Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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 | atlas, data or information resource, database, portal, topical 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 | 2026-09-12 12:57:00 | 15 | ||||||||
|
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 | 2026-09-12 12:57:01 | 1 | |||||||||
|
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 | 2026-09-12 12:57:01 | 1 | ||||||||
|
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, laboratory portal, organization portal, 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 | 2026-09-12 12:56:59 | 0 | ||||||||||
|
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) | data or information resource, data processing software, data visualization software, portal, software application, software resource, topical 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 | 2026-09-12 12:56:59 | 5 | ||||||||
|
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 | 2026-09-12 12:57:00 | 2 | |||||||||
|
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 | 2026-09-12 12:57:01 | 2 | |||||||||
|
Adaptive Poisson-Boltzmann Solver Resource Report Resource Website 50+ mentions |
Adaptive Poisson-Boltzmann Solver (RRID:SCR_008387) | APBS | software resource | APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods. | software package, modeling, biomolecular, electrostatic, molecular, dynamics, binding energy, equilibrium, protein, ligand, solvation, kinetics, simulation, finite element |
is listed by: 3DVC is related to: Finite Element Toolkit has parent organization: Washington University in St. Louis; Missouri; USA |
IBM/American Chemical Society ; NPACI/San Diego Supercomputer Center ; W. M. Keck Foundation ; National Biomedical Computation Resource ; NSF ; NIH |
nif-0000-30035 | SCR_008387 | 2026-09-12 12:57:03 | 51 | ||||||||
|
Network Analysis, Visualization and Graphing TORonto Resource Report Resource Website 50+ mentions |
Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) | NAViGaTOR | d visualization software, data processing software, data visualization software, software application, software resource | 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 | 2026-09-12 12:57:03 | 55 | ||||
|
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 | 2026-09-12 12:57:01 | 99 | |||||||
|
Human Hereditary Diseases of Proteolysis Resource Report Resource Website 1+ mentions |
Human Hereditary Diseases of Proteolysis (RRID:SCR_008344) | data or information resource, disease-related portal, portal, topical 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 | 2026-09-12 12:57:02 | 2 | |||||||||
|
PomBase Resource Report Resource Website 100+ mentions |
PomBase (RRID:SCR_006586) | PomBase | data or information resource, database, service resource | Model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation. PomBase also provides a community hub for researchers, providing genome statistics, a community curation interface, news, events, documentation, mailing lists, and welcomes data submissions. | fission yeast, gene ontology, genome sequence, schizosaccharomyces pombe (4896), schizosaccharomyces pombe, dna, protein, cosmic assembly, intron, go, chromosome, telomere, centromere, mating region, data mapping, model organism, genome, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: AmiGO is related to: GeneDB Spombe has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: University College London; London; United Kingdom is parent organization of: Fission Yeast Phenotype Ontology is parent organization of: Pompep |
Wellcome Trust WT090548MA | PMID:22039153 | Public, Acknowledgement requested | biotools:pombase, nlx_144356, r3d100011478 | https://bio.tools/pombase, https://doi.org/10.17616/R3NS78 | http://www.sanger.ac.uk/Projects/S_pombe/ | SCR_006586 | Schizosaccharomyces pombeGenome Sequencing Project | 2026-09-12 12:56:42 | 396 | |||
|
European Nucleotide Archive (ENA) Resource Report Resource Website 1000+ mentions |
European Nucleotide Archive (ENA) (RRID:SCR_006515) | ENA | data or information resource, data repository, database, service resource, storage service resource | Public archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource. | analysis, bioinformatics, dna, nucleotide, sequencing, web service, rna, molecular biology, nucleotide sequence, protein, gene expression, gene, genome, biochemistry, molecular structure, metabolite, protein binding, chemogenomics, gold standard |
is used by: BioSample Database at EBI 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: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: NCBI Sequence Read Archive (SRA) is related to: ENA Sequence Version Archive is related to: VBASE2 is related to: DDBJ Sequence Read Archive is related to: ISA Infrastructure for Managing Experimental Metadata is related to: DNA DataBank of Japan (DDBJ) is related to: DNA DataBank of Japan (DDBJ) is related to: NCBI is related to: INSDC is related to: INSDC is related to: NCBI Assembly Archive Viewer has parent organization: European Bioinformatics Institute is parent organization of: ENA Sequence Search works with: Eutherian comparative genomic analysis protocol |
EMBL ; Wellcome Trust ; European Union |
PMID:20972220 | Public, The community can contribute to this resource, Acknowledgement requested | OMICS_01029, r3d100010527, nif-0000-32981 | http://www.ebi.ac.uk/embl/, https://doi.org/10.17616/R3HW3J | SCR_006515 | ENA, European Nucleotide Archive | 2026-09-12 12:56:41 | 1344 | ||||
|
PDBsum Resource Report Resource Website 500+ mentions |
PDBsum (RRID:SCR_006511) | PDBsum | analysis service resource, d spatial image, data analysis service, data or information resource, database, production service resource, service resource | Pictorial database of an at-a-glance overview of the contents of each 3D structure deposited in the Protein Data Bank (PDB). It shows the molecule(s) that make up the structure (ie protein chains, DNA, ligands and metal ions) and schematic diagrams of their interactions. Extensive use is made of the freely available RasMol molecular graphics program to view the molecules and their interactions in 3D. Entries are accessed either by their 4-character PDB code, or by one of the two search boxes provided on the PDBsum home page: text search or sequence search. The information given on each PDBsum entry is spread across several pages, as listed below and accessible from the tabs at the top of the page. Only the relevant tabs will be present on any given page. * Top page - summary information including thumbnail image of structure, molecules in structure, enzyme reaction diagram (where relevant), GO functional assignments, and selected figures from key reference * Protein - wiring diagram, topology diagram(s) by CATH domain, and residue conservation (where available) * DNA/RNA - DNA/RNA sequence and NUCPLOT showing interactions made with protein * Ligands - description of bound molecule and LIGPLOT showing interactions made with protein * Prot-prot - schematic diagrams of any protein-protein interfaces and the residue-residue interactions made across them * Clefts - listing of top ten clefts in the surface of the protein, listed by volume with any bound ligands shown * Links - links to external databases Additionally, it accepts users'''' own PDB format files and generates a private set of analyses for each uploaded structure. | 3d structure, protein, molecule, structure, protein chain, dna, ligand, metal ion, interaction, gold standard |
is related to: ProFunc is related to: SAS - Sequence Annotated by Structure is related to: ArchSchema is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: DrugPort is related to: Enzyme Structures Database has parent organization: European Bioinformatics Institute |
Wellcome Trust | PMID:18996896 PMID:15608193 PMID:11125097 PMID:9433130 |
nlx_40623 | SCR_006511 | 2026-09-12 12:56:41 | 634 | |||||||
|
Comparative Toxicogenomics Database (CTD) Resource Report Resource Website 1000+ mentions |
Comparative Toxicogenomics Database (CTD) (RRID:SCR_006530) | CTD | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A public database that enhances understanding of the effects of environmental chemicals on human health. Integrated GO data and a GO browser add functionality to CTD by allowing users to understand biological functions, processes and cellular locations that are the targets of chemical exposures. CTD includes curated data describing cross-species chemical–gene/protein interactions, chemical–disease and gene–disease associations to illuminate molecular mechanisms underlying variable susceptibility and environmentally influenced diseases. These data will also provide insights into complex chemical–gene and protein interaction networks. | environment, chemical, disease, gene, pathway, protein, interaction, animal model, ontology, annotation, toxin, ontology or annotation browser, FASEB list |
is used by: DisGeNET is used by: NIF Data Federation is listed by: 3DVC is listed by: Gene Ontology Tools is related to: PharmGKB Ontology is related to: Gene Ontology is related to: BioRAT is related to: Integrated Gene-Disease Interaction is related to: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Mount Desert Island Biological Laboratory has parent organization: North Carolina State University; North Carolina; USA is parent organization of: Interaction Ontology |
American Chemistry Council ; NCRR P20 RR016463; NIEHS ES014065; NIEHS R01 ES019604; NIEHS U24 ES033155; Pfizer |
PMID:16902965 PMID:16675512 PMID:14735110 PMID:12760826 |
Free, Freely available | OMICS_01578, nif-0000-02683, r3d100011530 | http://ctd.mdibl.org, https://doi.org/10.17616/R3KS7N | SCR_006530 | CTD - Comparative Toxicogenomics Database | 2026-09-12 12:56:41 | 1901 | ||||
|
Pharmabase - an open content cheminformatics resource linking physiology with pharmacology Resource Report Resource Website |
Pharmabase - an open content cheminformatics resource linking physiology with pharmacology (RRID:SCR_002462) | Pharmabase | data or information resource, database, image collection | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 25, 2015. Open content cheminformatics database linking physiology with pharmacology, it targets the action and use of pharmacological compounds in modifying protein function, while revealing molecular relationships and linking out to related databases and sites. Pharmabase has been developed as a research tool, a resource for students, and an ongoing interactive forum on the use of pharmacological compounds in cellular research. It has several navigational routes, including a graphics browser (shows graphics of cell types and pathways) and membrane transport, which also illustrates the diversity of mechanisms that are covered. Users have access to detailed compound records with interactive features, and a form to send comments to the editor. Investigators are encouraged to alert the editors to mistakes, omissions or new compound information available from their reading and research. | function, cell, compound, graphic, illustration, membrane, molecular, pharmacological, pharmacology, protein, transport, metabolism, intracellular messenger, cell signaling, disease, tissue, cell type, pathway, pharmacology, channel, pump, carriers, protein transporter, membrane transport | has parent organization: BioCurrents Research Center | NCRR P41 RR001395 | PMID:18428760 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21324 | SCR_002462 | 2026-09-12 12:55:41 | 0 | ||||||
|
Ensembl Resource Report Resource Website 10000+ mentions |
Ensembl (RRID:SCR_002344) | data or information resource, database | Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species. | collection, genome, dataset, database, vertebrate, eukaryotic, DNA, protein, sequence, search, automaticly, annotate, data, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Animal QTLdb is used by: ChannelPedia is used by: Blueprint Epigenome is used by: HmtPhenome lists: Ensembl Covid-19 is listed by: OMICtools is listed by: Biositemaps is listed by: re3data.org is listed by: LabWorm is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Ensembl Genomes is related to: GermOnline is related to: CandiSNPer is related to: Human Splicing Finder is related to: NGS-SNP is related to: Sanger Mouse Resources Portal is related to: DECIPHER is related to: Ensembl Genomes is related to: PeptideAtlas is related to: AnimalTFDB is related to: Bgee: dataBase for Gene Expression Evolution is related to: FlyMine is related to: Rat Gene Symbol Tracker is related to: UniParc at the EBI is related to: go-db-perl is related to: UniParc is related to: g:Profiler is related to: RIKEN integrated database of mammals is related to: VBASE2 is related to: p300db is related to: ShinyGO has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: Ensembl Metazoa is parent organization of: Ensembl Variation is parent organization of: Pre Ensembl is parent organization of: Variant Effect Predictor is parent organization of: Ensembl Bacteria is parent organization of: Ensembl Plants is parent organization of: Ensembl Fungi is parent organization of: Ensembl Protists is parent organization of: Ensembl Genome Browser works with: Genotate works with: CellPhoneDB works with: Open Regulatory Annotation Database works with: Database of genes related to Repeat Expansion Diseases works with: TarBase |
BBSRC ; EMBL ; European Union ; FP6 ; FP7 ; MRC ; NHGRI ; Wellcome Trust |
PMID:24316576 PMID:23203987 |
nif-0000-21145, OMICS_01647, biotools:ensembl, r3d100010228 | https://bio.tools/ensembl, https://sources.debian.org/src/ensembl/, https://doi.org/10.17616/R39K5B | SCR_002344 | ENSEMBL | 2026-09-12 12:55:40 | 12374 | ||||||
|
DBSubLoc - Database of protein Subcellular Localization Resource Report Resource Website 1+ mentions |
DBSubLoc - Database of protein Subcellular Localization (RRID:SCR_002339) | DbSubLoc | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | A database of protein subcellular localization containing proteins from primary protein database SWISS-PROT and PIR. By collecting the subcellular localization annotation, these information are classified and categorized by cross references to taxonomies and Gene Ontology database. Annotations were taken from primary protein databases, model organism genome projects and literature texts, and then were analyzed to dig out the subcellular localization features of the proteins. The proteins are also classified into different categories. Based on sequence alignment, nonredundant subsets of the database have been built, which may provide useful information for subcellular localization prediction. The database now contains >60 000 protein sequences including 30 000 protein sequences in the nonredundant data sets. Online download, SOAP server, Blast tools and prediction services are also available. | protein, protein database, protein subcellular localization, blast, prediction, subcellular | has parent organization: National Tsing Hua University; Hsinchu; Taiwan | National Key Foundational Research of China 863-2002AA23/03/; National Key Foundational Research of China 2002AA234041; National Key Foundational Research of China 973-2003CB715900; National Key Foundational Research of China NSF-90303017 |
PMID:14681374 | nif-0000-02735 | SCR_002339 | 2026-09-12 12:55:39 | 2 | |||||||
|
Reflect Resource Report Resource Website 50+ mentions |
Reflect (RRID:SCR_002714) | Reflect | data access protocol, software application, software resource, web service | Web service that tags gene, protein, and small molecule names in any web page. Clicking on a tagged term opens a small popup showing summary information, and allows the user to quickly link to more detailed information. For each protein or gene, Reflect provides domain structure, sub-cellular localization, 3D structure, and interaction partners. For small molecules, it provides the chemical structure and interaction partners. Reflect can be installed as a plugin to Firefox or Internet Explorer, or can be used by entering a URL in the field provided. It can also be accessed programmatically via a REST or SOAP API, and a Reflect button can easily be added to any web page using Javascript or using a CGI proxy. Reflect was first-prize winner out of over 70 submissions in the Elsevier Grand Challenge, an international competition for systems that improve the way scientific information is communicated and used. Reflect can be edited and improved by the community. | text mining, semantic mark up, gene, protein, computational linguistics, small molecule, domain structure, sub-cellular localization, 3d structure, interaction, chemical structure |
is listed by: OMICtools is listed by: FORCE11 has parent organization: University of Copenhagen; Copenhagen; Denmark has parent organization: European Bioinformatics Institute |
PMID:19513049 | nif-0000-23349, OMICS_01196 | http://reflect.ws/ | SCR_002714 | Reflect: Protein small molecules | 2026-09-12 12:55:45 | 88 | ||||||
|
Ablynx Resource Report Resource Website 10+ mentions |
Ablynx (RRID:SCR_002940) | Ablynx | material service resource, production service resource, reagent manufacture, service resource | A biopharmaceutical company engaged in the discovery and development of Nanobodies, a novel class of antibody-derived therapeutic proteins based on single-domain antibody fragments, for a range of serious life-threatening human diseases including inflammation, hematology, oncology and pulmonary disease. | nanobody, protein, antibody fragment, human disease, oncology, hematology, tumor, blood, therapy, therapeutic, pharmaceutical, drug product, drug | Inflammation, Cancer, Pulmonary disease, Thrombosis, Alzheimer's disease, Rheumatoid arthritis, Osteoporosis, Thrombotic thrombocytopenic purpura, Respiratory syncytial virus | nif-0000-30052 | SCR_002940 | 2026-09-12 12:55:49 | 18 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
