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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Mass Spectrometry Ontology Resource Report Resource Website |
Mass Spectrometry Ontology (RRID:SCR_003579) | MS | controlled vocabulary, data or information resource, ontology | A structured controlled vocabulary for the annotation of mass spectrometry experiments. | obo |
is listed by: BioPortal has parent organization: HUPO Proteomics Standards Initiative |
nlx_157465 | SCR_003579 | SciCrunch Registry | 2026-09-26 02:17:06 | 0 | |||||||||
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Hadoop-BAM Resource Report Resource Website 1+ mentions |
Hadoop-BAM (RRID:SCR_005516) | Hadoop-BAM | software library, software resource, software toolkit | A Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. | mapreduce/hadoop, java, next generation sequencing data, cloud |
is listed by: OMICtools has parent organization: SourceForge |
PMID:22302568 | MIT License | OMICS_01051 | SCR_005516 | SciCrunch Registry | 2026-09-26 02:17:10 | 7 | |||||||
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Predictions for Entire Proteomes Resource Report Resource Website 500+ mentions |
Predictions for Entire Proteomes (RRID:SCR_002803) | data analysis software, data processing software, sequence analysis software, software application, software resource, web application | Web application for sequence analysis and the prediction of protein structure and function. The user interface intakes protein sequences or alignments and returned multiple sequence alignments, motifs, and nuclear localization signals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | sequence analysis database, protein structure prediction, protein structure, protein function, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
BMBF | PMID:24799431 DOI:10.1093/nar/gkh377 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00136, OMICS_07135, biotools:predictprotein | https://bio.tools/predictprotein, https://sources.debian.org/src/predictprotein/ | http://cubic.bioc.columbia.edu/pep/ | SCR_002803 | SciCrunch Registry | PredictProtein | 2026-09-26 02:17:08 | 643 | ||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | SciCrunch Registry | 2026-09-26 02:17:08 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | SciCrunch Registry | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-09-26 02:17:10 | 1 | ||||
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RegulonDB Resource Report Resource Website 100+ mentions |
RegulonDB (RRID:SCR_003499) | RegulonDB | data or information resource, database | Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available. | transcription, gene regulation, operon, bacteria, evolutionary conservation, regulatory phrase, transcriptional regulation, transcriptional regulatory network, bio.tools, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: bio.tools is listed by: Debian has parent organization: National Autonomous University of Mexico; Mexico City; Mexico |
NIGMS GM071962; NIGMS GM077678; Consejo Nacional de Ciencia y Tecnologia 103686; Consejo Nacional de Ciencia y Tecnologia 179997; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN210810; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN209312 |
PMID:23203884 | OMICS_01868, nif-0000-03399, biotools:regulondb | https://bio.tools/regulondb | SCR_003499 | SciCrunch Registry | 2026-09-26 02:17:08 | 153 | ||||||
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NeuroNEXT Resource Report Resource Website 1+ mentions |
NeuroNEXT (RRID:SCR_006760) | NeuroNEXT | data or information resource, disease-related portal, knowledge environment, portal, research forum portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 26,2022. A unique clinical trial network open to studies of more than 400 neurological diseases, allowing investigators to more efficiently pursue new therapies based on scientific opportunity. The network has a centralized IRB serving 25 sites, which will allow trials to move faster, without the need to coordinate IRBs at each individual site. It is not necessary to be part of the NeuroNEXT infrastructure to propose and conduct a study within the network. The Network for Excellence in Neuroscience Clinical Trials, or NeuroNEXT, was created to conduct studies of treatments for neurological diseases through partnerships with academia, private foundations, and industry. The network is designed to expand the National Institute of Neurological Disorders and Stroke''s (NINDS) capability to test promising new therapies, increase the efficiency of clinical trials before embarking on larger studies, and respond quickly as new opportunities arise to test promising treatments for people with neurological disorders. The NeuroNEXT program aims to: * Provide a robust, standardized, and accessible infrastructure to facilitate rapid development and implementation of protocols in neurological disorders affecting adult and/or pediatric populations. The network includes multiple Clinical Sites, one Clinical Coordinating Center (CCC) and one Data Coordinating Center (DCC). * Support scientifically sound, possibly biomarker-informed, Phase II clinical trials that provide data for clear go/no-go decisions. * Energize and mobilize federal, industry, foundations and patient advocacy partners by leveraging existing relationships between NINDS and NeuroNEXT to organize high impact Phase II clinical trials for neurological disorders. * Expand the pool of experienced clinical investigators and research staff who are prepared to be leaders of multicenter clinical research trials. * Working with NeuroNEXT is a cooperative venture between NINDS, the NeuroNEXT network and the applicant. | clinical trial, adult, pediatric, child, network |
has parent organization: University of Iowa; Iowa; USA has parent organization: National Institute of Neurological Disorders and Stroke |
Neurological disorder | NINDS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151750 | SCR_006760 | SciCrunch Registry | NeuroNEXT - Network for Excellence in Neuroscience Clinical Trials | 2026-09-26 02:17:09 | 8 | |||||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA R01 AA18776; NIAAA U01 AA13499; NIAAA U24 AA13513 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/, https://doi.org/10.17616/R3248T | SCR_003009 | SciCrunch Registry | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-09-26 02:17:06 | 39 | |||||
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Onto-Compare Resource Report Resource Website 1+ mentions |
Onto-Compare (RRID:SCR_005669) | Onto-Compare | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Microarrays are at the center of a revolution in biotechnology, allowing researchers to screen tens of thousands of genes simultaneously. Typically, they have been used in exploratory research to help formulate hypotheses. In most cases, this phase is followed by a more focused, hypothesis driven stage in which certain specific biological processes and pathways are thought to be involved. Since a single biological process can still involve hundreds of genes, microarrays are still the preferred approach as proven by the availability of focused arrays from several manufacturers. Since focused arrays from different manufacturers use different sets of genes, each array will represent any given regulatory pathway to a different extent. We argue that a functional analysis of the arrays available should be the most important criterion used in the array selection. We developed Onto-Compare as a database that can provide this functionality, based on the GO nomenclature. Compare commercially available microarrays based on GO. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, data-mining, browser, visualization, analysis, compare, search engine, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, other analysis, compare commercially available microarrays based on go |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:12664686 PMID:15215428 |
Free for academic use | nlx_149108 | SCR_005669 | SciCrunch Registry | 2026-09-26 02:17:08 | 1 | |||||||
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Institute for Laboratory Animal Research Resource Report Resource Website 50+ mentions |
Institute for Laboratory Animal Research (RRID:SCR_006872) | data or information resource, narrative resource, standard specification | The mission of ILAR is to evaluate and disseminate information on issues related to the scientific, technological, and ethical use of animals and related biological resources in research, testing, and education. Using the principles of refinement, reduction, and replacement (3Rs) as a foundation, ILAR promotes high-quality science through the humane care and use of animals and the implementation of alternatives. Through the reports of expert committees, the ILAR Journal, web-based resources, and other means of communication, ILAR functions as a component of the National Academies to provide independent, objective advice to the federal government, the international biomedical research community, and the public. ILAR supports the responsible use of animals in research, testing, and education as a key component to advancing the health and quality of life of humans and animals. It promotes high-quality science and humane care and use of research animals based upon the principles of refinement, replacement, and reduction (the 3Rs) and high ethical standards. It fosters best practices that enhance human and animal welfare by organizing and disseminating information and by facilitating dialogue among interested parties. It has developed a unique Search Engine to search for animal models and strains. This search engine surveys all the websites of vendors and repositories of laboratory animals and biological material on our Links page. The ILAR develops guidelines on laboratory animal care and use and conducts conferences, symposia, and workshops on important laboratory animal problems. ILAR publishes the ILAR Journal on a quarterly basis, as well as conference proceedings and special reports prepared by committees of experts. A list of ILAR publications on issues related to laboratory animal research is available on the Web site. As part of the Animal Models and Genetic Stocks Information Exchange Program, ILAR staff members answer direct telephone and mail inquiries and maintain a Web page containing a database on animal models and genetic stock. The Web site also offers a comprehensive search engine that enables users to find information on the existence and location of special animal models, correct nomenclature to identify animals, and related topics such as diseases of animals and relevant publications. Sponsors: ILAR receives funding from the following sponsors: -Abbott Laboratories -Abbott Fund -American College of Laboratory Animal Medicine (ACLAM) -American Society of Laboratory Animal Practitioners (ASLAP) -Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC) -Bristol-Myers Squibb Co. -Charles River -Charles River Laboratories Foundation -Covance -Federation of American Societies for Experimental Biology (FASEB) -GlaxoSmithKline -Merck & Co., Inc. -National Science Foundation (NSF) -Pfizer -Scientists Center for Animal Welfare (SCAW) -U.S. Department of Agriculture (USDA) -U.S. Department of the Army -U.S. Department of Health and Human Services (DHHS) :*National Institutes of Health (NIH) :*Office of Research Integrity (ORI) -U.S. Department of the Navy -U.S. Department of Veterans Affairs -Wellcome Trust -Wyeth Pharmaceuticals | education, ethical, animal, biological, biomedical, health, human, laboratory, life, quality, research, scientific, technological, test | nif-0000-24355 | SCR_006872 | SciCrunch Registry | ILAR | 2026-09-26 02:17:09 | 55 | ||||||||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | data or information resource, data processing software, data visualization software, database, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | SciCrunch Registry | STACKdb | 2026-09-26 02:17:05 | 0 | ||||||||
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SBO Resource Report Resource Website 1+ mentions |
SBO (RRID:SCR_006753) | SBO | controlled vocabulary, data or information resource, database, ontology | A set of controlled, relational vocabularies of terms commonly used in Systems Biology, and in particular in computational modeling. The ontology consists of seven orthogonal vocabularies defining: the roles of reaction participants (eg. substrate), quantitative parameters (eg. Michaelis constant), a precise classification of mathematical expressions that describe the system (eg. mass action rate law), the modeling framework used (eg. logical framework), and a branch each to describe entity (eg. macromolecule) and interaction (eg. process) types, and a branch to define the different types of metadata that may be present within a model. SBO terms can be used to introduce a layer of semantic information into the standard description of a model, or to annotate the results of biochemical experiments in order to facilitate their efficient reuse. SBO is an Open Biomedical Ontologies (OBO) candidate ontology, and is free for use. A programmatic access to the content of the Systems Biology Ontology is provided by Web Services. | systems biology, computational modeling, web service, obo, gold standard |
is listed by: BioPortal is related to: BioModels.net is related to: OBO has parent organization: European Bioinformatics Institute |
NIGMS | PMID:17118155 | Free, The community can contribute to this resource | nlx_66206 | SCR_006753 | SciCrunch Registry | Systems Biology Ontology | 2026-09-26 02:17:11 | 4 | |||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | SciCrunch Registry | UKSGMP | 2026-09-26 02:17:05 | 1 | |||||||||
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Neal's DNA Mutation Site Resource Report Resource Website 1+ mentions |
Neal's DNA Mutation Site (RRID:SCR_002947) | Neal's DNA Mutation Site | data analysis software, data or information resource, data processing software, database, portal, software application, software resource, topical portal | This site provides access to mutation databases and software including the human hprt database, Human p53 database, Transgenic lacZ database, and Transgenic lacI database. Other avaialble programs include Mutational spectra comparison and relational database data entry. The most recent hprt database contains information on over 2,300 mutations found in vivo and in vitro in the human hprt gene and runs under Windows. The version for evaluation on this homepage has fewer mutations and is a DOS program. The database contains information on the mutagen, dose, spontaneous and induced mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, cell type, citation, and other items. In addition, information regarding the cause and effect of mutations affecting splicing is given. Routines have been developed for the analysis of single base substitutions. The p53 database contains information on nearly 5,867 mutations found in the human p53 gene. The database itself has been updated in April of 1997. The database contains information on the cancer type, loss of heterozygosity, base position, amino acid position, amino acid change, local DNA sequence,citation, and other items. Routines have been developed for the analysis of single base substitutions. The Transgenic lacZ database contains information on 405 mutations found in vivo in the transgenic lacZ gene. It has last been updated in January of 1998. It provides information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. The Transgenic lacI database contains information on over 1700 mutations found in vivo in the transgenic lacI gene and on nearly 8000 mutations in the lacI gene in native E. coli. The database was updated in January 1998. The database contains information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. Routines have been developed for the analysis of single base substitutions for each of the databases. The software runs only on IBM-compatible PCs. | human, mouse | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Free, Available for download, Freely available | nif-0000-02995 | SCR_002947 | SciCrunch Registry | Human p53 Human hprt Rodent lacI and Rodent lacZ Databases and Software, Human p53 Human hprt Rodent lacI and Rodent lacZ Databases, Human p53 Human hprt Rodent lacI Rodent lacZ Databases | 2026-09-26 02:17:06 | 4 | |||||||
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Asian Cancer Research Group Resource Report Resource Website 1+ mentions |
Asian Cancer Research Group (RRID:SCR_004001) | ACRG | consortium, data or information resource, data set, organization portal, portal | An independent, not-for-profit consortium to accelerate research, and improve treatment for patients affected with the most commonly-diagnosed cancers in Asia by generating a genomic data resource for the most prevalent cancers in Asia. ACRG is focusing its initial efforts on Asian liver, gastric and lung cancers. Goals * Generate comprehensive genomics data sets for Asia-prevalent cancers * Conduct all research under good clinical practices and in accordance with local laws * Uncover key mutations and pathways for developing targeted therapies * Discover molecular tumor classifiers for patient stratification * Discover prognostic markers to identify high-risk patients * Freely share resulting raw data with scientific community to empower researchers globally and enable development of new diagnostics and medicines * Publish data analysis results jointly in prominent scientific journals Over the next two years, Lilly, Merck and Pfizer have committed to create an extensive pharmacogenomic cancer database that will be composed of data from approximately 2,000 tissue samples from patients with lung and gastric cancer that will be made publicly available to researchers and, over time, further populated with clinical data from a longitudinal analysis of patients. Comparison of the contrasting genomic signatures of these cancers could inform new approaches to treatment. Lilly has assumed responsibility for ultimately providing the data to the research public through an open-source concept managed by Lilly''''s Singapore research site. Moreover, Lilly, Merck and Pfizer will each provide technical and intellectual expertise. One dataset can be found at http://gigadb.org/dataset/100034 | asia, genomics, drug discovery, liver, gastric, lung, database, whole genome-wide study, drug development, basic research, data sharing, drug, oncology, pharmacogenomic, tissue, clinical, longitudinal |
uses: Gene Expression Omnibus uses: GigaDB is listed by: Consortia-pedia is related to: Merck is related to: Pfizer Animal Genetics is related to: BGI; Shenzhen; China has parent organization: Merck |
Eli Lilly and Company ; Merck ; Pfizer |
nlx_158412 | SCR_004001 | SciCrunch Registry | 2026-09-26 02:17:07 | 1 | ||||||||
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HCV Databases Resource Report Resource Website 50+ mentions |
HCV Databases (RRID:SCR_002863) | HCV Databases | data or information resource, disease-related portal, portal, topical portal | The Hepatitis C Virus (HCV) Database Project strives to present HCV-associated genetic and immunologic data in a user-friendly way, by providing access to the central database via web-accessible search interfaces and supplying a number of analysis tools. | hcv, hepatitis c virus, hepatitis c, database, data analysis service, sequence, immunology, annotation, FASEB list |
has parent organization: HIV Databases is parent organization of: HCV Sequence Database is parent organization of: HCV Immunology Database |
Hepatitis C | NIAID | Free, Freely available | nif-0000-02944 | SCR_002863 | SciCrunch Registry | Hepatitis C Virus Database, Hepatitis C Virus Database Project, HCV Database, Hepatitis C Virus Databases, Hepatitis C Virus (HCV) Database Project | 2026-09-26 02:17:06 | 71 | |||||
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Annotation Ontology Resource Report Resource Website 1+ mentions |
Annotation Ontology (RRID:SCR_002862) | AO | controlled vocabulary, data or information resource, ontology | Provides vocabulary for performing several types of annotation - comment, entities annotation (or semantic tags), textual annotation (classic tags), notes, examples, erratum... - on any kind of electronic document (text, images, audio, tables...) and document parts. AO is not providing any domain ontology but it is fostering the reuse of the existing ones for not breaking the principle of scalability of the Semantic Web. | annotation, semantic tag, text mining, semantic web, standard |
is listed by: FORCE11 is related to: Annotea is related to: W3C Open Annotation Community Group is related to: DOMEO has parent organization: Harvard Medical School; Massachusetts; USA |
EMD Serono ; Inc. ; Eli Lilly and Company |
PMID:21624159 | Free, Freely available, Available for download | nif-0000-02943 | https://www.force11.org/node/4718 | SCR_002862 | SciCrunch Registry | AO - Annotation Ontology, annotation-ontology | 2026-09-26 02:17:06 | 1 | ||||
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Zebrafish Neurophenome Project Database Resource Report Resource Website 1+ mentions |
Zebrafish Neurophenome Project Database (RRID:SCR_004482) | ZNP | data or information resource, data repository, data set, service resource, storage service resource | Database of neurobehavioral and physiological data of adult zebrafish models, complementing the available repositories for zebrafish genetic information, by providing a dynamic, open-access data repository of comprehensive, curated collection of results from zebrafish neurobehavioral experiments. As of May 2012, it contains over 4,500 experimental results, from over 75 unique physiological and behavioral tests and 330 different drug treatments. ZNP incorporates validated and curated data from work published in this field, to improve the accessibility of current knowledge to researchers interested in using adult zebrafish models. Overall, this program will allow investigators to rapidly review data, to direct their research using these models. Data and protocol submissions are now being accepted. | zebrafish, behavior, pharmacology, psychopharmacology, drug, adult zebrafish, phenotype, model, neurobehavior, physiology |
is listed by: 3DVC has parent organization: Tulane University School of Medicine; Louisiana; USA has parent organization: Zebrafish Neuroscience Research Consortium |
Tulane University; Louisiana; USA ; NIDA DA030900-02 |
PMID:22171801 | Open-access, Please cite | nlx_143762 | http://www.tulane.edu/%E2%88%BCznpindex/search | SCR_004482 | SciCrunch Registry | ZNPdb, Zebrafish Neurophenome Project, ZNP Database, Zebrafish Neurophenome Database | 2026-09-26 02:17:07 | 2 | ||||
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ngLOC Resource Report Resource Website 10+ mentions |
ngLOC (RRID:SCR_003150) | ngLOC | analysis service resource, data analysis service, production service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.An n-gram-based Bayesian classifier that predicts subcellular localization of proteins both in prokaryotes and eukaryotes. The downloadable version of this software with source code is freely available for academic use under the GNU General Public License. | subcellular localization, protein, eukaryote, prokaryote, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:22780965 PMID:17472741 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01629, biotools:ngloc | https://bio.tools/ngloc | SCR_003150 | SciCrunch Registry | ngLOC - A Bayesian method for predicting protein subcellular localization | 2026-09-26 02:17:08 | 22 | |||||
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TreeBASE Resource Report Resource Website 500+ mentions |
TreeBASE (RRID:SCR_005688) | TreeBASE | data or information resource, data repository, database, service resource, storage service resource | Repository of phylogenetic information, specifically user-submitted phylogenetic trees and the data used to generate them. TreeBASE accepts all kinds of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. Data in TreeBASE are exposed to the public if they are used in a publication that is in press or published in a peer-reviewed scientific journal, book, conference proceedings, or thesis. Data used in publications that are in preparation or in review can be submitted to TreeBASE but will not be available to the public until they have passed peer review. | taxonomy, matrix, tree, topology, phylogeography, cladistic analysis, amino acid sequence, animal behavior, morphology, nucleotide sequence, genetics, dna, phylogeny, evolution, gene, population, web service, FASEB list |
is listed by: re3data.org is listed by: SoftCite has parent organization: NESCent - National Evolutionary Synthesis Center |
NSF DEB 9318325; NSF EF 0331654 |
Public, The community can contribute to this resource | r3d100010170, nif-0000-03587 | https://doi.org/10.17616/R3DK58 | SCR_005688 | SciCrunch Registry | TreeBASE - A Database of Phylogenetic Knowledge | 2026-09-26 02:17:08 | 813 |
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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.
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