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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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Duke University, Pharmacology and Cancer Biology Resource Report Resource Website |
Duke University, Pharmacology and Cancer Biology (RRID:SCR_003342) | data or information resource, department portal, organization portal, portal | Department of Pharmacology and Cancer Biology spans two overlapping and broad disciplines, one exploring how chemical agents impact living cells and one seeking to understand how inappropriate responses to environmental molecules and internal cellular cues can lead to development of Cancer. Occupying Levine Science Research Center, Pharmacology and Cancer Biology department is dedicated to mentoring and training of graduate students and postdoctoral fellows.Innovative undergraduate program also allows students majoring in Biology or Chemistry at Duke to complete area specialization in Pharmacology, as well as offering courses in Pharmacology and Neuropharmacology for undergraduates. Department trains also students working towards Ph.D.s in Molecular Cancer Biology. Moreover, students enter our department through several university-wide multi-disciplinary programs including the Toxicology, Cell and Molecular Biology Program and the University Program in Genetics and Genomics. Our 23 faculty members are remarkably diverse and use all of the tools available to biomedical scientists to address questions critical to fundamental biology and human health. The faculty members share the common goal of exploiting cellular signaling pathways to address a myriad of important scientific questions relevant to cancer, metabolism, nervous system function, drugs of abuse and environmental toxicants. | has parent organization: Duke University; North Carolina; USA | Free, Freely available | nif-0000-01935 | https://pcb.duke.edu/ | SCR_003342 | SciCrunch Registry | Duke University Medical Center Pharmacology and Cancer Biology, PCB at Duke, Duke University Medical Center Pharmacology & Cancer Biology | 2026-10-10 12:41:47 | 0 | ||||||||
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Hymenoptera Anatomy Ontology Resource Report Resource Website 1+ mentions |
Hymenoptera Anatomy Ontology (RRID:SCR_003340) | HAO | controlled vocabulary, data or information resource, ontology | A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants) | owl, anatomy, organismal |
is listed by: BioPortal is listed by: OBO |
NSF DBI 0850223 | Free, Freely available | nlx_157435 | http://purl.bioontology.org/ontology/HAO, http://purl.obolibrary.org/obo/hao.owl | SCR_003340 | SciCrunch Registry | 2026-10-10 12:41:40 | 3 | ||||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | analysis service resource, bioinformatics resource center, data analysis service, data or information resource, database, production service resource, service resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | SciCrunch Registry | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-10-10 12:41:41 | 1114 | |||
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GetReal Resource Report Resource Website 10+ mentions |
GetReal (RRID:SCR_003862) | GetReal | consortium, data or information resource, organization portal, portal | Consortium that aims to improve the efficiency of the medicine development process by better incorporating estimates of relative effectiveness into drug development and to enrich decision-making by regulatory authorities and health technology assessment (HTA) bodies through: * Bringing together regulators, HTA bodies, academics, companies, patients and other societal stakeholders; * Assessing existing processes, methodologies, and key research issues; * Proposing innovative (and more pragmatic) trial designs and assessing the value of information; * Proposing and testing innovative analytical and predictive modelling approaches; * Assessing operational, ethical, regulatory issues and proposing and testing solutions; * Creating new decision making frameworks, and building open tools to allow for the evaluation of development programs and use in the assessment of the value of new medicines; * Sharing and discussing deliverables with, among others, Pharmaceutical companies, regulatory authorities, HTA / reimbursement agencies, clinicians and patient organizations; * Developing training activities for researchers, decision makers and societal stakeholders in the public and private sector in order to increase knowledge about various aspects of relative effectiveness. The expected impact is that it will contribute to the knowledge base, particularly to inform clinical decision making and improve the efficiency of the R&D process. GETREAL will help to generate a consensus on best practice in the timing, performance and use of real life clinical studies in regulatory and reimbursement decision-making. It will also help to create a strong platform for the communication of results and for future discussions in this important area. | drug, health technology assessment, clinical, drug development, basic research, data sharing |
is listed by: Consortia-pedia is related to: Roche is related to: Janssen Research and Development is related to: Merck is related to: European Medicines Agency is related to: EORTC is related to: French National Authority for Health is related to: London School of Hygiene and Tropical Medicine; London; United Kingdom is related to: University of Ioannina; Ioannina; Greece is related to: University of Bern; Bern; Switzerland is related to: University of Leicester; Leicester; United Kingdom is related to: International Alliance of Patients Organizations |
Innovative Medicines Initiative ; EFPIA |
nlx_158185 | SCR_003862 | SciCrunch Registry | 2026-10-10 12:41:40 | 42 | ||||||||
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SEED Resource Report Resource Website 500+ mentions |
SEED (RRID:SCR_002129) | SEED | analysis service resource, data analysis service, data or information resource, data set, database, production service resource, service resource | The SEED is a framework to support comparative analysis and annotation of genomes. The cooperative effort focuses on the development of the comparative genomics environment and, more importantly, on the development of curated genomic data. Curation of genomic data (annotation) is done via the curation of subsystems by an expert annotator across many genomes, not on a gene by gene basis. From the curated subsystems we extract a set of freely available protein families (FIGfams). These FIGfams form the core component of our RAST automated annotation technology. Answering numerous requests for automatic Seed-Quality annotations for more or less complete bacterial and archaeal genomes, we have established the free RAST-Server (RAST=Rapid Annotation using Subsytems Technology). Using similar technology, we make the Metagenomics-RAST-Server freely available. We also provide a SEED-Viewer that allows read-only access to the latest curated data sets. We currently have 58 Archaea, 902 Bacteria, 562 Eukaryota, 1254 Plasmids and 1713 Viruses in our database. All tools and datasets that make up the SEED are in the public domain and can be downloaded at ftp://ftp.theseed.org | environmental genome, eukaryal, archaeal, bacterial, viral, FASEB list |
has parent organization: Fellowship for Interpretation of Genomes has parent organization: University of Chicago; Illinois; USA has parent organization: Argonne National Laboratory |
PMID:16214803 | Free, Freely Available | nif-0000-20923 | http://www.theseed.org/wiki/Main_Page | SCR_002129 | SciCrunch Registry | The SEED | 2026-10-10 12:41:38 | 512 | |||||
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Inter-Group Registration Toolbox Resource Report Resource Website |
Inter-Group Registration Toolbox (RRID:SCR_002404) | InterGroupReg | data processing software, image analysis software, registration software, software application, software resource | Software package that provides solutions for registering two groups of images, which are the necessary steps for many brain-related applications. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Free, Available for download, Freely available | nlx_155777 | http://www.nitrc.org/projects/intergroupreg | SCR_002404 | SciCrunch Registry | 2026-10-10 12:41:46 | 0 | |||||||
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NIF Cell Ontology Resource Report Resource Website |
NIF Cell Ontology (RRID:SCR_003977) | NIFCELL | controlled vocabulary, data or information resource, ontology | Ontology for cell types from NIFSTD | owl |
is listed by: BioPortal has parent organization: NIFSTD |
nlx_157492 | SCR_003977 | SciCrunch Registry | Neuroscience Information Framework (NIF) Cell Ontology, Neuroscience Information Framework Cell Ontology | 2026-10-10 12:42:08 | 0 | ||||||||
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Arrowsmith Resource Report Resource Website 1+ mentions |
Arrowsmith (RRID:SCR_002523) | data or information resource, portal, project portal, software application, software resource, text-mining software | Portal for documenting the Arrowsmith project and developing text mining tools for scientific, and specifically neuroscience, literature. It also contains a search functions that identifies similar concepts between two articles. | data mining software, neuroscience literature, text mining, project portal | has parent organization: University of Illinois at Chicago; Illinois; USA | National Library of Medicine ; National Institute of Mental Health |
PMID:19185946 | Free, Freely available | nif-0000-00126 | SCR_002523 | SciCrunch Registry | Arrowsmith Project | 2026-10-10 12:42:06 | 3 | ||||||
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Mass Spectrometry Ontology Resource Report Resource Website |
Mass Spectrometry Ontology (RRID:SCR_003579) | MS | controlled vocabulary, data or information resource, ontology | A structured controlled vocabulary for the annotation of mass spectrometry experiments. | obo |
is listed by: BioPortal has parent organization: HUPO Proteomics Standards Initiative |
nlx_157465 | SCR_003579 | SciCrunch Registry | 2026-10-10 12:41:41 | 0 | |||||||||
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Predictions for Entire Proteomes Resource Report Resource Website 500+ mentions |
Predictions for Entire Proteomes (RRID:SCR_002803) | data analysis software, data processing software, sequence analysis software, software application, software resource, web application | Web application for sequence analysis and the prediction of protein structure and function. The user interface intakes protein sequences or alignments and returned multiple sequence alignments, motifs, and nuclear localization signals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | sequence analysis database, protein structure prediction, protein structure, protein function, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
BMBF | PMID:24799431 DOI:10.1093/nar/gkh377 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00136, OMICS_07135, biotools:predictprotein | https://bio.tools/predictprotein, https://sources.debian.org/src/predictprotein/ | http://cubic.bioc.columbia.edu/pep/ | SCR_002803 | SciCrunch Registry | PredictProtein | 2026-10-10 12:42:06 | 643 | ||||
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OpenSim Resource Report Resource Website 500+ mentions |
OpenSim (RRID:SCR_002683) | simulation software, software application, software resource | OpenSim is an open-source software system that lets users develop models of musculoskeletal structures and create dynamic simulations of movement. The software provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through multi-institutional collaboration. The underlying software is written in ANSI C++, and the graphical user interface (GUI) is written in Java. OpenSim technology makes it possible to develop customized controllers, analyses, contact models, and muscle models among other things. These plugins can be shared without the need to alter or compile source code. Users can analyze existing models and simulations and develop new models and simulations from within the GUI. | muscle-driven simulation, musculoskeletal biomechanics, neuromuscular simulation, modeling software, simulation software |
is related to: Simtk.org is related to: Neuromuscular Models Library has parent organization: Stanford University; Stanford; California |
Simbios ; NIGMS U54 GM072970; DARPA |
Public, Free, Acknowledgement requested | nif-0000-23308 | https://simtk.org/home/opensim, http://opensim.stanford.edu/support/index.html | SCR_002683 | SciCrunch Registry | 2026-10-10 12:41:46 | 612 | |||||||
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RegulonDB Resource Report Resource Website 100+ mentions |
RegulonDB (RRID:SCR_003499) | RegulonDB | data or information resource, database | Database on transcriptional regulation in Escherichia coli K-12 containing knowledge manually curated from original scientific publications, complemented with high throughput datasets and comprehensive computational predictions. Graphic and text-integrated environment with friendly navigation where regulatory information is always at hand. They provide integrated views to understand as well as organized knowledge in computable form. Users may submit data to make it publicly available. | transcription, gene regulation, operon, bacteria, evolutionary conservation, regulatory phrase, transcriptional regulation, transcriptional regulatory network, bio.tools, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: bio.tools is listed by: Debian has parent organization: National Autonomous University of Mexico; Mexico City; Mexico |
NIGMS GM071962; NIGMS GM077678; Consejo Nacional de Ciencia y Tecnologia 103686; Consejo Nacional de Ciencia y Tecnologia 179997; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN210810; Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica IN209312 |
PMID:23203884 | OMICS_01868, nif-0000-03399, biotools:regulondb | https://bio.tools/regulondb | SCR_003499 | SciCrunch Registry | 2026-10-10 12:42:07 | 153 | ||||||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA R01 AA18776; NIAAA U01 AA13499; NIAAA U24 AA13513 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/, https://doi.org/10.17616/R3248T | SCR_003009 | SciCrunch Registry | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-10-10 12:41:46 | 39 | |||||
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ProteomeXchange Resource Report Resource Website 5000+ mentions |
ProteomeXchange (RRID:SCR_004055) | catalog, consortium, data or information resource, data repository, database, organization portal, portal, service resource, storage service resource | A data repository for proteomic data sets. The ProteomeExchange consortium, as a whole, aims to provide a coordinated submission of MS proteomics data to the main existing proteomics repositories, as well as to encourage optimal data dissemination. ProteomeXchange provides access to a number of public databases, and users can access and submit data sets to the consortium's PRIDE database and PASSEL/PeptideAtlas. | consortium, database, proteomics, MS proteomics, protein, mass spectrometry, bio.tools, FASEB list |
uses: Proteomics Identifications (PRIDE) uses: PeptideAtlas is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: bio.tools is listed by: Debian is affiliated with: Omics Discovery Index is related to: Proteomics Identifications (PRIDE) is related to: PeptideAtlas is related to: SIB Swiss Institute of Bioinformatics is related to: Mass spectrometry Interactive Virtual Environment (MassIVE) is related to: European Bioinformatics Institute is related to: ProteomeTools is related to: Integrated Proteome Resources has parent organization: European Bioinformatics Institute |
European Union 260558 | Public, The community can contribute to this resource | r3d100012122, nlx_158620, biotools:proteomexchange | http://proteomecentral.proteomexchange.org, https://bio.tools/proteomexchange, https://doi.org/10.17616/R32D29 | SCR_004055 | SciCrunch Registry | , ProteomeXchange, Proteome Exchange | 2026-10-10 12:41:40 | 6107 | ||||||
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Code Analysis Repository and Modelling for e-Neuroscience Resource Report Resource Website 10+ mentions |
Code Analysis Repository and Modelling for e-Neuroscience (RRID:SCR_002795) | CARMEN | data or information resource, data repository, database, service resource, software repository, software resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on January 14, 2023. Infrastructure for sharing data, tools and services, this virtual research environment (VRE) supports e-Neuroscience and is designed to provide services for data and processing of that data. While the system is initially focused on electrophysiology data (neural activity recordings are the primary data types), it is equally applicable to many domains outside neuroscience. The Portal Provides: * User login and customization. * Data upload/download. * Data handling including custom permissions for public, shared or private data. * The ability to invoke custom public, shared or private services that consume and produce data. For example, it would allow spike series to be run through a sorter, producing new data representing the sorted spikes. * The ability to host services written in a number of languages including, but not limited to Matlab, R, Python, Perl, Java. * A system to support metadata for data objects, which provides extensive support for entering metadata at the point of upload, and allows the generation of metadata from services to provide provenance information. * The ability to invoke additional visualization for the data, for example, via the Signal Data Explorer. A core part is the development of: (i) minimum reporting guidelines for annotation of data and other computational resources for the purpose of sharing, and; (ii) intermediate formats and APIs for translation between proprietary and bespoke data types. These recommendations are being implemented and the global community is encouraged both to engage in their specification and make use of them for their own data sharing systems. * MINI: Minimum Information about a Neuroscience Investigation - This framework represents the formalized opinion of the CARMEN consortium and its associates, and identifies the minimum reporting information required to support the use of electrophysiology in a neuroscience study, for submission to the CARMEN system. * NDTF: Neurophysiology Data Translation Format - This framework provides a vendor-independent mechanism for translating between raw and processed neurphysiology data in the form of time and image series. They are implementing NDTF in CARMEN but it may also be useful for third party applications. | neural activity recording, signal, image series, neurophysiology, data sharing, metadata standard, collaboration, electrophysiology, FASEB list |
has parent organization: Newcastle University; Newcastle upon Tyne; United Kingdom is parent organization of: Retinal wave repository |
EPSRC EP/E002331/1 | PMID:20679128 PMID:18674883 |
THIS RESOURCE IS NO LONGER IN SERVICE | r3d100012284, nif-0000-00442 | https://doi.org/10.17616/R3W94G | SCR_002795 | SciCrunch Registry | Code Analysis Repository & Modelling for E-Neuroscience | 2026-10-10 12:41:46 | 29 | ||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | data or information resource, data processing software, data visualization software, database, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | SciCrunch Registry | STACKdb | 2026-10-10 12:41:38 | 0 | ||||||||
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Seg3D Resource Report Resource Website 100+ mentions |
Seg3D (RRID:SCR_002552) | Seg3D | data processing software, data visualization software, image analysis software, image processing software, rendering software, segmentation software, software application, software resource | A free volume processing segmenting tool that combines a flexible manual interface with powerful image processing and segmentation algorithms. Users can explore and label image volumes using slice windows and 3D volume rendering. | analyze, c++, dicom, image display, linux, macos, microsoft, magnetic resonance, nrrd, posix/unix-like, rendering, segmentation, three dimensional display, visualization, volume rendering, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Utah; Utah; USA |
NIGMS 8 P41 GM103545-15 | PMID:29083867 | Free, Available for download, Freely available | nlx_155959 | http://www.nitrc.org/projects/seg3d | SCR_002552 | SciCrunch Registry | 2026-10-10 12:42:06 | 106 | |||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | SciCrunch Registry | UKSGMP | 2026-10-10 12:41:39 | 1 | |||||||||
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FrontalCortex.com Resource Report Resource Website |
FrontalCortex.com (RRID:SCR_002667) | curriculum material, data or information resource, narrative resource, short course material, slide, training material, video resource | A free website for for neurologists, neurology residents, and medical students. Contains thousands of images, hundreds of multiple-choice review questions, dozens of educational videos, several user forums, and a couple of online courses. Created by a neurology resident, it is currently maintained by a neurologist and a neuropathologist, with contributions from people from around the world. FrontalCortex.com is a free resource for neurology education. The target audience is neurology residents and medical students. It features a bank of hundreds of boards-type review questions, all of which contain feedback and references to relevant articles or texts. It also has an image gallery with thousands of images, including EEGs, radiographs, illustrations, and over a thousand unique neuropathology images. Online courses in neuropathology and electrodiagnostic testing have been created on the site, and continue to be refined. These include dozens of educational videos. FrontalCortex.com was created by a neurology resident. That resident is now a neurologist, and the neurology program director at Marshall University, and continues to run the page, with the help of other physicians volunteering their time. All the content contributions are donated by volunteers, and are reviewed by physicians. Financial support for the page comes from advertisements on the page, and the occasional donation. No login is required, unless you want to contribute to the growing bank of educational resources, in which case you can create a free account. : :education, neurology, resident, neuropathology, board review, RITE exam : : | education, board review, neurology, neuropathology, resident, rite exam | Free, Freely available | nif-0000-22726 | SCR_002667 | SciCrunch Registry | FrontalCortex | 2026-10-10 12:41:39 | 0 | |||||||||
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Neal's DNA Mutation Site Resource Report Resource Website 1+ mentions |
Neal's DNA Mutation Site (RRID:SCR_002947) | Neal's DNA Mutation Site | data analysis software, data or information resource, data processing software, database, portal, software application, software resource, topical portal | This site provides access to mutation databases and software including the human hprt database, Human p53 database, Transgenic lacZ database, and Transgenic lacI database. Other avaialble programs include Mutational spectra comparison and relational database data entry. The most recent hprt database contains information on over 2,300 mutations found in vivo and in vitro in the human hprt gene and runs under Windows. The version for evaluation on this homepage has fewer mutations and is a DOS program. The database contains information on the mutagen, dose, spontaneous and induced mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, cell type, citation, and other items. In addition, information regarding the cause and effect of mutations affecting splicing is given. Routines have been developed for the analysis of single base substitutions. The p53 database contains information on nearly 5,867 mutations found in the human p53 gene. The database itself has been updated in April of 1997. The database contains information on the cancer type, loss of heterozygosity, base position, amino acid position, amino acid change, local DNA sequence,citation, and other items. Routines have been developed for the analysis of single base substitutions. The Transgenic lacZ database contains information on 405 mutations found in vivo in the transgenic lacZ gene. It has last been updated in January of 1998. It provides information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. The Transgenic lacI database contains information on over 1700 mutations found in vivo in the transgenic lacI gene and on nearly 8000 mutations in the lacI gene in native E. coli. The database was updated in January 1998. The database contains information on the mutagen, dose, organ, mutant fraction, base position, amino acid position, amino acid change, local DNA sequence, citation, and other items. Routines have been developed for the analysis of single base substitutions for each of the databases. The software runs only on IBM-compatible PCs. | human, mouse | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Free, Available for download, Freely available | nif-0000-02995 | SCR_002947 | SciCrunch Registry | Human p53 Human hprt Rodent lacI and Rodent lacZ Databases and Software, Human p53 Human hprt Rodent lacI and Rodent lacZ Databases, Human p53 Human hprt Rodent lacI Rodent lacZ Databases | 2026-10-10 12:41:40 | 4 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
