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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PlnTFDB Resource Report Resource Website 100+ mentions |
PlnTFDB (RRID:SCR_010899) | service resource, data or information resource, data analysis service, database, production service resource, analysis service resource | Public database arising from efforts to identify and catalogue all plant genes involved in transcriptional control.Integrative plant transcription factor database that provides web interface to access large sets of transcription factors of several plant species, currently encompassing Arabidopsis thaliana (thale cress), Populus trichocarpa (poplar), Oryza sativa (rice), Chlamydomonas reinhardtii and Ostreococcus tauri. Provides access point to its daughter databases of species-centered representation of transcription factors (OstreoTFDB, ChlamyTFDB, ArabTFDB, PoplarTFDB and RiceTFDB). Information including protein sequences, coding regions, genomic sequences, expressed sequence tags, domain architecture and scientific literature is provided for each family. | protein model, protein sequence, gene family, protein, transcriptional control, blast, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
University of Potsdam ; Germany ; German Federal Ministry of Education and Research ; Fond der Chemischen Industrie |
PMID:19858103 PMID:17286856 |
Free, Freely available | biotools:plntfdb, OMICS_00561 | http://plntfdb.bio.uni-potsdam.de/v3.0/, https://bio.tools/plntfdb | SCR_010899 | Plant Transcription Factor Database, PlnTFDB v3.0 | 2026-07-28 09:42:59 | 201 | |||||
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Caenorhabditis Genetics Center Resource Report Resource Website 1000+ mentions |
Caenorhabditis Genetics Center (RRID:SCR_007341) | CGC | cell repository, organism supplier, biomaterial supply resource, material resource | Center that acquires, maintains, and distributes genetic stocks and information about stocks of the small free-living nematode Caenorhabditis elegans for use by investigators initiating or continuing research on this genetic model organism. A searchable strain database, general information about C. elegans, and links to key Web sites of use to scientists, including WormBase, WormAtlas, and WormBook are available. | non-human animal, caenorhabditis elegans, chromosome, database, model, mutant, nematode, nomenclature, model organism, protein, transgenic, web accessible database, genetic stock, germplasm, genotype, FASEB list |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is related to: C. elegans Gene Knockout Consortium is related to: Expression Patterns for C. elegans promoter GFP fusions has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
NIH OD010440 | nif-0000-00240 | https://orip.nih.gov/comparative-medicine/programs/invertebrate-models, http://www.cbs.umn.edu/research/resources/cgc | http://biosci.umn.edu/CGC/, http://www.cgc.cbs.umn.edu | SCR_007341 | 2026-07-28 09:41:44 | 3842 | ||||||
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Olfactory Receptor DataBase Resource Report Resource Website 1+ mentions |
Olfactory Receptor DataBase (RRID:SCR_007830) | ORDB | service resource, data or information resource, data repository, data analysis service, storage service resource, database, production service resource, analysis 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 | 2026-07-28 09:41:54 | 4 | ||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | service resource, data or information resource, data repository, database, data access protocol, software resource, web service, storage service resource | 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 | 2026-07-28 09:42:09 | 272 | ||||
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DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity Resource Report Resource Website |
DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity (RRID:SCR_008028) | DNAftB | narrative resource, data or information resource, image collection, video resource, topical portal, portal, training material | An animated primer on the basics of DNA, genes, and heredity organized around three key concepts: Classical Genetics, Molecules of Genetics, and Genetic Organization and Control. The science behind each concept is explained by: animation, image gallery, video interviews, problem, biographies, and links. | gene, genetic, chromosome, dna, heredity, human, protein, reverse transcriptase, transcription, translation, transposon, genetics, virus, rna, mutation | has parent organization: Cold Spring Harbor Laboratory | Josiah Macy Jr. Foundation | nif-0000-10208 | SCR_008028 | DNA from the Beginning | 2026-07-28 09:42:16 | 0 | |||||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | service resource, data or information resource, data repository, database, image collection, d spatial image, 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 | 2026-07-28 09:41:54 | 7 | |||||
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Protein Mutant Database Resource Report Resource Website 1+ mentions |
Protein Mutant Database (RRID:SCR_007878) | PMD | service resource, data or information resource, data repository, database, 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 | 2026-07-28 09:42:14 | 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 | 2026-07-28 09:41:55 | 246 | ||||
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Mouse Gene Expression at the BC Cancer Agency Resource Report Resource Website 10+ mentions |
Mouse Gene Expression at the BC Cancer Agency (RRID:SCR_008091) | Mouse Gene Expression at the BC Cancer Agency | data or information resource, database, atlas, topical portal, portal | A portal to the Mouse Atlas of Gene Expression Project and Dissecting Gene Expression Networks in Mammalian Organogenesis Project. This Atlas will define the normal state for many tissues by determining, in a comprehensive and quantitative fashion, the number and identity of genes expressed throughout development. The resource will be comprehensive, quantitative, and publicly accessible, containing data on essentially all genes expressed throughout select stages of mouse development. Serial Analysis of Gene Expression (SAGE) is the gene expression methodology of choice for this work. Unlike expressed sequence tags (ESTs) and gene chip data, SAGE data are independent of prior gene discovery and are quantitative. Furthermore, SAGE data are digital, easily exchanged between laboratories for comparison and can be added to by scientists for years to come. Thus, this Atlas will include a data structure and data curation strategy that will facilitate the ongoing collection of gene expression data, even after the completion of this project. The Mouse Atlas project compromises 202 SAGE Libraries from 198 tissues. The list of libraries is available in a number of different groupings, including groups of libraries taken from specific tissue locations and libraries taken from specific developmental stages. Furthermore, this atlas will assemble gene expression profiles for a few focused experiments that will test hypotheses related to the techniques employed, tumor models and models of abnormal development. This will test the resource and provide quality control, validation and demonstrate applicability. Additionally, The Mammalian Organogenesis - Regulation by Gene Expression Networks (MORGEN) project will provide a complete, permanent, and accurate picture of mouse gene expression in the heart (atrioventricular canal and outflow tract), pancreas, and liver; new techniques to understand the interplay of proteins governing the expression of genes key to the development of these organ systems; and the identification of the master regulatory switches that control development of the tissues. | gene, gene expression, abnormal development, development, heart, liver, mouse, organ system, pancreas, protein, tissue, tumor | has parent organization: BC Cancer Agency | Genome Canada ; BC Cancer Agency ; BC Cancer Foundation ; NCI |
nif-0000-11029 | SCR_008091 | 2026-07-28 09:42:02 | 15 | ||||||||
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MitoRes Resource Report Resource Website 1+ mentions |
MitoRes (RRID:SCR_008208) | MitoRes | software application, data analysis software, software resource, data processing software, data acquisition software | 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 | 2026-07-28 09:42:05 | 1 | |||||||||
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Institute of Experimental Medicine of the Hungarian Academy of Sciences: Laboratory of Cerebral Cortext Reserach Resource Report Resource Website |
Institute of Experimental Medicine of the Hungarian Academy of Sciences: Laboratory of Cerebral Cortext Reserach (RRID:SCR_008041) | data or information resource, organization portal, portal, laboratory portal | The aim of this laboratory is to understand how information is encoded in specific spatiotemporal activity patterns and structural configurations at the circuit, cellular, and molecular levels in the hippocampus, thereby enabling the process of memory. A major task is to find the neuronal codes of internal representations of memory items and the mapping rules between the levels of gene expression/proteins synthesis and the level of cognitive processing. Novel combinations of approaches, including multiple single-cell recording technology, patch-clamp electrophysiology, neuroanatomy/neurochemistry at the cellular and subcellular levels, and computational models are employed to test specific hypotheses about that mapping process (such as local circuit anatomy and activity-dependent short-term and long-term synaptic plasticity). Collaborations within the Institute allows the group to also incorporate gene targeting methods and behavioral learning/memory tests in their methodological repertoire. The laboratory has been focusing on the normal and pathological (epileptic, ischemic) activity of cortical networks, with particular attention to the generation of behaviour-dependent population discharge patterns (theta and gamma oscillations, hippocampal sharp waves). Anatomical, in vitro and in vivo electrophysiological, pharmacological and molecular techniques and modeling are combined to elucidate the functional roles of inhibitory cell types in the control of population synchrony and synaptic plasticity in the hippocampus, their local and subcortical modulation via selective afferent pathways (GABAergic and cholinergic septal, as well as serotonergic raphe input) and pre- or postsynaptic receptors. An expanding new direction of research is related to the role of endocannabinoid signaling in the activity-dependent modulation of GABAergic and glutamatergic transmission, and its involvement in anxiety-like behavior. | electrophysiology, experimental, expression, gaba, gene, anatomy, anxiety, behavior, cell, cellular, circuit, cognitive, computational, cortical, hippocampus, laboratory, mapping, medicine, memory, molecular, neuroanatomy, neurochemistry, plasticity, processing, protein, serotonin, spatiotemporal, structural, subcellular, subcortical, synaptic | nif-0000-10257 | SCR_008041 | KOKI | 2026-07-28 09:42:16 | 0 | ||||||||||
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Harvard Medical School, Department of Systems Biology: The Megason Lab -GoFigure Software Resource Report Resource Website 1+ mentions |
Harvard Medical School, Department of Systems Biology: The Megason Lab -GoFigure Software (RRID:SCR_008037) | software application, data or information resource, software resource, data processing software, data visualization software, topical portal, portal | GoFigure is a software platform for quantitating complex 4d in vivo microscopy based data in high-throughput at the level of the cell. A prime goal of GoFigure is the automatic segmentation of nuclei and cell membranes and in temporally tracking them across cell migration and division to create cell lineages. GoFigure v2.0 is a major new release of our software package for quantitative analysis of image data. The research focuses on analyzing cells in intact, whole zebrafish embryos using 4d (xyzt) imaging which tends to make automatic segmentation more difficult than with 2d or 2d+time imaging of cells in culture. This resource has developed an automatic segmentation pipeline that includes ICA based channel unmixing, membrane nuclear channel subtraction, Gaussian correlation, shape models, and level set based variational active contours. GoFigure was designed to meet the challenging requirements of in toto imaging. In toto imaging is a technology that we are developing in which we seek to track all the cell movements and divisions that form structures during embryonic development of zebrafish and to quantitate protein expression and localization on top of this digital lineage. For in toto imaging, GoFigure uses zebrafish embryos in which the nuclei and cell membranes have been marked with 2 different color fluorescent proteins to allow cells to be segmented and tracked. A transgenic line in a third color can be used to mark protein expression and localization using a genetic approach that this resource developed called FlipTraps or using traditional transgenic approaches. Embryos are imaged using confocal or 2-photon microscopy to capture high-resolution xyzt image sets used for cell tracking. The GoFigure GUI will provide many tools for visualization and analysis of bioimages. Since fully automatic segmentation of cells is never perfect, GoFigure will provide easy to use tools for semi-automatically and manually adding, deleting, and editing traces in 2d (figures-xy, xz, or yz), 3d (meshes- xyz), 4d (tracks- xyzt) and 4d+cell division (lineages). GoFigure will also provide a number of views into complex image data sets including 3d XYZ and XYT image views, tabular list views of traces, histograms, and scattergrams. Importantly, all these views will be linked together to allow the user to explore their data from multiple angles. Data will be easily sorted and color-coded in many ways to explore correlations in higher dimensional data. The GoFigure architecture is designed to allow additional segmentation, visualization, and analysis filters to be plugged in. Sponsors: GoFigure is developed by Harvard University., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | embryo, expression, fluorescent, gaussian, genetic, 2d, 2-photon, 4d, analysis, bioimage, cell, cell membrane, cell movement, channel, confocal, contour, culture, data, dimensional, high-resolution, histogram, in vivo, localization, microscopy, model, nuclear, nucleus, protein, scattergram, segmentation, shape, software, technology, toto imaging, tracking, transgenic, visualization, zebrafish, image | has parent organization: Harvard University; Cambridge; United States | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10243 | SCR_008037 | GoFigure | 2026-07-28 09:41:58 | 5 | ||||||||
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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) | database, data or information resource, topical portal, 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 | 2026-07-28 09:42:01 | 2 | |||||||||
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Protein Databank Fun Resource Report Resource Website 1+ mentions |
Protein Databank Fun (RRID:SCR_008226) | software application, software resource, data analysis software, data processing software | 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 | 2026-07-28 09:42:18 | 2 | |||||||||
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Network Analysis, Visualization and Graphing TORonto Resource Report Resource Website 50+ mentions |
Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) | NAViGaTOR | software application, d visualization software, software resource, data processing software, data visualization software | A software package for visualizing and analyzing protein-protein interaction networks. NAViGaTOR can query OPHID / I2D - online databases of interaction data - and display networks in 2D or 3D. To improve scalability and performance, NAViGaTOR combines Java with OpenGL to provide a 2D/3D visualization system on multiple hardware platforms. NAViGaTOR also provides analytical capabilities and supports standard import and export formats such as GO and the Proteomics Standards Initiative (PSI). NAViGaTOR can be installed and run on Microsoft Windows, Linux / UNIX, and Mac OS systems. NAViGaTOR is written in Java and uses JOGL (Java bindings for OpenGL) to support scalability, highlighting or suppressing of information, and other advanced graphic approaches. | fly, algorithm, capacity, graphical, graphing, human, interaction, interactome, intersection, mouse, network, node, protein, proteomic, rat, worm, yeast, graphing application, 2d visualization, 3d visualization, visualization, biological network, protein-protein interaction, gene, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Genomics Institute ; Canada Research Chair Program ; Ontario Research Fund Research Excellence ; Canada Foundation for Innovation 12301; Canada Foundation for Innovation 203383 |
PMID:19837718 | Freely-downloadable for academic and not-for-profit institutions | nif-0000-25610, biotools:navigator | https://bio.tools/navigator | SCR_008373 | NAViGaTOR - Network Analysis Visualization and Graphing TORonto, NAViGaTOR - Network Analysis Visualization & Graphing TORonto | 2026-07-28 09:42:05 | 52 | ||||
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Human Hereditary Diseases of Proteolysis Resource Report Resource Website 1+ mentions |
Human Hereditary Diseases of Proteolysis (RRID:SCR_008344) | disease-related portal, data or information resource, topical portal, portal | This resource has cataloged a total of 80 human hereditary diseases caused by mutations in protease-coding genes, which implies that more than 10% of the human protease genes are involved in human pathologies. They are classified in three groups: loss of function, gain of function, and an heterogeneous group including non-protease homologs (np), putative proteases, and hedgehog proteins with only autoprocessing activity. Type of inheritance is indicated by R (recessive) or D (dominant). | gene, disease, dominant, hereditary, homolog, human, protease, protein, proteolysis, recessive | has parent organization: University of Oviedo; Oviedo; Spain | nif-0000-25562 | SCR_008344 | Diseases of Proteolysis | 2026-07-28 09:42:07 | 2 | |||||||||
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Orientations of Proteins in Membranes database Resource Report Resource Website 100+ mentions |
Orientations of Proteins in Membranes database (RRID:SCR_011961) | OPM | image collection, data or information resource, database | Database that provides a collection of transmembrane, monotopic and peripheral proteins from the Protein Data Bank whose spatial arrangements in the lipid bilayer have been calculated theoretically and compared with experimental data. The database allows analysis, sorting and searching of membrane proteins based on their structural classification, species, destination membrane, numbers of transmembrane segments and subunits, numbers of secondary structures and the calculated hydrophobic thickness or tilt angle with respect to the bilayer normal. | protein, membrane, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Michigan; Ann Arbor; USA |
NSF | PMID:16397007 | Acknowledgement requested | OMICS_01612, biotools:opm | https://bio.tools/opm | SCR_011961 | Orientations of Proteins in Membranes (OPM) database, OPM Database | 2026-07-28 09:42:58 | 120 | ||||
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CoBaltDB Resource Report Resource Website 1+ mentions |
CoBaltDB (RRID:SCR_011970) | CoBaltDB | data or information resource, database, software resource | A comprehensive database that gathers all prediction outputs concerning complete prokaryotic proteomes. It is a client-server application, with the server installed and staying at Biogenouest bioinformatics platform, keeping all needed pre-computed genomic data, while the CoBaltDB Client or GUI is a Java application which communicates with the server via web-services. The CoBaltDB Client needs to be downloaded on your computer. | proteome, protein, subcellular localization |
is listed by: OMICtools has parent organization: University of Rennes 1; Rennes; France |
PMID:20331850 | Acknowledgement requested | OMICS_01620 | SCR_011970 | 2026-07-28 09:42:58 | 2 | |||||||
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SIFT Resource Report Resource Website 10000+ mentions |
SIFT (RRID:SCR_012813) | SIFT | service resource, data analysis service, data access protocol, software resource, source code, production service resource, web service, analysis service resource | Data analysis service to predict whether an amino acid substitution affects protein function based on sequence homology and the physical properties of amino acids. SIFT can be applied to naturally occurring nonsynonymous polymorphisms and laboratory-induced missense mutations. (entry from Genetic Analysis Software) Web service is also available. | gene, genetic, genomic, amino acid, substitution, protein function, coding region, single nucleotide variant, coding indel, deletion, insertion, sequence, protein, bio.tools |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: SIFT 4G has parent organization: Genome Institute of Singapore; Singapore; Singapore has parent organization: J. Craig Venter Institute |
Agency for Science Technology and Research ; NIGMS GM29009 |
PMID:19561590 PMID:12824425 PMID:11337480 DOI:10.1038/nprot.2009.86 |
Non-commercial | biotools:sift, OMICS_00137, nlx_154618 | http://sift.jcvi.org/, https://bio.tools/sift, https://sources.debian.org/src/sift/ | http://sift.bii.a-star.edu.sg/SIFT.html | SCR_012813 | Sorting Intolerant From Tolerant | 2026-07-28 09:43:10 | 10223 | |||
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MACS Resource Report Resource Website 1000+ mentions |
MACS (RRID:SCR_013291) | MACS | software application, software resource, data analysis software, data processing software | Software Python package for identifying transcript factor binding sites. Used to evaluate significance of enriched ChIP regions. Improves spatial resolution of binding sites through combining information of both sequencing tag position and orientation. Can be used for ChIP-Seq data alone, or with control sample with increase of specificity. | identify, transcript, factor, binding, site, model, based, analysis, CHIP Seq, short, read, sequencer, protein, DNA, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Dana-Farber Cancer Institute |
NHGRI HG004069; NHGRI HG004270; NIDDK DK074967 |
PMID:18798982 DOI:10.1186/gb-2008-9-9-r137 |
Free, Available for download, Freely available | OMICS_00446, biotools:macs | https://bio.tools/macs, https://sources.debian.org/src/macs/ | SCR_013291 | MACS - Model-based Analysis for ChIP-Seq, Model-based Analysis for ChIP-Seq, MACS2 | 2026-07-28 09:43:12 | 1325 |
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