcteriaceae, gene, genome, human, journal aricle, knowledgebase, regulation, sequence, job | has parent organization: University of Wisconsin-Madison; Wisconsin; USA | NHGRI ; NIAID |
nif-0000-20961 | SCR_008139 | E.Coli genome project | 2026-09-05 06:26:18 | 5 | ||||||||
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MitoRes Resource Report Resource Website 1+ mentions |
MitoRes (RRID:SCR_008208) | MitoRes | data acquisition software, data analysis software, data processing software, software application, software resource | MitoRes, is a comprehensive and reliable resource for massive extraction of sequences and sub-sequences of nuclear genes and encoded products targeting mitochondria in metazoa. It has been developed for supporting high-throughput in-silico analyses aimed to studies of functional genomics related to mitochondrial biogenesis, metabolism and to their pathological dysfunctions. It integrates information from the most accredited world-wide databases to bring together gene, transcript and encoded protein sequences associated to annotations on species name and taxonomic classification, gene name, functional product, organelle localization, protein tissue specificity, Enzyme Classification (EC), Gene Ontology (GO) classification and links to other related public databases. The section Cluster, has been dedicated to the collection of data on protein clustering of the entire catalogue of MitoRes protein sequences based on all versus all global pair-wise alignments for assessing putative intra- and inter-species functional relationships. The current version of MitoRes is based on the UniProt release 4 and contains 64 different metazoan species. The incredible explosion of knowledge production in Biology in the past two decades has created a critical need for bioinformatic instruments able to manage data and facilitate their retrieval and analysis. Hundreds of biological databases have been produced and the integration of biological data from these different resources is very important when we want to focus our efforts towards the study of a particular layer of biological knowledge. MitoRes is a completely rebuilt edition of MitoNuc database, which has been extensively modified to deal successfully with the challenges of the post genomic era. Its goal is to represent a comprehensive and reliable resource supporting high-quality in-silico analyses aimed to the functional characterization of gene, transcript and amino acid sequences, encoded by the nuclear genome and involved in mitochondrial biogenesis, metabolism and pathological dysfunctions in metazoa. The central features of MitoRes are: # an integrated catalogue of protein, transcript and gene sequences and sub-sequences # a Web-based application composed of a wide spectrum of search/retrieval facilities # a sequence export manager allowing massive extraction of bio-sequences (genes, introns, exons, gene flanking regions, transcripts, UTRs, CDS, proteins and signal peptides) in FASTA, EMBL and GenBank formats. It is an interconnected knowledge management system based on a MySQL relational database, which ensures data consistency and integrity, and on a Web Graphical User Interface (GUI), built in Seagull PHP Framework, offering a wide range of search and sequence extraction facilities. The database is compiled extracting and integrating information from public resources and data generated by the MitoRes team. The MitoRes database consists of comprehensive sequence entries whose core data are protein, transcript and gene sequences and taxonomic information describing the biological source of the protein. Additional information include: bio-sequences structure and location, biological function of protein product and dynamic links to both, external public databases used as data resources and public databases reporting complementary information. The core entity of the MitoRes database is represented by the protein so that each MitoRes entry is generated for each protein reported in the UniProt database as a nuclear encoded protein involved in mitochondrial biogenesis and function. Sponsors: MitoRes has been supported by Ministero Universit e Ricerca Scientifica, Italy (PRIN, Programma Biotecnologie legge 95/95-MURST 5, Proiect MURST Cluster C03/2000, CEGBA). Currently it is supported by operating grants from the Ministero dellIstruzione, dellUniversit e della Ricerca (MIUR), Italy (PNR 2001-2003 (FIRB art.8) D.M. 199, Strategic Program: Post-genome, grant 31-063933 and Project n.2, Cluster C03 L. 488/929). | dysfunction, encode, enzyme, exon, extraction, function, functional, gene, alignment, amino acid, biogenesis, bioinformatic, biological, biology, cds, classification, disfunctional, genome, genomic, genomics, intron, localization, location, metabolic process, metabolism, metazoa, mitochondria, mitochondrial, mitochondrial genes and proteins databases, nuclear, nuclear_gene, nuclear_mitochondrial, nuclear_sequence, organelle, organelle localization, pathological, peptide, protein, protein_coding, protein structure classification, region, sequence, signal, signal_peptide, specie, specificity, structure, sub-sequence, taxonomic, tissue, transcript, utr | nif-0000-21269 | http://www2.ba.itb.cnr.it/MitoNuc/ | SCR_008208 | 2026-09-05 06:26:19 | 1 | |||||||||
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MedBlast Resource Report Resource Website 1+ mentions |
MedBlast (RRID:SCR_008202) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs. | gene, article, biological, data, genome, genomic, homolog, literature, medline interfaces, mining, molecular, protein, sequence, specie | National Natural Science Foundation of China 39990600-03; Knowledge Innovation Program of the Chinese Academy of Sciences KSCX2-2-07; Knowledge Innovation Program of the Chinese Academy of Sciences KJCX1-08 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21253 | SCR_008202 | MedBlast | 2026-09-05 06:26:19 | 1 | ||||||||
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Parasite genome databases and genome research resources Resource Report Resource Website 1+ mentions |
Parasite genome databases and genome research resources (RRID:SCR_008150) | data or information resource, database, portal, topical portal | This website contains information about the genomic sequence of parasites. It also contains multiple search engines to search six frame translations of parasite nucleotide databases for motifs, parasite protein databases for motifs, and parasite protein databases for keywords and text terms. * Guide to Internet Access to Parasite Genome Information * Guide to web-based analysis tools * Parasite Genome BLAST Server: Search a range of parasite specific nucleotide sequence databases with your own sequence. * Parasite Proteome Keyword Search Facility: Search parasite protein databases for keywords and text terms * Parasite Proteome Motif Search Facility: Search parasite protein databases for motifs * Parasite Six Frame Translation Motif Search Facility: Search six frame translations of parasite nucleotide databases for motifs * Genome computing resources: A list of ftp and gopher sites where genome computing applications and other resources can be found. | genome, genomic, nucleotide, parasite, protein, proteome, sequence, gold standard | has parent organization: European Bioinformatics Institute | nif-0000-20981 | SCR_008150 | Parasite Genome Database | 2026-09-05 06:26:18 | 2 | |||||||||
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Protein Databank Fun Resource Report Resource Website 1+ mentions |
Protein Databank Fun (RRID:SCR_008226) | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. PDBfun is a web server for structural and functional analysis of proteins at the residue level. pdbFun gives fast access to the whole Protein Data Bank (PDB) organized as a database of annotated residues. The available data (features) range from solvent exposure to ligand binding ability, location in a protein cavity, secondary structure, residue type, sequence functional pattern, protein domain and catalytic activity. PDBfun is an integrated web tool for querying the PDB at the residue level and for local structural comparison. It integrates knowledge on single residues in protein structures coming from other databases or calculated with available or in-house developed instruments for structural analysis. Each set of different annotations represents a feature. Features are listed in PDBfun main page in orange. Features can be used for building residues selections. | functional, 2d, ability, activity, analysis, binding, catalytic, cavity, chain, cleft, domain, ligand, location, motif, protein, protein structure databases, residue, secondary, sequence, size, solvent, structural, structure, surface | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21315 | SCR_008226 | PDBfun | 2026-09-05 06:26:19 | 2 | |||||||||
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Affymetrix Power Tools Resource Report Resource Website 10+ mentions |
Affymetrix Power Tools (RRID:SCR_008401) | software resource | Affymetrix Power Tools (APT) are a set of cross-platform command line programs that implement algorithms for analyzing and working with Affymetrix GeneChip arrays. APT programs are intended for power users who prefer programs that can be utilized in scripting environments and are sophisticated enough to handle the complexity of extra features and functionality. APT provides platform for developing and deploying new algorithms without waiting for the GUI implementations. This resource is supported by Affymetrix, Inc. | Affymetrix, Inc., Genomics, Clinical, Study, Bioinformatic, Windows, MacOS, Linux, resource, Data, Normalization, Sequence, Annotation, Gene, Expression, Pattern, Motif, Inference, Toolkit, Model, Fitting, Algorithm |
has parent organization: Affymetrix has parent organization: Affymetrix |
nif-0000-30070 | https://www.affymetrix.com/support/developer/powertools/changelog/install.html, https://media.affymetrix.com/support/developer/powertools/changelog/index.html | http://www.affymetrix.com/partners_programs/programs/developer/tools/powertools.affx | SCR_008401 | APT | 2026-09-05 06:26:22 | 32 | |||||||
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Joint Center for Structural Genomics Resource Report Resource Website 50+ mentions |
Joint Center for Structural Genomics (RRID:SCR_008251) | JCSG | institution | The JCSG is a multi-institutional consortium that aims to explore the expanding protein universe to find new challenges and opportunities to significantly contribute to new biology, chemistry and medicine through development of HT approaches to structural genomics. The mission of JCSG is to to operate a robust HT protein structure determination pipeline as a large-scale production center for PSI-2. A major goal is to ensure that innovative high-throughput approaches are developed that advance not only structural genomics, but also structural biology in general, via investigation of large numbers of high-value structures that populate protein fold and family space and by increasing the efficiency of structure determination at substantially reduced cost. The JCSG centralizes each core activity into single dedicated sites, each handling distinct, but interconnected objectives. This unique approach allows each specialized group to focus on its own area of expertise and provides well-defined interfaces among the groups. In addition, this approach addresses the requirements for the scalability needed to process large numbers of targets at a greatly reduced cost per target. JCSG production groups are: - Administrative Core - Bioinformatics Core - Crystallomics Core - Structure Determination Core - NMR Core JCSG is deeply committed to the development of new technologies that facilitate high throughput structural genomics. The areas of development include hardware, software, new experimental methods, and adaptation of existing technologies to advance genome research. In the hardware arena, their commitment is to the development of technologies that accelerate structure solution by increasing throughput rates at every stage of the production pipeline. Therefore, one major area of hardware development has been the implementation of robotics. In the software arena, they have developed enterprise resource software that track success, failures, and sample histories from target selection to PDB deposition, annotation and target management tools, and helper applications aimed at facilitating and automating multiple steps in the pipeline. Sponsors: The Joint Center for Structural Genomics is funded by the National Institute of General Medical Sciences (NIGMS), as part of the second phase of the Protein Structure Initiative (PSI) of the National Institutes of Health (U54 GM074898). | exclusion chromatography, expression, fine-structure spectroscopy, fold, absorption, affinity, bacterial, baculovirus, bioinformatics, biology, biophysical, cell, chemistry, cloning, crystallization, crystallomics, differential scanning calorimetry, diffraction, domain, genomic, gnfuge, growth, hardware, ief gel electrophoresis, macromoleuclar, medicine, microexpression, mouse, nmr, optical density, physicochemical, protein, purification, recombinatorial, robotics, sds-page, sequence, software, structural, structural biology, structure, technology, thermocycler, topoisomerase, tryptic mass spectrometry, uv/vis absorbance scan, x-ray |
has parent organization: University of California at San Diego; California; USA has parent organization: Scripps Research Institute has parent organization: Sanford Burnham Prebys Medical Discovery Institute has parent organization: Stanford University; Stanford; California |
nif-0000-22295, grid.419677.a | https://ror.org/00exr1241 | SCR_008251 | JCSG | 2026-09-05 06:26:19 | 99 | |||||||
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Generate Pseudo-Random Numbers Resource Report Resource Website 1+ mentions |
Generate Pseudo-Random Numbers (RRID:SCR_006535) | data or information resource, portal, topical portal | This module implements pseudo-random number generators for various distributions. For integers, uniform selection from a range. For sequences, uniform selection of a random element, a function to generate a random permutation of a list in-place, and a function for random sampling without replacement. On the real line, there are functions to compute uniform, normal (Gaussian), lognormal, negative exponential, gamma, and beta distributions. For generating distributions of angles, the von Mises distribution is available. Sponsors: This resource is supported by ASTi logo Advanced Simulation Technology Inc. (ASTi); Array BioPharma Inc.; BizRate.com; Canonical Ltd.; CCP Games; cPacket Networks; EarnMyDegree.com; Enthought Inc.; Exoweb Ltd.; Google; HitMeister Inc.; IronPort Systems; KNMP; Lucasfilm; Madison Tyler LLC.; Merfin, LLC.; Microsoft; OpenEye Scientific Software; Opsware, Inc.; O''Reilly & Associates, Inc.; PropertySold.ca; Rogue Wave; SEO Moves; Strakt Holdings, Inc.; Sun Microsystems; Tabblo; ZeOmega, LLC., and Zope Corporation. | element, function, generator, computation, distribution, integer, lognormal, module, number, pseudo-random, range, sampling, sequence | nif-0000-30012 | http://docs.python.org/lib/module-random.html | SCR_006535 | Generate Pseudo | 2026-09-05 06:25:56 | 1 |
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