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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Tulane National Biomedical Research Center Resource Report Resource Website 500+ mentions |
Tulane National Biomedical Research Center (RRID:SCR_008167) | TNPRC | topical portal, data or information resource, organization portal, disease-related portal, portal | Center focused on understanding human health problems, including infectious diseases that require the use of nonhuman primates to develop diagnostics, therapeutics and preventive strategies. Primary research interests include developing vaccines, treatments and diagnostic tools for infectious diseases such as AIDS, tuberculosis, CMV, COVID-19, Lyme disease, and malaria. TNPRC has both biosafety level 2 and biosafety level 3 laboratories facilities to accommodate various research needs, and is the only National Primate Research Center with Regional Biosafety Laboratory. | NPRC, NPRC Consortium, ORIP, primate research, |
is listed by: National Primate Research Center Consortium has parent organization: Tulane University; Louisiana; USA |
NIH Office of the Director P51 OD011104; NIH Office of the Director U42 OD010568; NIH Office of the Director U42 OD024282 |
nif-0000-24360 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_008167 | Tulane National Primate Research Center | 2026-08-13 09:27:50 | 866 | ||||||
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Interaction Proteome Project Resource Report Resource Website 1+ mentions |
Interaction Proteome Project (RRID:SCR_008043) | IPP | topical portal, data or information resource, simulation software, software application, software resource, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 28, 2013. (URL is no longer valid) A platform for high-throughput proteomic analysis. Major objectives of IPP include the establishment of a broadly applicable platform of routine methods for the analysis of protein interaction networks in bio-medical research. A multidisciplinary approach will address; * their validation by cell biological, biochemical and biophysical methods. * their collection in a new type of public database. * their exploitation and use for in silico simulations of protein-interaction networks. The innovations generated in IPP will provide the basis for an efficient analysis and systems modeling of fundamental biological processes in health and disease. It will develop novel technology, including a high-end mass spectrometer with extremely large dynamic range, high-density peptide arrays, and improved visualization technology for light and electron microscopy. Additionally, the novel technologies will be validated with selected model systems of high relevance to medicine and biotechnology. Extensive bioinformatics support is a key element in the project to cope with the massive increase in experimental data on protein interactions obtained using the novel technologies. In particular, the efficient integration of disparate data sets represents a key challenge in proteomics and functional genomics. Therefore, the consortium includes the creator of the only European protein-interactions database, MINT. The multi-disciplinary efforts required in the scientific program of IPP are organized into four sub-projects (SP): * SP1: Tools for interaction analysis - SP1 is dedicated to the development of innovative proteomics technology to map protein-interaction networks and their cellular topology for the interaction analyses in SP2 and SP3. * SP2: Identification of interaction partners for protein domains - SP2 will generate (high throughput) data for important protein-protein interactions defined by bioinformatics and biomedical interest and by SP3, utilizing technology developed in SP1. * SP3: Functional analysis of interactions - SP3 focuses on the validation of technologies and tools developed in SP1. It will perform functional analyses of protein-interactions in medically and biochemically relevant prokaryotic and eukaryotic (mammalian) model systems. * SP4: Interactome database and modelling - SP4 provides the required bioinformatics infrastructure for the project, comprising the improvement of the public MINT database for the collection and dissemination of the interactome data; modelling and simulation of protein-interaction networks characterised in SP2 and SP3; and the dissemination of the technology developments to the scientific community. | electron, eukaryotic, biochemical, bioinformatics, biological, biomedical, biophysical, biotechnology, cell, development, disease, domain, genomics, health, interaction, light, mammalian, map, mass spectrometer, medicine, microscopy, model, modeling, network, peptide array, prokayotic, protein interaction, proteome, proteomics, silico, simulation, system, technology, tool, protein interaction | has parent organization: Max Planck Institute of Biochemistry; Martinsried; Germany | European Union | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10259 | SCR_008043 | Interaction Proteome | 2026-08-13 09:27:51 | 1 | ||||||
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Atlas of Medical Parasitology Resource Report Resource Website |
Atlas of Medical Parasitology (RRID:SCR_008163) | A.M.P., AMP | data or information resource, database, service resource, data repository, storage service resource, image repository |
Database of images on medical parasitology created to provide educational materials for medical students primarily, but professional workers in medical or paramedical fields may also refer to this site covering the significant parasites in the world. Each database of protozoans, nematodes, trematodes, cestodes and arthropods contains information on the morphology, life cycle, geographical distribution, symptoms, prevention, etc. Users who wish to contribute can send the editor unpublished images of human parasites (microscopical, clinical, radiological or epidemiological aspects of human parasitic infections) by mail or e-mail. Pathology specimens (slide, samples) are welcome too. The A.M.P. received the citation of reliable sources such as Parasitology today and The Lancet, and is now listed in the Internet Resources on Specific Infectious Diseases Topics of the Mandell, Douglas and Bennets Principles and Practice of Infectious Diseases Fifth Edition. This website was established with a great contribution of the PROJECT COLLABORATORS and many contributors of The Korean Society for Parasitology. |
epidemiological, clinical, disease, human, infection, medical, microscopical, parasite, parasitic, parasitology, pathology, radiological, specimen, morphology, life cycle, geographical distribution, symptom, prevention, human parasite, biospecimen repository, training material, image | has parent organization: Chungbuk National University; Cheongju; South Korea | Human parasitic infection | Ministry of Health and Welfare - Republic of Korea ; Korean Medical Research Information Center |
The community can contribute to this resource | nif-0000-21025 | http://www.cdfound.to.it/_atlas.htm | SCR_008163 | Web Atlas of Medical Parasitology | 2026-08-13 09:27:53 | 0 | ||||
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VEGA Resource Report Resource Website 500+ mentions |
VEGA (RRID:SCR_007907) | VEGA | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | Central repository for high quality frequently updated manual annotation of vertebrate finished genome sequence. Human, mouse and zebrafish are in the process of being completely annotated, whereas for other species the annotation is only of specific genomic regions of particular biological interest. The majority of the annotation is from the HAVANA group at the Welcome Trust Sanger Institute. Users can BLAST, search for specific text, export, and download data. Genomes and details of the projects for each species are available through the homepages for human mouse and zebrafish. The website is built upon code from the EnsEMBL (http://www.ensembl.org) project. Some Ensembl features are not available in Vega. From the users point of view perhaps the most significant of these is MartView. However due to their inclusion in Ensembl, Vega human and mouse data can be queried using Ensembl MartView. Vega contains annotation of the human MHC region in eight haplotypes, and the LRC region in three haplotypes. Vega also contains annotation on the Insulin Dependent Diabetes (IDD) regions on non-reference assemblies for mouse. | human, mouse, zebrafish, gorilla, wallaby, pig, dog, vertebrate, genome, orfs, FASEB list |
is listed by: Sequencing of Idd regions in the NOD mouse genome is related to: Consensus CDS has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:18003653 PMID:15975227 PMID:15608237 |
r3d100012575 | https://doi.org/10.17616/R3W77X | SCR_007907 | The Vertebrate Genome Annotation database (VEGA), Vertebrate Genome Annotation, Vertebrate Genome Annotation Database | 2026-08-13 09:27:50 | 765 | ||||||
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University of California San Diego Department of Neurosciences Resource Report Resource Website |
University of California San Diego Department of Neurosciences (RRID:SCR_007983) | data or information resource, organization portal, department portal, portal | The Department of Neurosciences is composed of 33 ladder-rank faculty members, 23 research and project scientists, and 27 faculty who hold adjunct and joint appointments. Additionally, there are 61 individuals outside the university who participate in our clinical teaching programs. We are proud that Neurosciences at UCSD ranks first out of 90 competitors in overall NIH grant funding. The Department of Neurosciences also supports adult and pediatric residency training programs in neurology utilizing clinical facilities at the UCSD Medical Centers in Hillcrest and La Jolla, VA San Diego Medical Center, and Rady Children''s Hospital of San Diego. Areas of particular interest include the diagnosis, management, and research of neurodegenerative diseases (in particular Alzheimer''s disease and Parkinson''s disease), stroke, epilepsy, neuromuscular disorders, metabolic disorders, and neuro-developmental disorders, including autism. The Department maintains close ties with its neighboring institutions, including the Salk Institute, Scripps Research Institute, and Burnham Institute. The La Jolla Mesa has the greatest concentration of neuroscientists of any single area in the United States . | has parent organization: University of California at San Diego; California; USA | nif-0000-03878 | SCR_007983 | UCSD School of Medicine | 2026-08-13 09:27:50 | 0 | ||||||||||
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All the Virology on the WWW Resource Report Resource Website |
All the Virology on the WWW (RRID:SCR_008159) | topical portal, data or information resource, portal | All the Virology on the WWW is a site for virology information on the Internet. They have collected all the virology related web sites that might be of interest to virologists, and others interested in learning more about viruses. Additionally, they have created an index to virus pictures on the web, The Big Picture Book of Viruses, which also functions as a resource for viral taxonomy. A collection of some of the best Online Virology and Microbiology Course Notes available can also be found here. If users are interested in even more information, The Virology Bookshop, an on-line microbiology and virology bookstore with a significant discount for our users. It is their goal that this site will provide both the professional virologist and the general public with access to information about viruses. Over the past several years, these pages have grown to encompass something of interest for everyone. The lists of virology related sites are divided into multiple pages, all of which are accessible from this page and from the more descriptive Complete Table of Contents. There are also links to Virology Dictionaries if users are confused by some of this site''s more technical content. These sites are listed without bias and with much organization Categories: Metadatabases and Directories | database, definition, microbiology, picture, taxonomy, viral, virology, virus, job, image, journal | nif-0000-21017 | SCR_008159 | All the Virology on the WWW | 2026-08-13 09:27:51 | 0 | ||||||||||
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University of Pittsburgh Department of Neuroscience Resource Report Resource Website |
University of Pittsburgh Department of Neuroscience (RRID:SCR_007985) | data or information resource, organization portal, department portal, portal | The Department of Neuroscience in the School of Arts and Sciences at the University of Pittsburgh provides outstanding undergraduate and graduate education with innovative independent and collaborative research, a well-rounded curriculum, and a seminar series by the world''s most renowned leaders in the field of neuroscience. The Department has become successful and prominent based on the determination, energy, imagination, and skills of its faculty as investigators and as mentors, and on the support of the institution and the funding agencies. Consequently, morale is high and so is our optimism that we will continue to develop and maintain a world-class department. | NIH Office of the Director P40 OD010996 | nif-0000-04000 | SCR_007985 | U Pitt, UPitt Department of Neuroscience, UPitt Neuroscience | 2026-08-13 09:27:47 | 0 | ||||||||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data or information resource, data processing software, data analysis software, software application, data visualization software, database, data acquisition software, software resource | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-08-13 09:27:51 | 1 | ||||||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | topical portal, data or information resource, portal | In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers academic and non-profit organizations free access to reduced functionality versions of their products. TRANSFAC Professional provides gene regulation analysis solutions, offering the most comprehensive collection of eukaryotic gene regulation data. The professional paid subscription gives customers access to up-to-date data and tools not available in the free version. The public databases currently available for academic and non-profit organizations are: * TRANSFAC: contains data on transcription factors, their experimentally-proven binding sites, and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. * TRANSPATH: provides data about molecules participating in signal transduction pathways and the reactions they are involved in, resulting in a complex network of interconnected signaling components.TRANSPATH focuses on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. * PathoDB: is a database on pathologically relevant mutated forms of transcription factors and their binding sites. It comprises numerous cases of defective transcription factors or mutated transcription factor binding sites, which are known to cause pathological defects. * S/MARt DB: presents data on scaffold or matrix attached regions (S/MARs) of eukaryotic genomes, as well as about the proteins that bind to them. S/MARs organize the chromatin in the form of functionally independent loop domains gained increasing support. Scaffold or Matrix Attached Regions (S/MARs) are genomic DNA sequences through which the chromatin is tightly attached to the proteinaceous scaffold of the nucleus. * TRANSCompel: is a database on composite regulatory elements affecting gene transcription in eukaryotes. Composite regulatory elements consist of two closely situated binding sites for distinct transcription factors, and provide cross-coupling of different signaling pathways. * PathoSign Public: is a database which collects information about defective cell signaling molecules causing human diseases. While constituting a useful data repository in itself, PathoSign is also aimed at being a foundational part of a platform for modeling human disease processes. | element, eukaryote, eukaryotic, expression, functionally, gene, genome, alignment, bind, binding site, cell, chromatin, collaborative, component, coupling, disease, dna, domain, human, matrix, molecular weight, molecule, mononucleotide, network, nucleotide, nucleus, pathological, protein, region, regulated, regulatory, scientific research, sequence, signaling, signal pathway, transcription factor, molecular neuroanatomy resource |
lists: TRANSFAC has parent organization: BIOBASE Corporation |
BIOBASE | nif-0000-10230 | SCR_008033 | gene-regulation.com: Public Databases for Academic and Non-profit Organizations | 2026-08-13 09:27:48 | 130 | |||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | topical portal, data or information resource, database, portal | 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 August 23, 2016. The Human Papillomaviruses Database collects, curates, analyzes, and publishes genetic sequences of papillomaviruses and related cellular proteins. It includes molecular biologists, sequence analysts, computer technicians, post-docs and graduate research assistants. This Web site has two main branches. The first contains our four annual data books of papillomavirus information, called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. and the second contains papillomavirus genetic sequence data. There is also a New Items location where we store the latest changes to the database or any other current news of interest. Besides the compendium, we also provide genetic sequence information for papilloma viruses and related cellular proteins. Each year they publish a compendium of papillomavirus information called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. which can now be downloaded from this Web site. | gene, genetic, alignment, amino acid, biologist, cellular protein, genome, human, molecular, papilloma, papillomavirus, phylogenetic, sequence, virus | has parent organization: Los Alamos National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21000 | http://www.stdgen.lanl.gov/ | SCR_008154 | HPVSD | 2026-08-13 09:27:50 | 4 | |||||||
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University of Arkansas for Medical Sciences Department of Neurobiology and Developmental Sciences Resource Report Resource Website |
University of Arkansas for Medical Sciences Department of Neurobiology and Developmental Sciences (RRID:SCR_007981) | data or information resource, organization portal, department portal, portal | The Department of Neurobiology and Developmental Sciences is structured around three divisions originally intended as academic entities designed to facilitate and support the growth and development of faculty with common interests. Ideally, this will continue to foster the development of programmatic, interdisciplinary funding which would benefit both young and established faculty. The Divisions also provide leadership opportunities for Senior faculty, as they help the Chair with faculty development. In essence, the divisions are sites for mentoring of faculty who need training and skills in specific areas. Many faculty participate in multiple divisions, depending on their needs, interests, and expertise. The three divisions include the Division of Anatomical Education, the Division of Translational Neuroscience, and the Division of Cellular and Molecular Neuroscience. | nif-0000-03861 | SCR_007981 | UAMS | 2026-08-13 09:27:51 | 0 | |||||||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | topical portal, data or information resource, data processing software, data analysis software, narrative resource, software application, short course material, database, training material, software resource, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-08-13 09:27:48 | 887 | |||||||
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U.S. Pig Genome Project Resource Report Resource Website |
U.S. Pig Genome Project (RRID:SCR_008151) | topical portal, data or information resource, database, portal | Database and resources on the pig genome. | embryo, embryonic, environmental, exercise, exposure, fat, feed, feeding, fibroblast, food, foot and mouth disease, function, genetic, acute, additive, alcohol, alcoholism, atherosclerosis, bed, behavior, biological, bone, breed, cancer, cell, chronic, clone, degenerative, density, deposition, dermal, developmental, diabetes, dietary, digestive, disease, genome, genomic, growth, habit, healing, human, hypertension, kidney, mammal, map, melanoma, metabolism, nephropathy, nuclear, nutrition, obesity, omnivore, organ, organism, parenteral, pathogen, pattern, phenotype, phenotypic, physiology, pig, pollutant, population, porcine, prenatal, pulmonary, reproductive, respiratory, retinal, sex, shock, size, social, somatic, structure, swine, taxon, technique, tissue, tobacco, transplantation, variation, vascular, warfare, xenobiotic, model | is listed by: 3DVC | nif-0000-20986 | SCR_008151 | U.S. Pig Genome Project | 2026-08-13 09:27:50 | 0 | |||||||||
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Comparative Saccharinae Genomics Resource Resource Report Resource Website |
Comparative Saccharinae Genomics Resource (RRID:SCR_008153) | topical portal, data or information resource, data processing software, software application, database, software resource, portal, image processing software | The objective of this project is to develop physical maps of the sorghum and rice genomes, based on BAC contigs that are cross-linked to each other and also to genetic maps and BAC islands for other large-genome crops and a library of ca. 50,000 expressed-sequence tags (EST''s) and corresponding cDNA clones, from diverse sorghum organs and developmental states. It also aims to improve understanding of genetic diversity and allelic richness that might be harbored ex situ (in gene banks) or in situ (in nature), and refine techniques for assesing allelic richness and Expedite data acquisition and utilization by a sound parnership between laboratory scientists and computational biologists. Specific goals of developing physical maps of sorghum and rice genomes include: -Enrich cross-links between sorghum and rice by mapping additional rice probes on sorghum. -Apply mapped DNA probes to macroarrays of sorghum, sugarcane, rice, and maize BACs. -Fingerprint 10x BAC libraries of Sorghum bicolor and S. propinquum. Libraries presently 3x and 6x respectively, to be expanded to 10x each. -Use fragment-matching (BAC-RF) method to determine locus-specificity in polyploids. - Contig assembly based on 1-3, plus rice BAC fingerprints generated under a separate Novartis project. -Evaluate methodology for rapid high-throughput assignment of new ESTs to BACs. -Conduct genomic sequencing in a region duplicated in both sorghum and arabidopsis. Selected BACs from sorghum(2), sugarcane, maize, rice, wheat. By improving the understanding of genetic diversity and allelic richness, the goal is to: -Sequence previously mapped sorghum DNA probes. -Discover & characterize 100 single nucleotide polymorphisms (SNPs) from cDNA markers. -Develop colorimetric high-throughput genotyping assays, and utilize to assess genetic diversity in geographically- and phenotypically-diverse sorghums. -Develop colorimetric high-throughput asssays for identifying phytochrome allelic variation, and apply these assays to a core collection representing a large set of genetic resources. -Support informatics group to streamline cataloging of DNA-level information relevant to large genetic resources collections. Lastly, the goals of expediting data acquisition and utilization include: -A new web-based resource for 3D-integration and visualization of structural and functional genomic data will be developed. -New sequence assembly and alignment software SABER (Sequence AssemBly in the presence of ERror), and PRIMAL(Practical RIgorous Multiple ALignment), will be evaluated with reference to existing standards (PHRED, PHRAP). -Specialized image processing and image analysis tools will be developed for acquistion and interpretation of qualitative and quantitative hybridization signals. To deal expeditiously with large volumes of data, parallel processing approaches will be investigated. Sponsors: * National Science Foundation (NSF) * National Sorghum Producers * University of Georgia Research Foundation (UGARF) * Georgia Research Alliance (GRA) | fingerprint, genetic, alignment, allele, allelic, arabidopsis, bac, biologist, cdna, clone, colorimetric, computational, contig, crop, diverse, diversity, dna, genome, genotyping, locus, macroarray, maize, map, marker, nucleotide, organ, phenotypically, physical, phytochrome, polymorphism, polyploid, probe, rice, sorghum, sugarcane, undergraduate, wheat, k-12 program | has parent organization: University of Georgia; Georgia; USA | nif-0000-20996 | http://csgr.agtec.uga.edu/ | SCR_008153 | CSGR | 2026-08-13 09:27:52 | 0 | ||||||||
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AraCyc Resource Report Resource Website 50+ mentions |
AraCyc (RRID:SCR_008109) | data or information resource, database, service resource, data repository, storage service resource | Curated species-specific database present at the Plant Metabolic Network. It has a large number of experimentally supported enzymes and metabolic pathways, but it also houses a substantial number of computationally predicted enzymes and pathways. | enzyme, gene, arabidopsis thaliana, biochemical, pathway, reaction, metabolism, metabolic pathway, data set, data analysis service, web service, FASEB list |
is used by: Arabidopsis Reactome is listed by: 3DVC has parent organization: Plant Metabolic Network |
NSF | PMID:12805578 PMID:15888675 |
The community can contribute to this resource | nif-0000-20811 | http://www.arabidopsis.org/biocyc/index.jsp, http://www.plantcyc.org | SCR_008109 | Arabidopsis enzymes and biochemical pathways database | 2026-08-13 09:27:52 | 69 | |||||
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ActiveDriver Resource Report Resource Website 10+ mentions |
ActiveDriver (RRID:SCR_008104) | ActiveDriver | data analysis software, data processing software, software application, software resource, sequence analysis software | A statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications. | Protein sequence variation, variation interpretation, protein sequence, protein post-translational signaling modifications, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Free, Available for download, Freely available | biotools:ActiveDriver, OMICS_00140 | http://reimandlab.org/software/activedriver/, https://cran.r-project.org/web/packages/ActiveDriver/ActiveDriver.pdf, https://bio.tools/ActiveDriver | SCR_008104 | 2026-08-13 09:27:51 | 27 | |||||||
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Surgical Secondary Events Resource Report Resource Website |
Surgical Secondary Events (RRID:SCR_007894) | SSE | ontology, data or information resource, controlled vocabulary | Memorial Sloan-Kettering Cancer Center''s ontology of surgical secondary events (adverse events). | owl | is listed by: BioPortal | SCR_007894 | 2026-08-13 09:27:47 | 0 | ||||||||||
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Rfam Resource Report Resource Website 1000+ mentions |
Rfam (RRID:SCR_007891) | Rfam, RFAM | data or information resource, analysis service resource, production service resource, database, service resource, data analysis service | The Rfam database is a collection of RNA families, each represented by multiple sequence alignments, consensus secondary structures and covariance models (CMs). The families in Rfam break down into three broad functional classes: Non-coding RNA genes, structured cis-regulatory elements and self-splicing RNAs. Typically these functional RNAs often have a conserved secondary structure which may be better preserved than the RNA sequence. The CMs used to describe each family are a slightly more complicated relative of the profile hidden Markov models (HMMs) used by Pfam. CMs can simultaneously model RNA sequence and the structure in an elegant and accurate fashion. Rfam is also available via FTP. You can find data in Rfam in various ways... * Analyze your RNA sequence for Rfam matches * View Rfam family annotation and alignments * View Rfam clan details * Query Rfam by keywords * Fetch families or sequences by NCBI taxonomy * Enter any type of accession or ID to jump to the page for a Rfam family, sequence or genome | family, genome, clan, structure, non-coding rna, FASEB list | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | Howard Hughes Medical Institute ; University of Manchester; Manchester; United Kingdom ; Wellcome Trust WT077044/Z/05/Z |
PMID:21062808 | http://rfam.sanger.ac.uk/ | SCR_007891 | RFAM, Rfam database | 2026-08-13 09:27:50 | 4040 | ||||||
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Department of Psychiatry, Turner Laboratory Resource Report Resource Website |
Department of Psychiatry, Turner Laboratory (RRID:SCR_008067) | Turner Lab | data or information resource, organization portal, laboratory portal, portal | Dr. Eric Turner''s laboratory studies the mechanisms underlying the development of the nervous system. The vertebrate brain is comprised of a tremendous variety of neurons, each class exhibiting a unique phenotype characterized by the expression of specific neurotransmitter receptors, ion channels, patterns of axonal growth, and synapse formation. The research we conduct focuses on the critical role transcription factors play in the specification of neuronal cell type during development. We are particularly interested in transcription factors of the homeodomain family that bind to DNA and in doing so activate or repress gene expression. One area of study is the role of POU-domain transciption factor Brn3a in axon growth and survival. The primary research areas are: * Neuronal cell fate determination: The expression of regulatory genes is manipulated in living chick embryos using microsurgery and electroporation and the effects on neural marker genes studied. * Molecular mechanisms of gene regulation: Target DNA binding sites of neural transcription factors are biochemically characterized and findings coordinated with sequence data from the mouse and human genomes. * Targeted misexpression of regulatory genes: Transgenic and knockout mouse technology is used to misexpress genes of interest, and the effects on neural marker genes, axonal growth, and cell survival studied. * Global analysis of neural gene expression: Micro-arrays (GeneChips) are employed in conjunction with other areas of study to understand the coordinated regulation of gene expression in the nervous system. Dr. Turner is a member of the University of California, San Diego''s Graduate Program in Neuroscience and Biomedical Sciences Program and accepts students from these two programs. Interesting rotation projects are available using methods ranging from biochemistry and molecular biology to embryology. Additionally, Dr. Turner is also the Director of this NIMH-funded training program for research-oriented psychiatrists, psychologists, and basic neuroscientists working in areas relevant to psychiatry. Typically Fellows spend two years in the program, during which they develop a research project under the close supervision of one of the highly productive members of the UCSD Department of Psychiatry, or another investigator in the La Jolla (UCSD/Salk/Scripps) research community. | electroporation, embryo, embryology, expression, gene, axon, biochemistry, biomedical science, cell, c hick, development, dna, dna binding site, homeodomain, human, knockout technology, microarray, microsurgery, misexpression, molecular biology, molecular mechanism, mouse, nervous system, neural gene, neural marker gene, neural transcription factor, neuronal cell, neuroscience, neuroscientist, psychiatrist, psychologist, regulation, regulatory gene, transcription factor, transgenic technology | has parent organization: University of California at San Diego Department of Psychiatry | nif-0000-10507 | SCR_008067 | UCSD Turner Laboratory, UCSD Psychiatry (Turner''s Lab), Turner Laboratory, Turner Laboratory Developmental Neurobiology Research | 2026-08-13 09:27:51 | 0 | ||||||||
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GeneWindow Resource Report Resource Website 1+ mentions |
GeneWindow (RRID:SCR_008183) | data analysis software, data processing software, software resource, software application | Software tool for pre- and post-genetic bioinformatics and analytical work, developed and used at the Core Genotyping Facility (CGF) at the National Cancer Institute. While Genewindow is implemented for the human genome and integrated with the CGF laboratory data, it stands as a useful tool to assist investigators in the selection of variants for study in vitro, or in novel genetic association studies. The Genewindow application and source code is publicly available for use in other genomes, and can be integrated with the analysis, storage, and archiving of data generated in any laboratory setting. This can assist laboratories in the choice and tracking of information related to genetic annotations, including variations and genomic positions. Features of GeneWindow include: -Intuitive representation of genomic variation using advanced web-based graphics (SVG) -Search by HUGO gene symbol, dbSNP ID, internal CGF polymorphism ID, or chromosome coordinates -Gene-centric display (only when a gene of interest is in view) oriented 5 to 3 regardless of the reference strand and adjacent genes -Two views, a Locus Overview, which varies in size depending on the gene or genomic region being viewed and, below it, a Sequence View displaying 2000 base pairs within the overview -Navigate the genome by clicking along the gene in the Locus Overview to change the Sequence View, expand or contract the genomic interval, or shift the view in the 5 or 3 direction (relative to the current gene) -Lists of available genomic features -Search for sequence matches in the Locus Overview -Genomic features are represented by shape, color and opacity with contextual information visible when the user moves over or clicks on a feature -Administrators can insert newly-discovered polymorphisms into the Genewindow database by entering annotations directly through the GUI -Integration with a Laboratory Information Management System (LIMS) or other databases is possible | gene, genetic, analysis, annotation, archive, bioinformatic, cancer, genome, genomic, genotype, genotyping, human, human genome databases, maps, polymorphism, position, variation, data set |
is listed by: 3DVC has parent organization: National Cancer Institute |
nif-0000-21173 | SCR_008183 | GeneWindow | 2026-08-13 09:27:51 | 1 |
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