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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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geNORM Resource Report Resource Website 5000+ mentions |
geNORM (RRID:SCR_006763) | GENORM | data processing software, data analysis software, software resource, software application | Software to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes. | reference gene, quantitative real time pcr |
is used by: RefFinder is listed by: OMICtools is listed by: SoftCite is related to: qBasePLUS has parent organization: Ghent University; Ghent; Belgium |
PMID:19131113 PMID:12519963 |
nlx_156922, OMICS_02316 | http://medgen.ugent.be/~jvdesomp/genorm/ | SCR_006763 | 2026-08-12 10:49:31 | 5414 | |||||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software toolkit, software resource | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | 2026-08-12 10:49:36 | 6 | ||||||||
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Ribosomal Database Project Resource Report Resource Website 1000+ mentions |
Ribosomal Database Project (RRID:SCR_006633) | RDP | data or information resource, resource, database | A database which provides ribosome related data services to the scientific community, including online data analysis, rRNA derived phylogenetic trees, and aligned and annotated rRNA sequences. It specifically contains information on quality-controlled, aligned and annotated bacterial and archaean 16S rRNA sequences, fungal 28S rRNA sequences, and a suite of analysis tools for the scientific community. Most of the RDP tools are now available as open source packages for users to incorporate in their local workflow. | microbiome, database, rrna gene sequence, rrna, ribosome, genome browser, high-throughput sequencing, bacteria, archaea, fungi, FASEB list |
is listed by: OMICtools is listed by: Human Microbiome Project has parent organization: Michigan State University; Michigan; USA is parent organization of: RDPipeline |
DOE DE-FG02-99ER62848; DOE DE-SC0004601; DOE DE-FC02-07ER64494; NIEHS P42 ES004911; NSF DBI-0328255; USDA 2008-35107-04542; NHLBI U01HL098961; NIDDK UH3 DK083993 |
PMID:24288368 PMID:17586664 |
Open source | r3d100012372, nif-0000-03404, OMICS_01513 | https://doi.org/10.17616/R3C087 | SCR_006633 | Ribosomal Database Project | 2026-08-12 10:49:30 | 1724 | ||||
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Diabetes in America Resource Report Resource Website |
Diabetes in America (RRID:SCR_006754) | Diabetes in America | data or information resource, resource, narrative resource, book | A compilation and assessment of epidemiologic, public health, and clinical data on diabetes and its complications in the United States. Published by the National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, the book contains 36 chapters organized in five areas: * the descriptive epidemiology of diabetes in the United States based on national surveys and community-based studies, including prevalence, incidence, sociodemographic and metabolic characteristics, risk factors for developing diabetes, and mortality * the myriad complications that affect patients with diabetes * characteristics of therapy and medical care for diabetes * economic aspects, including health insurance and health care costs * diabetes in special populations, including African Americans, Hispanics, Asian and Pacific Islanders, Native Americans, and pregnant women. Diabetes in America, 2nd Edition, has been designed to serve as a reliable scientific resource for assessing the scope and impact of diabetes and its complications, determining health policy and priorities in diabetes, and identifying areas of need in research. The intended audience includes health policy makers at the local and Federal levels who need a sound quantitative base of knowledge to use in decision making; clinicians who need to know the probability that their patients will develop diabetes and the prognosis of the disease for complications and premature mortality; persons with diabetes and their families who need sound information on which to make decisions about their life with diabetes; and the research community which needs to identify areas where important scientific knowledge is lacking. | epidemiology, prevalence, incidence, sociodemographic, metabolic, risk factor, mortality, complication, therapy, medical care, economic, health insurance, health care cost, african american, hispanic, asian, pacific islander, native american, pregnant, clinical, pdf, medical care |
is related to: NIDDK Information Network (dkNET) has parent organization: National Diabetes Information Clearinghouse |
Diabetes | NIDDK | Public, Not copyrighted. The Clearinghouse encourages users of this publication to duplicate and distribute as many copies as desired. | nlx_152695 | SCR_006754 | Diabetes in America 2nd Edition | 2026-08-12 10:49:31 | 0 | |||||
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Ligand Expo Resource Report Resource Website |
Ligand Expo (RRID:SCR_006636) | data or information resource, resource, database | An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components. | element, fingerprint, formula, amino acid, aromatic ring, atom, bound, carbon, chemical, component, depot, ligand, molecular, molecule, nitrogen, nucleic acid, nucleotide, pharmaceutical, protein, small molecule, structure, macromolecule, model |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Worldwide Protein Data Bank (wwPDB) has parent organization: Rutgers University; New Jersey; USA has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS ; NIDDK |
PMID:15059838 | nif-0000-21237, OMICS_02751 | http://ligand-depot.rutgers.edu/ | SCR_006636 | Ligand Depot | 2026-08-12 10:49:29 | 0 | ||||||
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Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project Resource Report Resource Website |
Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project (RRID:SCR_006630) | MGEIR | service resource, production service resource, data or information resource, database, analysis service resource, data analysis service, atlas, expression atlas | A unified resource that combines text-based and 3D graphical methods to store, display, and analyze mouse developmental gene expression information. The Mouse Gene Expression Information Resource resource will integrate the following components: * Gene Expression Database (GXD) - Integrates different types of expression data and provides links to many other resources to place the data into the larger biological and analytical context. * Anatomy Database - Provides the standard nomenclature for developmental anatomy. * 3D Atlas / Graphical Gene Expression Database - Provides a high-resolution digital representation of mouse anatomy reconstructed from serial sections of single embryos at each representative developmental stage enabling 3D graphical display and analysis of in situ expression data. | embryo, gene expression, gene, 3d, anatomy, atlas, biological, developmental, high-resolution, in situ, mouse, nomenclature, development, developmental stage, embryonic mouse, image |
is related to: Gene Expression Database is related to: eMouseAtlas has parent organization: Mouse Genome Informatics (MGI) |
MRC ; BBSRC ; European Science Foundation ; NICHD HD062499 |
nif-0000-10305 | SCR_006630 | Gene Expression Information Resource, Mouse Gene Expression Information Resource Project | 2026-08-12 10:49:29 | 0 | |||||||
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Genomes Unzipped Resource Report Resource Website |
Genomes Unzipped (RRID:SCR_006870) | Genomes Unzipped | data or information resource, narrative resource, source code, data set, blog, software resource | A group blog providing expert, independent commentary on the personal genomics industry. The goal of the project is to provide genetic testing consumers with independent and informed analysis of developments in the field of genetics and the genetic testing industry. Members of Genomes Unzipped include active researchers in various fields of genetics, as well as specialists in the legal and public health issues surrounding new genomic technologies. Many of us have also been extensively involved in public communication about genetics. Members of the group have had their DNA tested with a variety of products. We have released all of these genetic data openly to the public, both as raw data and in a custom genome browser. As the project proceeds we plan to obtain more genetic tests ����?? up to and including whole genome sequencing ����?? and to continue to release these data to the world. The group is also performing analyses of our own raw genetic data to illustrate fundamental concepts in genetics, using software written both by group members and other collaborators; and we����??ll be releasing the code for that software in our new code repository. As the project expands, we����??ll be looking to add data from other volunteers to the project, as well as to collaborate with other ����??genome hackers����?? on the development of new tools for exploring genetic data. | genomics, genetics, dna, sequencing |
is used by: NIF Data Federation is used by: Integrated Blogs is listed by: OMICtools |
Except where otherwise specified, Creative Commons Attribution-ShareAlike License, v3 Unported, Genomes Unzipped project genetic data, Is made available under, CC0 | OMICS_01831, nlx_144200 | SCR_006870 | 2026-08-12 10:49:35 | 0 | ||||||||
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PhysioToolkit Resource Report Resource Website 1+ mentions |
PhysioToolkit (RRID:SCR_006868) | PhysioToolkit | software repository, software application, source code, data processing software, time-series analysis software, software resource, data analysis software, signal processing software | Growing library of software for physiologic signal processing and analysis, detection of physiologically significant events using both classical techniques and novel methods based on statistical physics and nonlinear dynamics, interactive display and characterization of signals, creation of new databases, simulation of physiologic and other signals, quantitative evaluation and comparison of analysis methods, and analysis of nonequilibrium and nonstationary processes. A unifying theme of the research projects that contribute software to PhysioToolkit is the extraction of hidden information from biomedical signals, information that may have diagnostic or prognostic value in medicine, or explanatory or predictive power in basic research. Contributions of software to PhysioToolkit are welcome, http://physionet.org/guidelines.shtml#software-contributions | signal processing, analysis, matlab, wfcb, data visualization, data mining, model, simulation, deidentification, data import, data export | is related to: Physiobank | PMID:10851218 | GNU General Public License, The community can contribute to this resource | nlx_152537 | SCR_006868 | 2026-08-12 10:49:33 | 5 | |||||||
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Surveillance Epidemiology and End Results Resource Report Resource Website 5000+ mentions |
Surveillance Epidemiology and End Results (RRID:SCR_006902) | SEER | report, data or information resource, database, narrative resource, data set | SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users. | cancer, statistics, epidemiology, registry, mortality, cancer mortality, african-american, hispanic, american-indian, alaska native, asian, hawaiian, pacific islander, demographic, tumor site, tumor morphology, stage, treatment, follow-up, vital status, FASEB list |
is listed by: re3data.org is related to: SEER*Stat is related to: NCI SEER Cancer Stage Variable Documentation is related to: SEER Datasets and Software is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Comorbidity SAS Macros is related to: NCI Division of Cancer Control and Population Sciences SEER-Medicare Linked Data Resource has parent organization: National Cancer Institute |
Cancer, Leukemia | NCI | nif-0000-21366, r3d100010884 | SCR_006902 | Surveillance Epidemiology and End Results (SEER) Program, Surveillance Epidemiology End Results, Surveillance Epidemiology End Results (SEER) Program | 2026-08-12 10:49:36 | 6215 | ||||||
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Virginia Commonwealth University Medical Center, Center for Molecular Imaging Resource Report Resource Website |
Virginia Commonwealth University Medical Center, Center for Molecular Imaging (RRID:SCR_006869) | portal, data or information resource, medical school program resource, degree granting program, training resource, job resource, organization portal | The Center for Molecular Imaging integrates molecular imaging and molecular medicine with systems biology approaches to understand disease complexity, promising to provide predictive, preventative and personalized medicine that will transform health care. The multi-modality molecular imaging program is composed of individual but overlapping research themes with specific projects under each theme. As all projects are underpinned by methodology development in the chemistry, biology, physics and bioengineering of imaging, there is always a strong overlap and cross feed in terms of methods and assays. The research themes include: * Biomarker pharmacodynamic imaging of metabolism, proliferation, cell death and vascular perfusion * Molecular genetic imaging in developing multi-modal reporter gene-based probes * Molecular imaging of angiogenesis and its relation to tumor hypoxia * Multi-modal nanoparticle probes for drug delivery and molecular imaging, including cell and immune-based therapies * Radiolabeled drug pharmacokinetics and studies of drug discovery and structural biology using molecular imaging strategies * Development of nanotechnology molecular imaging systems * Imaging proteomic mass spectrometry * Molecular imaging and molecular pathology diagnostic research The Center for Molecular Imaging fosters collaborative research, bringing together the advances being made in technology-driven research such as bioengineering, chemical genomics and nanotechnology with biomedical research groups studying cell and molecular biology and radiobiology, biologically targeted therapeutics, immuno-based mechanisms, and drug and biomarker discovery. The aim is to develop and validate multi-modality molecular imaging tools that will facilitate the advancement of translational medicine and clinical science research in oncology and neuroscience as well as other clinical research areas. The center is equipped with laboratories for radiochemistry, analytical chemistry, molecular biology, nanotechnology and animal imaging, as well as a dedicated facility for translational clinical imaging. Imaging technologies within the center include Positron Emission Tomography/Computed Tomography (preclinical and clinical), Single Photon Emission Computed Tomography, optical imaging, autoradiography and multi-modality nanotechnology imaging. Molecular probe developments underpin the biological and biomedical research conducted using the above modalities. | analytical chemistry, a ngiogenesis, animal, autoradiography, bioengineering, biology, biomedical, chemical genomics, chemistry, disease, medicine, metabolism, molecular biology, nanotechnology, neuroscience, oncology, optical imaging, pathology, pharmacokinetic, physics, positron emission tomography, proteomic mass spectrometry, radiobiology, radiochemistry, single photon emission computed tomography, translational | nif-0000-10545 | SCR_006869 | VCU CMI | 2026-08-12 10:49:33 | 0 | ||||||||||
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MatOFF Resource Report Resource Website 1+ mentions |
MatOFF (RRID:SCR_006821) | MatOFF | source code, software application, data processing software, software resource, data analysis software | An interactive analysis program that searches neurophysiological data and plots the results. MatOFF was developed especially for dealing with the complexities common to behavioral neurophysiological experiments. It runs under Windows 2000 or XP and relies on MATLAB version R11.1 (or above) for all operations. MatOFF searches a data file to locate and plot epochs (trials) of special interest to the investigator. Appropriate input data files have time-stamped event codes, usually including neuron action potential firing events (spikes), and digitized analog data. The user specifies a list of event code numbers that uniquely identify a sequence of events. MatOFF uses this sequence to search the raw data file, select the epochs that meet the criteria, time-shift the trials to align them on a common event, order the epochs based on user-selected criteria, and plot the results based on a collection of page formatting specifications. MatOFF will also save extracted data and some statistics to disk. Features: * Powerful, interactive searching tools for locating relevant experimental events * Compatible with Cortex data acquisition program * Compatible with Plexon data acquisition system * Flexible, publication-quality graphical display and printing * Comprehensive scripting language * Supports learning and other dynamic behavior * Integrated interface to MATLAB functions * Automatic alignment of trial data and generation of histograms * Large variety of options for selecting and ordering trial data * Descriptive and non-parametric statistics * XY analog displays * Data export with flexible format control * Up to 72 plots per page * Display templates can be saved and reloaded * Free for public or private use * Adaptable to almost any data file format | neurophysiology, behavioral neurophysiology, behavior, electrophysiology, matlab | has parent organization: NIMH CORTEX | NIMH | nlx_143876 | SCR_006821 | NIMH MatOFF | 2026-08-12 10:49:32 | 3 | |||||||
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BMDExpress Resource Report Resource Website 10+ mentions |
BMDExpress (RRID:SCR_006823) | BMDExpress | data processing software, data analysis software, software resource, software application | Bioinformatics tool used to analyze microarray dose-response data. The analysis provides benchmark dose estimates at which different cellular processes are altered in toxicogenomic experiments. | bioinformatics, microarray, software, toxicogenomics |
is related to: The Hamner Institute for Health Sciences: BMDExpress and The multiple-path particle dosimetry has parent organization: SourceForge |
MIT License | nlx_152743 | SCR_006823 | 2026-08-12 10:49:32 | 38 | ||||||||
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PeptideAtlas Resource Report Resource Website 500+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | service resource, data or information resource, database, data repository, storage service resource | Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database. | proteomics, peptide, mass spectrometry, annotation, eukaryotic, genome, peptide sequence, high-throughput mass spectrometry, ensembl, peptideprophet, protein sequence, blood plasma, protein, eukaryotic cell, dna, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: ProteomeXchange 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: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: ProteomeXchange is related to: NIH Data Sharing Repositories is related to: Integrated Manually Extracted Annotation has parent organization: Institute for Systems Biology; Washington; USA |
NCI ; NHGRI ; NIGMS |
PMID:20013378 PMID:23215161 PMID:16381952 PMID:15642101 |
Public, The community can contribute to this resource, Acknowledgement requested | nif-0000-03266, r3d100010889, biotools:peptideatlas | https://bio.tools/peptideatlas, https://doi.org/10.17616/R3BK61 | SCR_006783 | Peptide Atlas, PeptideAtlas | 2026-08-12 10:49:31 | 511 | ||||
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Rice Genome Annotation Resource Report Resource Website 1000+ mentions |
Rice Genome Annotation (RRID:SCR_006663) | Osa1 | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Database and resource that provides sequence and annotation data for the rice genome. This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. All structural and functional annotation is viewable through our Rice Genome Browser which currently supports 75 tracks of annotation. Enhanced data access is available through web interfaces, FTP downloads and a Data Extractor tool developed in order to support discrete dataset downloads. Rice is a model species for the monocotyledonous plants and the cereals which are the greatest source of food for the world''s population. While rice genome sequence is available through multiple sequencing projects, high quality, uniform annotation is required in order for genome sequence data to be fully utilized by researchers. The existence of a common gene set and uniform annotation allows researchers within the rice community to work from a common resource so that their results can be more easily interpreted by other scientists. The objective of this project has always been to provide high quality annotation for the rice genome. They generated, refined and updated gene models for the estimated 40,000-60,000 total rice genes, provided standardized annotation for each model, linked each model to functional annotation including expression data, gene ontologies, and tagged lines. They have provided a resource to extend the annotation of the rice genome to other plant species by providing comparative alignments to other plant species. Analysis/Tools are available including: BLAST, Locus Name Search, Functional Term Search, Protein Domain Search, Anatomy Expression Viewer, Highly Expressed Genes | rice, oryza sativa, maize, corn, zea mays, wheat, triticum aestivum, gene, genome, annotation, FASEB list |
is listed by: OMICtools has parent organization: Michigan State University; Michigan; USA |
NSF DBI-0321538; NSF DBI-0834043 |
PMID:17145706 | Acknowledgement requested | OMICS_01563, nif-0000-31459 | http://rice.tigr.org | http://rice.plantbiology.msu.edu/pseudomolecules/info.shtml | SCR_006663 | Rice Genome Annotation Project, MSU Rice Genome Annotation Project Database and Resource | 2026-08-12 10:49:29 | 1600 | |||
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GtRNAdb - Genomic tRNA Database Resource Report Resource Website 100+ mentions |
GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) | GtRNAdb | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies. | trna, trna gene prediction, genome, gene, isotype, genetic locus, blast, secondary structure, sequence alignment, fasta, seq, eukaryotic, microbial, primary sequence, phylogenetic group, FASEB list | has parent organization: University of California at Santa Cruz; California; USA | Hewlett-Packard | PMID:18984615 | nif-0000-02932 | SCR_006939 | Genomic tRNA Database | 2026-08-12 10:49:33 | 381 | ||||||
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Europhenome Mouse Phenotyping Resource Resource Report Resource Website 10+ mentions |
Europhenome Mouse Phenotyping Resource (RRID:SCR_006935) | EuroPhenome | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Open source software system for capturing, storing and analyzing raw phenotyping data from SOPs contained in EMPReSS, it provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centers. Mutants of interest can be identified by searching the gene or the predicted phenotype. You can also access phenotype data from the EMPReSSlim Pipeline for inbred mouse strains. Initially EuroPhenome was developed within the EUMORPHIA programme to capture and store pilot phenotyping data obtained on four background strains (C57BL/6J, C3H/HeBFeJ, BALB/cByJ and 129/SvPas). EUMORPHIA (European Union Mouse Research for Public Health and Industrial Applications) was a large project comprising of 18 research centers in 8 European countries, with the main focus of the project being the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. The current version of EuroPhenome is capturing data from the EUMODIC project as well as the WTSI MGP, HMGU GMC pipeline and the CMHD. EUMODIC is undertaking a primary phenotype assessment of up to 500 mouse mutant lines derived from ES cells developed in the EUCOMM project as well as other lines. Lines showing an interesting phenotype will be subject to a more in depth assessment. EUMODIC is building upon the comprehensive database of standardized phenotyping protocols, called EMPReSS, developed by the EUMORPHIA project. EUMODIC has developed a selection of these screens, called EMPReSSslim, to enable comprehensive, high throughput, primary phenotyping of large numbers of mice. Phenovariants are annotated using a automated pipeline, which assigns a MP term if the mutant data is statistically different to the baseline data. This data is shown in the Phenomap and the mine for a mutant tool. Please note that a statistically significant result and the subsequent MP annotation does not necessarily mean a true phenovariant. There are other factors that could cause this result that have not been accounted for in the analysis. It is the responsibility of the user to download the data and use their expert knowledge or further analysis to decide whether they agree or not. EuroPhenome is primarily based in the bioinformatics group at MRC Harwell. The development of EuroPhenome is in collaboration with the Helmholtz Zentrum Munchen, Germany, the Wellcome Trust Sanger Institute, UK and the Institut Clinique de la Souris, France. | phenotype, gene, mutant mouse strain, inbred mouse strain, annotation, ortholog, high-throughput, phenovariant, disorder, c57bl/6j, c3h/hebfej, balb/cbyj, 129/svpas |
is related to: European Mouse Phenotyping Resource of Standardised Screens is related to: OMIM is related to: Understanding Human Disease Through Mouse Genetics is related to: European Conditional Mouse Mutagenesis Program is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: MRC Mammalian Genetics Unit |
European Union FP6 contract LSHG-CT-2006-037188; MRC ; National Genome Research Network |
PMID:19933761 PMID:17905814 |
Open unspecified license, Acknowledgement requested | nif-0000-30535 | SCR_006935 | 2026-08-12 10:49:36 | 19 | ||||||
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Scalable Brain Atlas Resource Report Resource Website 10+ mentions |
Scalable Brain Atlas (RRID:SCR_006934) | SBA | service resource, data or information resource, software application, software resource, atlas, reference atlas | A web-based, interactive brain atlas viewer, containing a growing number of atlas templates for various species, including mouse, macaque and human. Standard features include fast brain region lookup, point and click to select a region and view its full 3D extent, mark a stereotaxic coordinate and view all regions in a hierarchy. Built-in extensions are the CoCoMac plugin, which provides a spatial display of Macaque connectivity, and a service to transform stereotaxic coordinates to and from the INCF Waxholm space for the mouse. Three dimensional renderings of brain regions are available through a Matlab interface (local installation of Matlab required). The SBA is designed to be customizable. External users can create plugins, hosted on their own servers, to interactively attach images or data to spatial atlas locations. This fully web-based display engine for brain atlases and topologies allows client websites to show brain region related data in a 3D interactive context. Currently available atlases are: * Macaque: The Paxinos Rhesus Monkey atlas (2000) * Macaque: Various templates available through Caret, registered to F99 space: Felleman and Van Essen (1991), Lewis and Van Essen (2000), Regional Map from K��tter and Wanke (2005), Paxinos Rhesus Monkey (2000) * Macaque: The NeuroMaps Macaque atlas (2008) * Mouse: The INCF Waxholm Space for the mouse (2011). Previous versions available. * Mouse: The Allen Mouse Brain volumetric atlas (ABA07) * Human: The LPBA40 parcellation, registered to SRI24 space A variety of services are being developed around the templates contained in the Scalable Brain Atlas. For example, you can include thumbnails of brain regions in your own webpage. Other applications include: * Analyze atlas templates in Matlab * List all regions belonging to the given template * List of supported atlas templates * Find region by coordinate * Color-coded PNG (bitmap) or SVG (vector) image of a brain atlas slice * Region thumbnail in 2D (slice) or 3D (stack of slices) The Scalable Brain Atlas is created by Rembrandt Bakker and Gleb Bezgin, under supervision of Rolf K��tter in the NeuroPhysiology and -Informatics group of the Donders Institute, Radboud UMC Nijmegen. | atlas application, atlas data, image display, javascript, magnetic resonance, os independent, php, three dimensional display, tractography, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CoCoMac is related to: 3DBar has parent organization: International Neuroinformatics Coordinating Facility |
International Neuroinformatics Coordinating Facility | GNU General Public License | nlx_98156 | http://www.nitrc.org/projects/sba | SCR_006934 | INCF Scalable Brain Atlas | 2026-08-12 10:49:33 | 22 | |||||
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AutismKB Resource Report Resource Website 10+ mentions |
AutismKB (RRID:SCR_006937) | AutismKB | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities. | gene, copy number variation, linkage region, genome-wide association study, family-based association study, case-control association study, expression profile, blast, syndromic, non-syndromic, snp, vntr, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
Autism spectrum disorder, Autism | Merck ; Johnson and Johnson ; Natural Science Foundation of China 31025014; Natural Science Foundation of China 2011CBA01102 |
PMID:22139918 | biotools:autismkb, nlx_151318 | https://bio.tools/autismkb | SCR_006937 | Autism Knowledgebase | 2026-08-12 10:49:34 | 34 | ||||
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NC-IUPAC Resource Report Resource Website 1+ mentions |
NC-IUPAC (RRID:SCR_006655) | NC-IUPAC | data or information resource, database, narrative resource, standard specification, international standard specification | This site is intended primarily to provide information on IUPAC nomenclature recommendations (Organic & Biochemical Nomenclature, Symbols & Terminology etc.). As the author has been primarily involved in the preparation of organic and biochemical material most work will be in that field. Other material will be provided as it becomes available, either from this site or by links to other locations. |
is related to: ExplorEnz has parent organization: Queen Mary University of London; London; United Kingdom has parent organization: IUPAC |
nif-0000-03055 | SCR_006655 | IUPAC Nomenclature Database, IUPAC Nomenclature database, IUPAC Nomenclature, International Union of Pure and Applied Chemistry Nomenclature | 2026-08-12 10:49:29 | 2 | |||||||||
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Descriptions of Plant Viruses Resource Report Resource Website 10+ mentions |
Descriptions of Plant Viruses (RRID:SCR_006656) | data or information resource, topical portal, database, portal | DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. For comparative purposes, it also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA genome. The start and end positions of each feature (gene, non-translated region and the like) have been recorded and checked for accuracy. As far as possible, nomenclature for genes and proteins are standardized within genera and families. Sequences of features (either as DNA or amino acid sequences) can be directly downloaded from the website in FASTA format. The sequence information can also be accessed via client software for PC computers (freely downloadable from the website) that enable users to make an easy selection of sequences and features of a chosen virus for further analyses. The public sequence databases contain vast amounts of data on virus genomes but accessing and comparing the data, except for relatively small sets of related viruses can be very time consuming. The procedure is made difficult because some of the sequences on these databases are incorrectly named, poorly annotated or redundant. The NCBI Reference Sequence project (1) provides a comprehensive, integrated, non-redundant set of sequences, including genomic DNA, transcript (RNA) and protein products, for major research organisms. This now includes curated information for a single sequence of each fully sequenced virus species. While this is a welcome development, it can only deal with complete sequences. An important feature of DPV is the opportunity to access genes (and other features) of multiple sequences quickly and accurately. Thus, for example, it is easy to obtain the nucleotide or amino acid sequences of all the available accessions of the coat protein gene of a given virus species or for a group of viruses. To increase its usefulness further, DPVweb also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA (ssDNA) genome. Sponsors: This site is supported by the Association of Applied Biologists and the Zhejiang Academy of Agricultural Sciences, Hangzhou, People''s Republic of China. | family, fungi, gene, amino acid, comparative, development, dna, genome, genomic, genus, nomenclature, non-translated, nucleotide, organism, plant, product, protein, protozoa, region, rna, satellite, sequence, single, specie, taxonomic, transcript, viral databases, viroid, virus, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-21127, biotools:dpvweb | https://bio.tools/dpvweb | SCR_006656 | DPV | 2026-08-12 10:49:31 | 15 |
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