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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PhosPhAt Resource Report Resource Website 50+ mentions |
PhosPhAt (RRID:SCR_003332) | PhosPhAt | database, production service resource, data repository, storage service resource, data analysis service, data or information resource, service resource, analysis service resource | Database containing information on Arabidopsis phosphorylation sites which were identified by mass spectrometry in large scale experiments from different research groups. Specific information on the peptide properties as well as on the experimental and analytical context is given. The PhosPhAt service has a built-in plant specific phosphorylation site predictor trained on the experimental dataset for Serine, threonine and tyrosine phosphorylation (pSer, pThr, pTyr). Protein sequences or Arabidopsis AGI gene identifier can be submitted to the predictor. Users and researchers are encouraged to assist in keeping the database current by submitting either published data or unpublished data (MS/MS data required). | phosphorylation, peptide, function, mass spectrometry, kinase, serine, threonine, tyrosine, phosphoprotein, phosphopeptide, tryptic phosphopeptide, serine phosphosite, threonine phosphosite, tyrosine phosphosite, FASEB list | has parent organization: University of Hohenheim; Baden-Wurttemberg; Germany | PMID:23172287 PMID:19880383 PMID:17984086 |
Free, Freely available | nif-0000-03277 | http://phosphat.mpimp-golm.mpg.de/app.html | SCR_003332 | Arabidopsis Protein Phosphorylation Site Database | 2026-08-15 11:22:31 | 62 | |||||
|
IMOD Resource Report Resource Website 1000+ mentions |
IMOD (RRID:SCR_003297) | IMOD | image analysis software, image processing software, data processing software, software application, software resource, source code | A free, cross-platform set of image processing, modeling and display programs used for tomographic reconstruction and for 3D reconstruction of EM serial sections and optical sections. The package contains tools for assembling and aligning data within multiple types and sizes of image stacks, viewing 3-D data from any orientation, and modeling and display of the image files. IMOD 4.1.8 Is Now Available for Linux, Windows, and Mac OS X | electron microscopy, magnetic resonance, tomographic reconstruction, reconstruction, segmentation, 3d volume |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: SoftCite has parent organization: University of Colorado Boulder; Colorado; USA |
NCRR ; NIGMS ; NIBIB |
PMID:27444392 | Free, Available for download, Freely available | nif-0000-31686 | http://www.nitrc.org/projects/imod | SCR_003297 | IMOD - 3D Reconstruction and Analysis | 2026-08-15 11:22:28 | 1685 | ||||
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Chemical Information Ontology Resource Report Resource Website 1+ mentions |
Chemical Information Ontology (RRID:SCR_003290) | CHEMINF | ontology, data or information resource, controlled vocabulary | An ontology that aims to establish a standard in representing chemical information including chemical structure and the ability to richly describe chemical properties, whether intrinsic or computed. It includes terms for the descriptors commonly used in cheminformatics software applications and the algorithms which generate them. | owl, biochemistry, chemistry, chemical structure, chemical property, structure, property, molecular |
is listed by: BioPortal is listed by: OBO is listed by: Google Code has parent organization: European Bioinformatics Institute |
PMID:21991315 | Free, Available for download, Freely available | nlx_157362 | http://purl.bioontology.org/ontology/CHEMINF, http://semanticchemistry.googlecode.com/svn/trunk/ontology/cheminf.owl | SCR_003290 | 2026-08-15 11:22:27 | 2 | ||||||
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Amplicon Resource Report Resource Website 1000+ mentions |
Amplicon (RRID:SCR_003294) | Amplicon | software resource | Software tool for designing PCR primers on aligned groups of DNA sequences. The most important application is the design of "group-specific" PCR primer sets that amplify a DNA region from a given taxonomic group but do not amplify orthologous regions from other taxonomic groups. It is written in Python 2.3 and Tkinter 8.4. The current script was created for Windows and an executable is available. Future versions of the script should be able to run on Linux and Mac | python, pcr primer, pcr, primer, tkinter, windows, dna sequence |
is listed by: OMICtools has parent organization: SourceForge |
PMID:14962918 | Free, Available for download, Freely available | OMICS_02329 | http://www.aad.gov.au/amplicon | SCR_003294 | 2026-08-15 11:22:28 | 1955 | ||||||
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Glioma Molecular Dignostic Initiatives Resource Report Resource Website 10+ mentions |
Glioma Molecular Dignostic Initiatives (RRID:SCR_003329) | GMDI | data repository, standard specification, storage service resource, controlled vocabulary, data or information resource, service resource, narrative resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. An initiative to develop a molecular classification schema that is both clinically and biologically meaningful, based on gene expression and genomic data from tumors (Gliomas) of patients who will be prospectively followed through natural history and treatment phase of their illness. The study will also explore gene expression profiles to determine the responsiveness of the patients and correlate with discrete chromosomal abnormalities. The initiative was designed to obtain a large amount of molecular data on DNA and RNA of freshly collected tumor samples that were collected, processed and analyzed in a standardized fashion to allow for large-scale cross sample analysis. The sample collection is accompanied by careful and prospective clinical data acquisition, allowing a variety of matched molecular and clinical data permitting a wide variety of analyses. GMDI has accrued fresh frozen tumors in the retrospective phase (all from the Henry Ford Hospital, without germline DNA) and fresh frozen tumors in the prospective phase (from a variety of institutions). In addition to characterizing the samples from patients enrolled in GMDI, the microarray group has generated genomic-scale analyses of the many human and canine glioma initiating cells/glioma stem cells (GIC/GSC) lines, as well as many canine and murine normal neural stem cell (NSC) lines produced in laboratory. | molecular neuroanatomy resource, molecular data, clinical data, genomic analyses, genomics, gene, expression array, snp array, gene expression, microarray, glioma initiating cell, glioma stem cell, protein, glioma, molecular, diagnostic, dna, rna, tumor, tissue, blood, plasma, data repository |
is listed by: One Mind Biospecimen Bank Listing is related to: Repository of molecular brain neoplasia data has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31950 | http://search.engrant.com/project/NxvG9G/the_glioma_molecular_diagnostic_initiative_characterizing_brain_tumor_data | SCR_003329 | Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor Data | 2026-08-15 11:22:28 | 20 | ||||
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O-GLYCBASE Resource Report Resource Website 10+ mentions |
O-GLYCBASE (RRID:SCR_003288) | O-GlycBase | database, data repository, storage service resource, data or information resource, service resource | Revised database of O- and C-glycosylated proteins. The criteria for inclusion are at least one experimentally verified O- or C-glycosylation site. Each entry contains information about the glycan involved, the species, sequence, a literature reference and http-linked cross-references to other databases. Version 6.00 has 242 glycoprotein entries. The terminal sugar linked to serine or threonine is cited when known. The database is non-redundant in the sense that it contains no identical sequences, unless there is conflicting glycosylation data. Mucins have tandem repeat sequences, which are O-glycosylated. This result in some redundancy of the O-glycosylation sites. For prediction purposes they have also included a version of the database which contains no identical O-glycosylation sites (window=9) called O-Unique.seq. Data can no longer be retrieved by anonymous ftp. Only http is supported. New data, comments and suggestions are welcome. | glycosylated protein, glycoprotein, serine, threonine, o-glycosylation site, c-glycosylation site, carbohydrate, o-glycan, asparagine, glycosylation, glycan | has parent organization: DTU Center for Biological Sequence Analysis | PMID:9847232 | Free, Freely available | nif-0000-03209 | http://www.cbs.dtu.dk/databases/OGLYCBASE/ | SCR_003288 | 2026-08-15 11:22:30 | 12 | ||||||
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Nuclear Receptor Resource Resource Report Resource Website 1+ mentions |
Nuclear Receptor Resource (RRID:SCR_003285) | NRR | data or information resource, resource, database | Collection of individual databases on members of the steroid and thyroid hormone receptor superfamily. Although the databases are located on different servers and are managed individually, they each form a node of the NRR. The NRR itself integrates the separate databases and allows an interactive forum for the dissemination of information about the superfamily. NRR Components: Androgen receptor, Estrogen receptor, Glucocorticoid receptor, Peroxisome proliferator, Steroid receptor protein, Thyroid receptor, Vitamin D receptor. | nuclear receptor, androgen receptor, estrogen receptor, glucocorticoid receptor, peroxisome proliferator, steroid receptor protein, thyroid receptor, vitamin d receptor, androgen, estrogen, glucocorticoid, peroxisome, steroid, thyroid hormone, vitamin d, mineralocorticoid receptor, mineralocorticoid, protein, structure, function |
is related to: NIDDK Information Network (dkNET) has parent organization: Georgetown University; Washington D.C.; USA |
NIDDK R01DK43382; NIDDK K04 DK02105 |
PMID:9471621 PMID:9016529 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03205 | http://nrr.georgetown.edu/NRR/nrrhome.htm | SCR_003285 | Nuclear Receptor Resource Project, NRR Project, Nuclear Receptor Resource (NRR) Project | 2026-08-15 11:22:27 | 1 | ||||
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Xenbase Resource Report Resource Website 100+ mentions |
Xenbase (RRID:SCR_003280) | XenBase | image repository, database, data repository, storage service resource, data or information resource, service resource | Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics. | molecular neuroanatomy resource, dna target, protein target, gene, genome, function, sequence, orthology, publication, gene expression, model organism, genomics, development, annotation, blast, development stage, publication, in situ hybridization, immunohistochemistry, video resource, organism-related portal, experimental protocol, organism supplier, data analysis service, developmental stage, gold standard, bio.tools, FASEB list, RRID Community Authority |
is listed by: OMICtools is listed by: One Mind Biospecimen Bank Listing is listed by: bio.tools is listed by: Debian is related to: Bgee: dataBase for Gene Expression Evolution has parent organization: University of Calgary; Alberta; Canada is parent organization of: Xenopus Anatomy Ontology |
NICHD R01 HD045776; NICHD P41 HD064556 |
PMID:23125366 PMID:19884130 PMID:36755307 |
Free, Available for download, Freely available | biotools:xenbase, OMICS_01665, nif-0000-01286, r3d100010279 | http://www.xenbase.org/entry/, https://bio.tools/xenbase, https://doi.org/10.17616/R3MP4S | SCR_003280 | Xenbase: Xenopus laevis and tropicalis biology and genomics resource | 2026-08-15 11:22:30 | 484 | ||||
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Psychoactive Drug Screening Program Ki Database Resource Report Resource Website 10+ mentions |
Psychoactive Drug Screening Program Ki Database (RRID:SCR_003281) | Ki DB | database, data repository, storage service resource, data or information resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Database of information on the abilities of drugs to interact with an expanding number of molecular targets. It serves as a data warehouse for published and internally-derived Ki, or affinity, values for a large number of drugs and drug candidates at an expanding number of G-protein coupled receptors, ion channels, transporters and enzymes. The query interface is designed to let you search by any field, or combination of them to refine your search criteria. The flexible user interface also provides for customized data mining. The database is regularly updated. If you know of Ki data you would like to add, you can select Direct Ki Entry at the grey panel. If you would like, however, your own data (published or not) added, Send them a Reference at the grey panel, or send an email to Dr. Bryan Roth or Estela Lopez. Most common targets: 5-HT2A, DOPAMINE D1, DOPAMINE D2, 5-HT2C, 5-HT1A, Cholinergic, muscarinic M1, 5-HT Transporter, HISTAMINE H1, 5-HT2B, OPIOID Mu, 5-HT6, adrenergic Beta2, 5-HT7, OPIATE Delta, adrenergic Alpha1A, OPIOID Kappa, 5-HT3, m-AChR, adrenergic Beta1, adrenergic Alpha2A, 5-HT1, Acetylcholinesterase, AChE, Thromboxane A2, n-AChR, Opiate non-selective, CANNABINOID CB1, HERG, Dopamine, cocaine site, adrenergic Alpha2C, M3, Norepinephrine Uptake, Monoamine Oxidase A, Monoamine Oxidase B, 5-HT4, adrenergic Alpha1, 5-HT1E, B1 BRADYKININ, 5-HT2, 5-HT2C-INI, DOPAMINE D4, ANGIOTENSIN AT1, Neurokinin NK1, HISTAMINE H3, Sigma-1, VIP, Dopamine2-like, metabotropic glutamate 5, 5-HT2c VGI, Carbonic Anhydrase Isozymes, CA I, DOPAMINE D2 Long, adrenergic Alpha2, adrenergic Alpha2B, adrenergic Alpha2D, GABA A alpha1, CANNABINOID CB2, adrenergic Alpha1B, 5-HT5a, Melatonin, HISTAMINE H4, NMDA, 5-HT4a, Glucocorticoid, Interleukin 1-beta, Sodium Channel, Benzodiazepine central, Cholinergic, muscarinic M5, Neuropeptide Y1, GABA A alpha5, Galanin R2, Neurokinin NK3, 5-HT1B, M2, DOPAMINE D3, Angiotensin, Dopamine1-like, Neurokinin NK2, adrenergic Beta, Dopamine D1 high, Dopamine D1A, MAP kinase, ADENOSINE A2a, 5-HT7b, Nitrogen oxide synthase - neuronal, Sigma-2, CDK2, Neurotensin 2, DOPAMINE D2 Short, Multidrug Resistance Transporter MDR 1, GABA A Benzodiazepine, VEGF-R2, OPIATE Mu 2, Angiotensin II AT1, HISTAMINE H2, Angiotensin-converting enzyme, ACE, Sigma, beta-amyloid, ADENOSINE, ADENOSINE A2B, Adrenaline, Neurotensin 1 | gpcr, ki, 5-ht transporter, 5-ht2a, dopamine d2, dopamine d1, 5-ht1a, m1, dopamine transporter, opiate mu, histamine h1, adrenergic alpha1, 5-ht7, m2, 5-ht2c, cannabinoid cb1, adrenergic alpha2a, net, 5-ht3, 5-ht2b, adrenergic alpha1a, adrenergic beta1 |
is used by: NIF Data Federation has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NIMH ; Heffter Research Institute |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-01866 | SCR_003281 | Ki Database, PDSP Ki Database | 2026-08-15 11:22:27 | 19 | ||||||
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Gene Cloud: Exploring Connections in the Mouse Genome Resource Report Resource Website 1+ mentions |
Gene Cloud: Exploring Connections in the Mouse Genome (RRID:SCR_003503) | Gene Cloud | service resource | Gene Cloud is a novel tool presenting gene-gene associations based on the scientific literature. It was developed by the Knockout Mouse Repository (www.komp.org) to help our customers find products related to other products they chose. We have built a detailed graph model of gene-gene associations based on how many times two genes are cited in the same article. If two genes are cited in many papers together, they are considered strongly connected. Each instance of Gene Cloud is centered around a specific gene. A list of the top most related genes is plotted as a branching structure from the center. A secondary branch can occur if a gene in the graph is more related a non-central gene than it is to the center gene. The font size of a branched gene indicates the relative strength of connection--always to the center gene. The distribution of genes in space is randomized each time Gene Cloud is run so a different picture will result for the same central gene. Color is used to indicate the availability of Knockout Mouse products at the KOMP Repository. If a gene is colored green in the graph there are products (mutant ES cells, sperm, embryos, or mice) ready to be ordered. Blue colored genes do not yet have products available, but you can follow the links back to the KOMP Repository and register interest to be alerted when products do become available. Gene Cloud is driven by a database of gene-gene associations that currently contains 82,000 genes and other biotypes, 113,000 annotated publications, and 467 million connections. The latest gene symbols, names and gene-publication annotation information is updated daily from the Mouse Genome Informatics database. The graphing is accomplished through the use of a modified version of jsViz. | gene, association, literature, knockout, mouse | has parent organization: University of California at Davis; California; USA | www.komp.org ; www.mousebiology.org |
nif-0000-37178 | SCR_003503 | 2026-08-15 11:22:36 | 1 | ||||||||
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PoPoolation Resource Report Resource Website 100+ mentions |
PoPoolation (RRID:SCR_003495) | PoPoolation | software resource | A collection of tools to facilitate population genetic studies of next generation sequencing data from pooled individuals. It builds upon open source tools (bwa, samtools) and uses standard file formats (gtf, sam, pileup) to ensure a wide compatibility. PoPoolation allows to calculate Tajima's Pi, Watterson's Theta and Tajima's D for reference sequences using a sliding window approach. Alternatively these population genetic estimators may be calculated for a set of genes (provided as gtf). One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools. | population genetics, next generation sequencing, sliding window, genome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
PMID:21253599 | Acknowledgement requested | OMICS_04414, biotools:popoolation | https://bio.tools/popoolation | SCR_003495 | 2026-08-15 11:22:31 | 144 | ||||||
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MSMS Resource Report Resource Website 100+ mentions |
MSMS (RRID:SCR_003532) | software application, simulation software, software resource | A coalescent simulation software program for a structured population including recombination, demographic structure and selection at a single diploid locus. | standalone software | is listed by: OMICtools | PMID:20591904 | OMICS_04381 | SCR_003532 | 2026-08-15 11:22:36 | 277 | |||||||||
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Software Ontology Resource Report Resource Website 1+ mentions |
Software Ontology (RRID:SCR_003493) | SWO | ontology, data or information resource, controlled vocabulary | An ontology for describing software tools, their types, tasks, versions, provenance and data associated (the input and output data types and the uses the software can be put to). | owl, software, provenance, version, ontology |
is listed by: BioPortal is listed by: OBO is listed by: SourceForge is related to: Information Artifact Ontology has parent organization: European Bioinformatics Institute has parent organization: University of Manchester; Manchester; United Kingdom |
JISC | The community can contribute to this resource | nlx_157591 | http://www.ebi.ac.uk/efo/swo, http://purl.bioontology.org/ontology/SWO, http://theswo.svn.sourceforge.net/viewvc/theswo/trunk/src/release/swoinowl/swo_merged/swo_merged.owl | SCR_003493 | 2026-08-15 11:22:36 | 2 | ||||||
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Human Variome Project Resource Report Resource Website 10+ mentions |
Human Variome Project (RRID:SCR_003492) | HVP | standard specification, data or information resource, international standard specification, knowledge environment, narrative resource | Project facilitating the establishment and maintenance of standards systems and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The Human Variome Project produces two categories of recommendations: HVP Standards and HVP Guidelines. HVP Standards are those systems, procedures and technologies that the Human Variome Project Consortium has determined should be used by the community. These carry more weight than the less prescriptive HVP Guidelines, which cover those systems, procedures and technologies that the Human Variome Project Consortium has determined would be beneficial for the community to adopt. HVP Standards and Guidelines are central to supporting the work of the Human Variome Project Consortium and cover a wide range of fields and disciplines, from ethics to nomenclature, data transfer protocols to collection protocols from clinics. They can be thought of as both technical manuals and scientific documents, and while the impact of HVP Standards and Guidelines differ, they are both generated in a similar fashion. A document has been generated both as a guide for those collecting and distributing data and for those developing policy. Items should include those generated by HGVS/HVP collaborators as well as those generated by groups of individual Societies and Standards bodies in all relevant fields worldwide. | genetics, genomics, clinical, diagnosis, disease, human, genetic variation, variome, data sharing | is listed by: OMICtools | Genetic disease | Genomic Disorders Research Center ; Howard Florey Institute ; Human Genome Variation Society ; University of Melbourne; Victoria; Australia ; Victorian State Government ; CASS Foundation ; Gandel Foundation ; Pierce Armstrong Foundation ; Helen MacPherson Trust ; UNESCO |
nif-0000-36300, OMICS_00282 | SCR_003492 | The Human Variome Project | 2026-08-15 11:22:32 | 30 | ||||||
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MGH-USC Human Connectome Project Resource Report Resource Website 100+ mentions |
MGH-USC Human Connectome Project (RRID:SCR_003490) | MGH/UCLA HCP | production service resource, portal, instrument manufacture, data or information resource, material service resource, service resource | A multi-center project comprising two distinct consortia (Mass. Gen. Hosp. and USC; and Wash. U. and the U. of Minn.) seeking to map white matter fiber pathways in the human brain using leading edge neuroimaging methods, genomics, architectonics, mathematical approaches, informatics, and interactive visualization. The mapping of the complete structural and functional neural connections in vivo within and across individuals provides unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve conclusions about the living human brain. The HCP is being developed to employ advanced neuroimaging methods, and to construct an extensive informatics infrastructure to link these data and connectivity models to detailed phenomic and genomic data, building upon existing multidisciplinary and collaborative efforts currently underway. Working with other HCP partners based at Washington University in St. Louis they will provide rich data, essential imaging protocols, and sophisticated connectivity analysis tools for the neuroscience community. This project is working to achieve the following: 1) develop sophisticated tools to process high-angular diffusion (HARDI) and diffusion spectrum imaging (DSI) from normal individuals to provide the foundation for the detailed mapping of the human connectome; 2) optimize advanced high-field imaging technologies and neurocognitive tests to map the human connectome; 3) collect connectomic, behavioral, and genotype data using optimized methods in a representative sample of normal subjects; 4) design and deploy a robust, web-based informatics infrastructure, 5) develop and disseminate data acquisition and analysis, educational, and training outreach materials. | human, structural, functional, neural, white matter, fiber, brain, in vivo, genomic, neuroimaging, visualization, neuroanatomy, genotype, connectivity, connectivity model, neural pathway, phenomic, connectomics, quantification, scanner, eeg, meg, shape analysis, spatial transformation, diffusion spectrum, q-ball, tensor metric, fiber tracking, connectome, behavior, scanner, web resource, diffusion spectrum, q-ball, tensor metric, quantification, shape analysis, spatial transformation, fiber tracking, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: NIH Human Connectome Project is parent organization of: USC Multimodal Connectivity Database |
Normal | NIH ; NIH Blueprint for Neuroscience Research |
Open unspecified license, (BSD/MIT-Style), LONI Software License, Public Domain | nif-0000-35789 | http://www.nitrc.org/projects/hcp_mgh-ucla | SCR_003490 | Harvard/MGH-UCLA Human Connectome Project, Harvard/MGH-UCLA Consortium: Human Connectome Project, HCP Harvard/MGH-UCLA, MGH/UCLA Consortium: Human Connectome Project | 2026-08-15 11:22:35 | 186 | ||||
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MRC Laboratory of Molecular Biology Resource Report Resource Website 100+ mentions |
MRC Laboratory of Molecular Biology (RRID:SCR_003527) | LMB | institution | The MRC Laboratory of Molecular Biology (LMB) has long been, and remains, a world-class research laboratory. Our primary goal is to understand biological processes at the molecular level, through the application of methods drawn from physics, chemistry and genetics. This quest extends from structural studies of individual macromolecules, through their interactions and beyond to the functioning of subcellular systems, cells and multicellular systems in whole organisms, with the ultimate aim of using this knowledge to tackle specific problems in human health and disease. The LMB is one of the birthplaces of modern molecular biology. Many techniques were pioneered at the laboratory, most notably methods for determining the three-dimensional structure of proteins and DNA sequencing. Whole genome sequencing was initiated at the LMB. Another landmark discovery was the invention of monoclonal antibodies. Over the years, the work of LMB scientists has attracted 9 Nobel Prizes, shared between 13 LMB scientists, as well as numerous other prizes and scientific awards. | FASEB list |
is parent organization of: DBD: Transcription factor prediction database is parent organization of: FlyTF.org is parent organization of: SCOP: Structural Classification of Proteins is parent organization of: iMosflm is parent organization of: Coot is parent organization of: AIMLESS is parent organization of: CTFFIND is parent organization of: NeuroAnatomy Toolbox |
MRC | Wikidata: Q185800, nif-0000-38323, grid.42475.30, ISNI: 0000 0004 0605 769X | https://ror.org/00tw3jy02 | SCR_003527 | 2026-08-15 11:22:33 | 455 | |||||||
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GeneChip Operating Software Resource Report Resource Website 500+ mentions |
GeneChip Operating Software (RRID:SCR_003408) | GCOS | data processing software, software application, data analysis software, software resource, sequence analysis software | Affymetrix has recently released a new software for the acquisition, management, and analysis of gene expression data. The new GeneChip Operating Software (GCOS) platform enables researchers to perform gene expression, SNP mapping and resequencing analysis with integrated data management and scalable client server configurations. * Compatible with additional Affymetrix analysis software such as Data Mining Tool (DMT) and GeneChip DNA Analysis Software (GDAS) * Supports Gene Expression, Resequencing and Genotyping Applications * Baseline Comparison Analysis Input: Affymetrix .DAT file Output: Affymetrix files (.CEL, .CHP, .RPT, .EXP, .TXT) Availability: The Core Facility has a copy of GCOS, as well as an older version of the Affymetrix software, Microarray Suite (MAS), available for use upon request. | gene expression, snp mapping, resequencing, analysis, genotyping, platform, software, comparison, analysis |
is listed by: Biositemaps is listed by: SoftCite has parent organization: Scripps Research Institute |
Free, Available for download, Freely available | nif-0000-33019 | https://www.thermofisher.com/us/en/home/life-science/microarray-analysis/microarray-analysis-instruments-software-services/microarray-analysis-software/genechip-operating-software-service-pack-2-software-update.html | SCR_003408 | GeneChip Operating Software (GCOS), DNA Array Core Facility GeneChip Operating Software, DNA Array Core Facility GeneChip Operating Software (GCOS) | 2026-08-15 11:22:30 | 650 | ||||||
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NanoStriDE Resource Report Resource Website 10+ mentions |
NanoStriDE (RRID:SCR_003407) | NanoStriDE | production service resource, data analysis service, software resource, source code, service resource, analysis service resource | Web application that accepts the raw count data produced by the NanoString nCounter analysis system, normalizes it according to guidelines provided by NanoString Technologies, performs differential expression analysis on the normalized data, and provides a heatmap of the results from the differential expression analysis. | normalization, differential expression, nanostring ncounter, heatmap |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
PMID:22177214 | Free, Freely available | OMICS_02307 | SCR_003407 | NanoStriDE - NanoString Differential Expression, NanoString Differential Expression | 2026-08-15 11:22:33 | 11 | ||||||
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alt-metrics: a manifesto Resource Report Resource Website 1+ mentions |
alt-metrics: a manifesto (RRID:SCR_003528) | alt-metrics | data or information resource, narrative resource, software resource, video resource | altmetrics is the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship. No one can read everything. We rely on filters to make sense of the scholarly literature, but the narrow, traditional filters are being swamped. However, the growth of new, online scholarly tools allows us to make new filters; these alt-metrics reflect the broad, rapid impact of scholarship in this burgeoning ecosystem. We call for more tools and research based on alt-metrics. * Tools: Browse a directory of noteworthy altmetrics apps. * Media: Watch videos of altmetrics presentations. | PMID:28817430 | nif-0000-39065 | SCR_003528 | altmetrics | 2026-08-15 11:22:36 | 9 | |||||||||
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Subcellular Anatomy Ontology Resource Report Resource Website 1+ mentions |
Subcellular Anatomy Ontology (RRID:SCR_003486) | SAO, NIF Subcellular | ontology, data or information resource, controlled vocabulary | Ontology that describes structures from the dimensional range encompassing cellular and subcellular structure, supracellular domains, and macromolecules. It is built according to ontology development best practices (re-use of existing ontologies; formal definitions of terms; use of foundational ontologies). It describes the parts of neurons and glia and how these parts come together to define supracellular structures such as synapses and neuropil. Molecular specializations of each compartment and cell type are identified. The SAO was designed with the goal of providing a means to annotate cellular and subcellular data obtained from light and electron microscopy, including assigning macromolecules to their appropriate subcellular domains. The SAO thus provides a bridge between ontologies that describe molecular species and those concerned with more gross anatomical scales. Because it is intended to integrate into ontological efforts at these other scales, particular care was taken to construct the ontology in a way that supports such integration. | electron microscopy, cellular structure, glial cell, light microscopy, macromolecule, nervous system, neuroanatomy, neuronal cell, neuropil, subcellular anatomy, subcellular structure, supracellular structure, synapse, owl, anatomy, sub-cellular, cellular component, cell, mesoscale |
is listed by: BioPortal is listed by: OBO is related to: Jinx has parent organization: Cell Centered Database |
NIH | PMID:18974798 | Free, Available for download, Freely available | nif-0000-00206 | https://bioportal.bioontology.org/ontologies/SAO | SCR_003486 | 2026-08-15 11:22:32 | 1 |
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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.
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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.
