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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NIGMS Multimedia Resource Report Resource Website |
NIGMS Multimedia (RRID:SCR_005712) | NIGMS Multimedia | data or information resource, narrative resource, podcast, video resource | As part of its multimedia outreach, the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health -- the United States'' medical research agency -- offers audio and video podcasts and other multimedia resources that explore the exciting world of basic biomedical research. | basic research, biomedical research, biomedical | has parent organization: National Institute of General Medical Sciences | NIGMS | nlx_149379 | SCR_005712 | NIGMS Media Gallery, NIGMS - Multimedia, NIGMS - Media Gallery | 2026-09-12 12:56:30 | 0 | |||||||
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TOPSAN Resource Report Resource Website 10+ mentions |
TOPSAN (RRID:SCR_005758) | TOPSAN | data or information resource, data repository, database, image collection, service resource, storage service resource | Collect, share, and distribute information about protein three-dimensional structures. It serves as a portal for the scientific community to learn about protein structures solved by SG centers, and also to contribute their expertise in annotating protein function. The premise of the TOPSAN project is that, no matter how much any individual knows about a particular protein, there are other members of the scientific community who know more about certain aspects of the same protein, and that the collective analyses from experts will be far more informative than any local group, let alone individual, could contribute. They believe that, if the members of the biological community are given the opportunity, authorship incentives, and an easy way to contribute their knowledge to the structure annotation, they would do so. Therefore, borrowing elements from successful, distributed, collaborative projects, such as Wikipedia (the free encyclopedia anyone can edit) and from other open source software development projects, TOPSAN will be a broad, collaborative effort to annotate protein structures, initially, those determined at the JCSG. They believe that the annotation of proteins solved by structural genomics consortia offers a unique opportunity to challenge the extant paradigm of how biological data is collected and distributed, and to connect structural genomics and structural biology to the entire biological research community. TOPSAN is designed to be scalable, modular and extensible. Furthermore, it is intended to be immediately useful in a simplistic way and will accommodate incremental improvements to functionality as usage becomes more sophisticated. Their annotation pages will offer the end user a combination of automatically generated as well as expert-curated annotations of protein structures. They will use available technology to increase the speed and granularity of the exchange of scientific ideas, and use incentive mechanisms that will encourage collaborative participation. | protein, structure, 3d, protein structure, protein function, annotate, crowd sourcing, image, annotation, genomics, collaboration |
has parent organization: Sanford Burnham Prebys Medical Discovery Institute has parent organization: University of California at San Diego; California; USA |
NIGMS U54 GM074898; NIGMS P20 GM076221 |
PMID:20961957 PMID:20716366 PMID:20944203 PMID:20961957 |
Creative Commons Attribution v3 License, The community can contribute to this resource | nlx_149221 | SCR_005758 | he Open Protein Structure Annotation Network, TOPSAN Project, TOPSAN - The Open Protein Structure Annotation Network | 2026-09-12 12:56:31 | 10 | |||||
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ChemHealthWeb Resource Report Resource Website |
ChemHealthWeb (RRID:SCR_005851) | ChemHealthWeb | data or information resource, narrative resource, portal, topical portal, training material, video resource | Visit ChemHealthWeb for research highlights, chemist profiles, games and videos and other Web extras. The NIGMS Chemistry of Health booklet describes basic chemistry and biochemistry research that spurs a better understanding of human health. | chemistry, health, chemistry, biochemistry, research, human, game, puzzle, chemist, molecule, medicine, teacher | has parent organization: National Institute of General Medical Sciences | NIGMS | nlx_149382 | SCR_005851 | 2026-09-12 12:56:32 | 0 | ||||||||
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Jackal Resource Report Resource Website 10+ mentions |
Jackal (RRID:SCR_008665) | software resource | Jackal is a collection of programs designed for the modeling and analysis of protein structures. Its core program is a versatile homology modeling package. It contains twelve individual programs, each with their own function. | software, software repository, modeling, analysis, protein structure |
has parent organization: Columbia University; New York; USA has parent organization: Howard Hughes Medical Institute |
NSF DBI-9904841; NIGMS 5 R37 GM30518 |
Public, Free | nif-0000-33373 | SCR_008665 | 2026-09-12 12:57:07 | 14 | ||||||||
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LAPACK linear algebra library Resource Report Resource Website 10+ mentions |
LAPACK linear algebra library (RRID:SCR_008661) | data or information resource, database, documentation generation software, software application, software development tool, software resource | This project is the SimTK Core implementation of the extremely reliable, high speed linear algebra package LAPACK and the underlying BLAS library on which LAPACK is built. It uses ATLAS to generate hand tuned BLAS kernels for a variety of hardware platforms, including multiprocessors, using a variety of operating systems including Windows, Mac, and Red Hat Linux. These platforms are pre-built and make the binaries available as a single shared library which can be conveniently used by any program. This means that users who are not experts in high performance scientific computation can nonetheless use the fastest linear algebra methods available for their machines. | BLAS, linear algebra, database |
is related to: Simtk.org has parent organization: Simtk.org is required by: TomoMiner |
NIGMS U54 GM072970 | nif-0000-33176 | SCR_008661 | LAPACK | 2026-09-12 12:57:07 | 29 | ||||||||
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Protein Subcellular Location Image Database Resource Report Resource Website |
Protein Subcellular Location Image Database (RRID:SCR_008663) | PSLID | data or information resource, data repository, data set, database, image analysis service, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017. Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging. |
protein, structure, subcellular, organelle, image, fluorescence microscope, annotation, classify, rank, cluster, subcellular localization, 3d spatial image, 2d spatial image, micrograph, content-based retrieval, green fluorescent protein |
is listed by: 3DVC is listed by: Biositemaps has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Merck Company Foundation ; NIGMS GM075205; NCI R33 CA83219; NSF MCB-8920118 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33313 | SCR_008663 | PSLID - Protein Subcellular Location Image Database, Protein Subcellular Location Image Database | 2026-09-12 12:57:07 | 0 | ||||||
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InterPro Resource Report Resource Website 5000+ mentions |
InterPro (RRID:SCR_006695) | InterPro | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | Service providing functional analysis of proteins by classifying them into families and predicting domains and important sites. They combine protein signatures from a number of member databases into a single searchable resource, capitalizing on their individual strengths to produce a powerful integrated database and diagnostic tool. This integrated database of predictive protein signatures is used for the classification and automatic annotation of proteins and genomes. InterPro classifies sequences at superfamily, family and subfamily levels, predicting the occurrence of functional domains, repeats and important sites. InterPro adds in-depth annotation, including GO terms, to the protein signatures. You can access the data programmatically, via Web Services. The member databases use a number of approaches: # ProDom: provider of sequence-clusters built from UniProtKB using PSI-BLAST. # PROSITE patterns: provider of simple regular expressions. # PROSITE and HAMAP profiles: provide sequence matrices. # PRINTS provider of fingerprints, which are groups of aligned, un-weighted Position Specific Sequence Matrices (PSSMs). # PANTHER, PIRSF, Pfam, SMART, TIGRFAMs, Gene3D and SUPERFAMILY: are providers of hidden Markov models (HMMs). Your contributions are welcome. You are encouraged to use the ''''Add your annotation'''' button on InterPro entry pages to suggest updated or improved annotation for individual InterPro entries. | protein, classify, prediction, protein domain, genome, protein family, functional site, protein sequence, protein function, analysis, nucleic acid, amino acid, amino acid sequence, gold standard |
is listed by: re3data.org is listed by: OMICtools is related to: TIGRFAMS is related to: TIGRFAMS is related to: FlyMine is related to: GeneSpeed- A Database of Unigene Domain Organization is related to: Biomine is related to: InterProScan is related to: GeneTerm Linker is related to: Gene Ontology is related to: ProDom is related to: Algal Functional Annotation Tool has parent organization: European Bioinformatics Institute |
European Union FP7 Scientific Data Repositories 213037; BBSRC BB/F010508/1; NIGMS GM081084 |
PMID:22096229 PMID:21082426 PMID:18940856 PMID:18428686 PMID:18025686 PMID:17202162 PMID:16909843 PMID:15608177 PMID:12520011 PMID:12230031 PMID:11159333 PMID:11119311 PMID:11125043 |
Acknowledgement requested, Free, Public, The community can contribute to this resource | nif-0000-03035, OMICS_01694, r3d100010798 | https://doi.org/10.17616/R3FS61 | SCR_006695 | InterPro: protein sequence analysis & classification, InterPro protein sequence analysis and classification | 2026-09-12 12:56:43 | 7722 | ||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | data access protocol, software resource, web application, web service | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NCI U24 CA159988; NIAAA U01 AA013512; NIAAA U01 AA016662; NIDA P01 DA015027; NIGMS R01 GM088822; NIMH P50 MH078028; NIMH P50 MH096972 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-09-12 12:56:45 | 3155 | ||||
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SVM-fold: Protein Fold Prediction Resource Report Resource Website |
SVM-fold: Protein Fold Prediction (RRID:SCR_006834) | SVM-fold | service resource | This web server makes predictions of family, superfamily and fold level classifications of proteins based on the Structural Classification of Proteins (SCOP) hierarchy using the Support Vector Machine (SVM) learning algorithm. SVM-FOLD detects subtle protein sequence similarities by learning from all available annotated proteins, as well as utilizing potential hits as identified by PSI-BLAST. Predictions of classes of proteins that do not have any known example with a significant pairwise PSI-BLAST E-value can still be found using SVMs. | has parent organization: University of Washington; Seattle; USA | NIGMS GM74257-01; NSF EIA-0312706 |
nlx_17631 | http://svm-fold.c2b2.columbia.edu/ | SCR_006834 | SVM-fold, Support Vector Machine fold | 2026-09-12 12:56:46 | 0 | |||||||
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HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism Resource Report Resource Website 50+ mentions |
HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) | HumanCyc | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version. | enzyme, function, functional, gene, genome, genomic, human, human genome, metabolic, metabolism, mitochondrion, nucleotide, pathway, position, reaction, sequence, metabolomics, gene expression, bioreaction, metabolic pathway, nutrition, FASEB list |
is listed by: BioCyc is related to: Pathway Commons is related to: ConsensusPathDB is related to: BioCyc is related to: Pathway Tools has parent organization: Stanford Research Institute International |
Pharmaceutical company ; NIGMS GM092729 |
PMID:15642094 | Public | r3d100011286, nif-0000-21206 | https://doi.org/10.17616/R3ZS72 | SCR_007050 | 2026-09-12 12:56:49 | 65 | |||||
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microRNA.org Resource Report Resource Website 1000+ mentions |
microRNA.org (RRID:SCR_006997) | microRNA.org | data or information resource, database, software resource | Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | microrna, gene, expression, gene regulation, FASEB list |
is listed by: OMICtools is listed by: SoftCite |
NIGMS ; Atlantic Philanthropies ; Alfred W. Bressler Scholars Endowment Fund |
PMID:18158296 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03127, OMICS_00402 | SCR_006997 | microRNA.org - Targets and Expression | 2026-09-12 12:56:48 | 2818 | |||||
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Physiobank Resource Report Resource Website 10+ mentions |
Physiobank (RRID:SCR_006949) | PhysioBank | catalog, data or information resource, data repository, database, service resource, storage service resource | Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them. | physiologic, signal, data, biomedical, research, community, cardiopulmonary, neural, biomedical, health, cardiac, death, congestive heart failure, epilepsy, gait, disorder, sleep apnea, bibliographic, normal, physiologic signal, time series, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is related to: PhysioToolkit is parent organization of: Gait in Aging and Disease Database is parent organization of: Gait in Parkinson's Disease is parent organization of: Gait Dynamics in Neuro-Degenerative Disease Data Base is parent organization of: Noise Enhancement of Sensorimotor Function |
Healthy, Sudden cardiac death, Congestive heart failure, Epilepsy, Gait disorder, Sleep apnea, Aging | NIGMS ; NIBIB U01-EB-008577 |
PMID:10851218 | Free, The community can contribute to this resource, Acknowledgement requested | nlx_48903, r3d100011236 | https://doi.org/10.17616/R3J048 | SCR_006949 | 2026-09-12 12:56:48 | 40 | ||||
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Rankprop - Protein Ranking by Network Propagation Resource Report Resource Website |
Rankprop - Protein Ranking by Network Propagation (RRID:SCR_007159) | data access protocol, service resource, software resource, source code, web service | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on May,18,2020. Ranking algorithm that exploits global network structure of similarity relationships among proteins in database by performing diffusion operation on protein similarity network with weighted edges. Source code and web server for searching non-redundant protein database. Web server ranks proteins found in NRDB40 (from PairsDB) against query sequence of amino acids using Rankprop algorithm. | Ranking algorithm, network structure, protein database, similarity relationship, protein similarity network, weighted adges, non redundat protein database, protein database search | has parent organization: University of Washington; Seattle; USA | NIGMS GM74257; NSF DBI-0243257; NSF EIA-0312706 |
PMID:16723003 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_50351 | http://rankprop.gs.washington.edu/info.php | SCR_007159 | Rankprop | 2026-09-12 12:56:50 | 0 | |||||
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Function BIRN Resource Report Resource Website 1+ mentions |
Function BIRN (RRID:SCR_007291) | FBIRN | data or information resource, portal, topical portal | The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source. | fmri, 3d model, data storage, imaging, map, morphology, mri, neuroinformatics, segmentation, software, talairach, volume, warping, analyze, application, c++, csh/tcsh, data, database, database application, data resource, dicom, javascript, linux, magnetic resonance, nifti, ontology, pl/sql, posix/unix-like, python, quality metrics, spatial transformation, statistical operation, tcl/tk, unix shell, visualization, web resource, web service, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Biomedical Informatics Research Network is parent organization of: BXH/XCEDE Tools is parent organization of: FBIRN Image Processing Scripts |
NIGMS ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
nif-0000-00070 | http://www.nitrc.org/projects/fbirn | http://nbirn.net/tools/browse_tools.shtm | SCR_007291 | Functional Imaging BIRN | 2026-09-12 12:56:52 | 2 | |||||
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Yeast snoRNA Database Resource Report Resource Website 1+ mentions |
Yeast snoRNA Database (RRID:SCR_007980) | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of S. cerevisiae H/ACA and C/D box snoRNAs, useful for research on rRNA nucleotide modifications in the ribosome, especially those created by small nucleolar RNA:protein complexes (snoRNPs). The interactive service enables a user to visualize the positions of pseudouridines, 2'-O-methylations, and base methylations in three-dimensional space in the ribosome and also in linear and secondary structure formats of ribosomal RNA. The tools provide additional perspective on where the modifications occur relative to functional regions within the rRNA and relative to other nearby modifications. This package of tools is presented as a major enhancement of an existing but significantly upgraded yeast snoRNA database. The other key features of the enhanced database include details of the base pairing of snoRNAs with target RNAs, genomic organization of the yeast snoRNA genes, and information on corresponding snoRNAs and modifications in other model organisms. | saccharomyces cerevisiae |
is related to: 3D Ribosomal Modification Maps Database has parent organization: University of Massachusetts Amherst; Massachusetts; USA |
U.S. Public Health Service ; NIGMS GM19351 |
PMID:17283215 | nif-0000-03651 | http://www.bio.umass.edu/biochem/rna-sequence/Yeast_snoRNA_Database/snoRNA_DataBase.html | SCR_007980 | Yeast snoRNA Database at UMass-Amherst | 2026-09-12 12:56:58 | 1 | ||||||
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BMAP - Brain Molecular Anatomy Project Resource Report Resource Website 1+ mentions |
BMAP - Brain Molecular Anatomy Project (RRID:SCR_008852) | BMAP | data or information resource, funding resource, portal, topical portal | The Brain Molecular Anatomy Project is a trans-NIH project aimed at understanding gene expression and function in the nervous system. BMAP has two major scientific goals: # Gene discovery: to catalog of all the genes expressed in the nervous system, under both normal and abnormal conditions. # Gene expression analysis: to monitor gene expression patterns in the nervous system as a function of cell type, anatomical location, developmental stage, and physiological state, and thus gain insight into gene function. In pursuit of these goals, BMAP has launched several initiatives to provide resources and funding opportunities for the scientific community. These include several Requests for Applications and Requests for Proposals, descriptions of which can be found in this Web site. BMAP is also in the process of establishing physical and electronic resources for the community, including repositories of cDNA clones for nervous system genes, and databases of gene expression information for the nervous system. Most of the BMAP initiatives so far have focused on the mouse as a model species because of the ease of experimental and genetic manipulation of this organism, and because many models of human disease are available in the mouse. However, research in humans, other mammalian species, non-mammalian vertebrates, and invertebrates is also being funded through BMAP. For the convenience of interested investigators, we have established this Web site as a central information resource, focusing on major NIH-sponsored funding opportunities, initiatives, genomic resources available to the research community, courses and scientific meetings related to BMAP initiatives, and selected reports and publications. When appropriate, we will also post initiatives not directly sponsored by BMAP, but which are deemed relevant to its goals. Posting decisions are made by the Trans-NIH BMAP Committee |
has parent organization: National Institutes of Health is parent organization of: BMAP cDNA Resources |
Aging | NINDS ; NIMH ; NIDA ; NEI ; NIA ; NIAAA ; NICHD ; NIDCD ; NIEHS ; NHGRI ; NIGMS |
nlx_149083 | SCR_008852 | Brain Molecular Anatomy Project, Trans-NIH Brain Molecular Anatomy Project | 2026-09-12 12:57:09 | 6 | |||||||
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map3d Resource Report Resource Website 1+ mentions |
map3d (RRID:SCR_009628) | map3d | data processing software, data visualization software, software application, software resource | A scientific visualization application written to display and edit complex, three-dimensional geometric models and scalar, time-based data associated with those models such as high resolution EEG, MEG, and ECG. | c++, eeg, meg, electrocorticography, forward - inverse, linux, macos, microsoft, modeling, posix/unix-like, visualization, win32 (ms windows), windows, windows 95/98/2000 |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Utah; Utah; USA |
NCRR 5P41RR012553-15; NIGMS 8 P41 GM103545-15 |
Map3d License | nlx_155857 | http://www.nitrc.org/projects/map3d | SCR_009628 | 2026-09-12 12:57:14 | 3 | ||||||
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Datamonkey Resource Report Resource Website 1000+ mentions |
Datamonkey (RRID:SCR_010278) | data access protocol, software resource, source code, web service | Web-based suite of phylogenetic analysis tools for use in evolutionary biology. Web application for comparative analysis of sequence alignments using statistical models. Used for analyzing evolutionary signatures in sequence data. Datamonkey 2.0 provides curated collection of methods for interrogating coding-sequence alignments for imprints of natural selection, packaged as a responsive (i.e. can be viewed on tablet and mobile devices), fully interactive, and API-enabled web application. | comparative analysis of sequence alignments, analyzing evolutionary signatures, sequence data, | has parent organization: University of California at San Diego; California; USA | Canadian Institutes of Health Research ; NIAID AI43638; NIAID AI47745; NIAID AI57167; NIGMS R01 GM093939; NIGMS U01 GM110749; NSF ; University of California at San Diego |
PMID:15713735 PMID:20671151 PMID:29301006 |
Free, Available for download, Freely available | nlx_156937 | https://github.com/veg/datamonkey-js | SCR_010278 | , Datamonkey 2.0, datamonkey.org | 2026-09-12 12:57:16 | 1260 | |||||
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TargetScan Resource Report Resource Website 10000+ mentions |
TargetScan (RRID:SCR_010845) | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | Web tool to predict biological targets of miRNAs by searching for presence of conserved 8mer, 7mer and 6mer sites that match seed region of each miRNA. Nonconserved sites are also predicted and sites with mismatches in seed region that are compensated by conserved 3' pairing. Used to search for predicted microRNA targets in mammals. | predict, biological, target, miRNA, conserved, 8mer, 7mer, site, match seed, region, nonconserved, mismatched, pair |
is listed by: OMICtools is listed by: SoftCite has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Howard Hughes Medical Institute ; NIGMS GM067031; NSF Graduate Research Fellowship |
PMID:26267216 | Free, Freely available | OMICS_00420 | http://www.targetscan.org/vert_71/ | SCR_010845 | TargetScanFly | 2026-09-12 12:57:24 | 11785 | |||||
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RNA Modification Database Resource Report Resource Website 10+ mentions |
RNA Modification Database (RRID:SCR_003535) | RNAmods | data or information resource, data repository, database, service resource, storage service resource | The RNA modification database provides a comprehensive listing of posttranscriptionally modified nucleosides from RNA. Information provided for each nucleoside includes: the type of RNA in which it occurs and phylogenetic distribution; common chemical name and symbol; Chemical Abstracts registry number and index name; chemical structure; initial literature citations for structural characterization or occurrence, and for chemical synthesis. Both the structural diversity and extent of posttranscriptional modification in RNA is remarkable, with 107 different nucleosides presently known in all types of RNA. The discovery of new modified nucleosides as well as increasing knowledge of the array of functional roles of modification, based largely on extensive studies of tRNA, mandates a need for a comprehensive database of RNA nucleosides. The RNA Modification Database is maintained as an extension of the initial version published in mid-1994. The database consists of all RNA-derived ribonucleosides of known structure, including those from established sequence positions, as well as those detected or characterized from hydrolysates of RNA. The information provided permits access to the modified nucleoside literature through provision of both computer-searchable Chemical Abstracts registry numbers and key literature citations. This database also provides an historical record of the initial reports of occurrence, characterization and chemical synthesis of modified nucleosides from RNA. It is our judgement that the total number of RNA nucleosides listed, and the chemical structures reported, are very accurate. However, the distributions listed are in some cases a matter of concern, due primarily to the possibility of inhomogeneity of the RNA isolate and the use of methods of nucleoside identification that are not sufficiently rigorous. Reinvestigation of some of the unusual or single-report source distributions is warranted, and will likely lead to future refinements in the listings. The authors invite comments concerning new entries, errors or omissions and on the format presently used for electronic access to the database. |
has parent organization: University at Albany; New York; USA has parent organization: University of Utah; Utah; USA |
NIGMS GM29812 | PMID:9399834 PMID:9016519 |
nif-0000-03414 | http://medlib.med.utah.edu/RNAmods/ | SCR_003535 | 2026-09-12 12:55:59 | 24 |
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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 RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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.
