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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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TaLasso Resource Report Resource Website 1+ mentions |
TaLasso (RRID:SCR_001726) | TaLasso | analysis service resource, production service resource, service resource, data analysis service, software resource | Tool for quantification of human miRNA-mRNA Interactions. TaLasso is also available as Matlab or R code. | mirna, mrna, matlab, r, gene expression, gene |
is listed by: OMICtools has parent organization: Autonomous University of Madrid; Madrid; Spain |
PMID:22348024 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00417 | SCR_001726 | 2026-08-13 09:26:30 | 1 | |||||||
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FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | data processing software, software application, image analysis software, data visualization software, software resource | Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS. | processing, analysis, human, brain, MRI, image, reconstruction, cortical, surface, fMRI, data |
is used by: Wisconsin Cortical Thickness Analysis (CTA) Toolbox is used by: freesurfR is used by: Automatic Analysis is used by: NHP Freesurfer is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian is listed by: SoftCite is related to: PySurfer is related to: RFT FDR is related to: FMRLAB is related to: TRACULA is related to: BASH4RfMRI has parent organization: Harvard University; Cambridge; United States has plug in: JOSA works with: NIAG Addiction Data |
NCRR U24 RR021382; NINDS R01 NS052585; NCRR RR014075 |
PMID:22248573 | Free, Available for download, Freely available | nif-0000-00304 | https://sources.debian.org/src/freesurfer/, http://www.nitrc.org/projects/freesurfer, http://surfer.nmr.mgh.harvard.edu/fswiki/DownloadAndInstall | SCR_001847 | 2026-08-13 09:26:28 | 12664 | |||||
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Biological Pathways Exchange Resource Report Resource Website 50+ mentions |
Biological Pathways Exchange (RRID:SCR_001681) | ontology, data or information resource, project portal, controlled vocabulary, portal | Community standard for pathway data sharing. Standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Supports data exchange between pathway data groups and thus reduces complexity of interchange between data formats by providing accepted standard format for pathway data. Open and collaborative effort by community of researchers, software developers, and institutions. BioPAX is defined in OWL DL and is represented in RDF/XML format.Uses W3C standard Web Ontology Language, OWL. | Standard language, community standard, pathway data sharing, biological pathway data, data exchange, W3C standard, Web Ontology Language, OWL, |
is listed by: BioPortal is related to: cPath is related to: Biofactoid is related to: PathGuide: the pathway resource list |
U.S. Department of Energy Workshop ; NHGRI P41HG004118 |
PMID:20829833 | Free, Available for download, Freely available | SCR_009881, nlx_157327, nif-0000-10171 | http://purl.bioontology.org/ontology/BP | SCR_001681 | BioPAX, BioPAX: Biological Pathways Exchange | 2026-08-13 09:26:25 | 90 | |||||
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Brain Dynamics Centre Resource Report Resource Website |
Brain Dynamics Centre (RRID:SCR_001685) | topical portal, data or information resource, database, portal | The Brain Dynamics Centre (BDC) is a network of centers and units. It achieves a unique exploration of the healthy brain and disorders of brain function. It translates these insights into new ways to tailor treatments to the individual. There approach is: "integrative neuroscience" - bringing together clinical observations, theory, and modern imaging technologies. And it's theoretical framework derives from linking physiology, psychology and evolution. Additionally, BDC also actively researches ADHD and conduct disorder, stress and trauma-related problems, depression and anxiety, anorexia nervosa, psychosis (including early onset) and conversion disorders. The research facilities DBC include assessment, rooms, two cognition-brain function laboratories, genotyping and an MRI Suite with 1.5 and 3T GE systems. BDC is the coordinating site for an international network - BRAINnet. It has over 180 members, and coordinates access to the first standardized database on the human brain for scientific purposes: Brain Resource International Database. | evolution, function, genetics, adhd, anorexia nervosa, anxiety, behavior, brain, brain disorder, brain imaging, clinical, cognition, conduct disorder, conservation disorder, database, depression, disorder, genotyping, healthy, human, keywords: brain, laboratory, mental illness, mri, neuroscience, onset, physiology, post traumatic stress disorder (ptsd), psychology, psychosis, research, stress, technology, trauma, treatment | Free, Freely Available | nif-0000-10177 | SCR_001685 | BDC | 2026-08-13 09:26:25 | 0 | |||||||||
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ezDICOM Resource Report Resource Website 1+ mentions |
ezDICOM (RRID:SCR_001686) | data processing software, software application, image analysis software, standalone software, software resource, image processing software | Software designed to display most medical images, including MRI, CT, X-ray, and ultrasound. All versions of ezDICOM can automatically detect the format of a medical image and display it on the screen. The software is easy to use, mature, and can view a wide range of medical images including proprietary formats as well as images in the DICOM standard. The software will also automatically recognize and display Analyze, GE (LX, Genesis), Interfile, Siemens (Magnetom, Somatom) and NEMA images. | image processing, image analysis, open source, standalone software | is related to: DICOM standard | Free, Available for download, Freely available | nif-0000-00296 | SCR_001686 | ezDICOM DICOM Viewer | 2026-08-13 09:26:26 | 3 | ||||||||
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Duke University Medical Center: Duke Image Analysis Laboratory Resource Report Resource Website 10+ mentions |
Duke University Medical Center: Duke Image Analysis Laboratory (RRID:SCR_001716) | topical portal, data or information resource, database, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Duke Image Analysis Laboratory (DIAL) is committed to providing comprehensive imaging support in research studies and clinical trials to various agencies. The capabilities of the lab include protocol development, site training and certification, and image archival and analysis for a variety of modalities including magnetic resonance imaging, magnetic resonance spectroscopy, computed tomography and nuclear medicine. DIAL uses the latest technologies to analyze Magnetic Resonance Imaging (MRI) data sets of the brain. Currently the lab is engaged in measurement of the hippocampus, amygdala, caudate, ventricular system, and other brain regional volumes. Each of these techniques have undergone a rigorous validation process. The measurements of brain structures provide a useful means of non-invasively testing for changes in the brain of the patient. Changes over time in the brain can be detected, and evaluated with respect to the treatment that the patient is receiving. Magnetic Resonance Spectroscopy (MRS) allows DIAL to obtain an accurate profile of the chemical content of the brain. This sensitive technique can detect small changes in the metabolic state of the brain; changes that vary in response to administration of therapeutic agents. The ability to detect these subtle shifts in brain chemistry allows DIAL to identify changes in the brain with more sensitivity than allowed by image analysis. In this respect, NMR spectroscopy can provide early detection of changes in the brain, and serves to compliment the data obtained from image analysis. Additionally, DIAL also contains SQUID (Scalable Query Utility and Image Database). It is an image management system developed to facilitate image management in research and clinical trials: SQUID offers secure, redundant image storage and organizational functions for sorting and searching digital images for a variety of modalities including MRI, MRS, CAT Scan, X-Ray and Nuclear Medicine. SQUID can access images directly from DUMC scanners. Data can also be loaded via DICOM CDs, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | academic, amygdala, analysis, biotechnology, brain, cat scan, caudate, chemical, clinical, computed, development, digital, hippocampus, imaging, lab, laboratory, magnetic resonance imaging, magnetic resonance spectroscopy, medical, medicine, metabolic, mri, mrs, nmr, nuclear, nuclear medicine, pharmaceutical, research, spectroscopy, structure, technology, therapeutic, tomography, treatment, trial, ventricular, ventricular system, volume, x-ray, FASEB list | has parent organization: Duke University; North Carolina; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10213 | SCR_001716 | DMC DIAL | 2026-08-13 09:26:25 | 33 | ||||||||
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Stable Isotope Labeling with Amino Acids in Cell Culture Resource Report Resource Website 500+ mentions |
Stable Isotope Labeling with Amino Acids in Cell Culture (RRID:SCR_001873) | topical portal, data or information resource, portal | Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and straightforward approach for in vivo incorporation of a label into proteins for mass spectrometry (MS)-based quantitative proteomics. SILAC relies on metabolic incorporation of a given "light" or "heavy" form of the amino acid into the proteins. The method relies on the incorporation of amino acids with substituted stable isotopic nuclei (e.g. deuterium, 13C, 15N). In an experiment, two cell populations are grown in culture media that are identical except that one of them contains a "light" and the other a "heavy" form of a particular amino acid (e.g. 12C and 13C labeled L-lysine, respectively). When the labeled analog of an amino acid is supplied to cells in culture instead of the natural amino acid, it is incorporated into all newly synthesized proteins. After a number of cell divisions, each instance of this particular amino acid will be replaced by its isotope labeled analog. Since there is hardly any chemical difference between the labeled amino acid and the natural amino acid isotopes, the cells behave exactly like the control cell population grown in the presence of normal amino acid. It is efficient and reproducible as the incorporation of the isotope label is 100%. SILAC Applications: - Differential expression of proteins and identification of disease biomarkers - Cell signaling dynamics - Analysis of yeast pheromone signaling pathway - Identification of methylation sites - Identification of protease substrates - Study of protein complexes/protein interactions - Analysis of signaling pathways and effect of pharmacological inhibitors - Subcellular proteomics Sponsors: Supported in part by an NIH Roadmap grant Technology Center for Networks & Pathways of Lysine Modification. | amino acid, analog, biomarker, cell culture, cell division, cell signal, chemical, deuterium, disease, inhibitor, in vivo, isotope, labeling, lysine, mass spectrometry, media, metabolic, methylation site, nucleus, pharmacological, protease, protein, protein complex, protein interaction, proteomics, signaling pathway, subcellular, substrate, yeast pheromone | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10435 | SCR_001873 | SILAC | 2026-08-13 09:26:31 | 673 | |||||||||
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Internet Atlas of Histology Resource Report Resource Website |
Internet Atlas of Histology (RRID:SCR_001745) | topical portal, data or information resource, narrative resource, training material, slide, curriculum material, portal | This portal leads to the Internet Atlas of Histology. This atlas allows you to explore the complete set of histological specimens that features many excellent plastic sections prepared by Aulikki Kokko-Cunningham, M.D. Also called University of Illnois at Urbana-Champaign, the College of Medicine: Internet Atlas of Histology Over 1000 labeled histological features are labeled and have accompanying functional descriptions. All of this information is accessible though an alphabetical index and a search engine. This resource has images categorized in: - Slides: Links to all of the specimens - Objects:Index of histological features Sponsors: This resource is supported by UIUC. | electron micrograph, electron microscopy, endocrine, epithelium, female reproductive system, blood, bone, bone marrow, cell, circulatory system, connective tissue, cross section, digestive tract, histology, immune system, light microscopy, male reproductive system, muscle, nervous system, object, respiratory system, scanning electron microscopy (sem), sense organ, skin, specimen, tissue, transmission electron microscopy (tem), urinary system, image | has parent organization: University of Illinois at Urbana-Champaign; Illinois; USA | Free, Freely Available | nif-0000-10251 | https://histo.life.illinois.edu/histo/atlas/index.php | SCR_001745 | UICU Histology Atlas | 2026-08-13 09:26:31 | 0 | |||||||
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Animal QTLdb Resource Report Resource Website 50+ mentions |
Animal QTLdb (RRID:SCR_001748) | Animal QTLdb | data or information resource, database, service resource, data repository, storage service resource | Database of trait mapping data, i.e. QTL (phenotype / expression, eQTL), candidate gene and association data (GWAS) and copy number variations (CNV) mapped to livestock animal genomes, to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features, such as annotated genes. QTLdb is open to house QTL/association date from other animal species where feasible. Most scientific journals require that any original QTL/association data be deposited into public databases before paper may be accepted for publication. User curator accounts are provided for direct data deposit. Users can download QTLdb data from each species or individual chromosome. | chromosome, comparative genomics, dna sequence, genome, livestock, quantitative trait locus, non-human animal, structural genomics, single-nucleotide polymorphism, gene association, genomics, trait, copy number variation, trait, phenotype, expression, eqtl, genome wide association study, candidate gene, genotype |
uses: Entrez Gene uses: Ensembl is used by: NIF Data Federation is used by: MONARCH Initiative is listed by: re3data.org is related to: Ensembl Variation is related to: Vertebrate Trait Ontology has parent organization: Iowa State University; Iowa; USA has parent organization: NAGRP Bioinformatics Coordination Program |
USDA NRSP-8; USDA 2007-04187 |
PMID:23180796 PMID:17245610 |
Free, Freely available | nif-0000-02550, r3d100010744 | http://www.animalgenome.org/QTLdb/ | SCR_001748 | Animal QTL database, Animal Quantitative Trait Loci database, AnimalQTLdb, Animal Quantitative Trait Loci (QTL) database | 2026-08-13 09:26:31 | 56 | ||||
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SPRUSTON / KATH LAB: Neuraling Modeling Database NEURAL MODELING DATABASE Resource Report Resource Website 1+ mentions |
SPRUSTON / KATH LAB: Neuraling Modeling Database NEURAL MODELING DATABASE (RRID:SCR_001869) | data or information resource, simulation software, software application, database, software resource | This database contains morphologies of hippocampal pyramidal cells and interneurons (in Neurolucida, NEURON, and pdf formats) as well as data recorded from those cells. Sponsors:This work was supported by grants from the NIH (T32-GM-08061 to T.J.M., F32-NS-10532 to N.L.G., and R01-NS35180 and R01-NS 46064 to N.S. and W.L.K.) and NSF (IGERT fellowship to Y.K.). NS46064 is part of the NSF/NIH Collaborative Research in Computational Neuroscience Program | cell, hippocampal, interneuron, morphology, neurolucida, neuron, pyramidal cell | Free, Freely available | nif-0000-10434 | http://www.northwestern.edu/neurobiology/faculty/spruston/sk_models/ | SCR_001869 | SPRUSTON / KATH LAB | 2026-08-13 09:26:27 | 5 | ||||||||
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South African National Bioinformatics Institute: Resources Resource Report Resource Website |
South African National Bioinformatics Institute: Resources (RRID:SCR_001867) | data or information resource, organization portal, data processing software, data analysis software, software application, database, software resource, portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. The South African National Bioinformatics Institute delivers biomedical discovery appropriate to both international and African context. Researchers at SANBI perform the highest level of research and provide excellence in education. Research at SANBI has set well recognized milestones in the field of computational biology. The tools and techniques used have not only been developed but also implemented across heterogeneous domains of advanced research. Local and international efforts have driven our discoveries. Until recently, the core of SANBIs research has focused upon gene expression biology. Methods developed and applied at SANBI revolve around a greater understanding of the underlying causes of diseases. SANBI approaches the problem by comparison of genes, genomes and transcriptomes. It uses computational gene expression biology to create novel biological insights and to provide biomarkers for experimental validation. It also performs analysis of human genome variation, transcriptional diversity on both the expression and splicing level and the unravelling of transcriptional regulatory networks. Resources - Hinv, STACKdb, Malaria resources and Trypanosome databases are available for on-line seaching. - SANBI offers WCD, STACKdb, stackPACK and eVOC and the eVOKE viewer as tools that can be downloaded. Sponsors: SANBI receives funding and support from a range of organisations in South Africa and Internationally. Organisations currently supporting SANBI include: South Africa * South African Medical Research Council * South African AIDS Vaccine Initiative * National Bioinformatics Network * National Research Foundation * Claude Leon Foundation * International Business Machines Inc. Europe * European Unions 6th Framework Programme * World Health Organization USA * US National Institutes of Health * Fogarty International Centre * Ludwig Institute for Cancer Research | expression, gene, gene expression, bioinformatics, biological, biology, biomaker, biomedical, computational biology, disease, genome, heterogeneous domain, human, splicing, transcriptional diversity, transcriptional regulatory network, transcriptome, variation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10432 | SCR_001867 | SANBI | 2026-08-13 09:26:29 | 0 | |||||||||
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Spike Train Analysis Software by Attila Szucs: Orbital Spike 4 Resource Report Resource Website 1+ mentions |
Spike Train Analysis Software by Attila Szucs: Orbital Spike 4 (RRID:SCR_001868) | data analysis software, data processing software, software resource, software application | Orbital Spike is a tool for time series analysis. It contains a wide range of methods to analyze data from point processes such as spike arrival times, heart beats or other behavioral episodes. It is optimized this program for spike trains but it works with other types of data, too. The program can analyze up to 8 channels recorded simultaneously each containing a maximum of 132,000 events (spikes). Assuming an average firing rate of 10 Hz for a neuron, you can then analyze a time series of approximately 3 and half hours long. There are up to 8 panels shown in the Orbital Spike desktop. The panels will contain the kind of data of interest. The graphs are associated with a bunch of parameters like window width, bin size, resolution, delay etc. All these parameters are listed in the parameter box, which appears on the right side of the desktop. It is pretty easy to change the parameters and what is nice, the corresponding graph(s) will be recalculated immediately. You can also use a dialog box to change parameters. There are a lot of functions, statistics, graphs and diagrams available. A few of them are: * Interspike interval sequences * ISI Poincar * maps or return maps Instantaneous firing rate * ISI histograms and probability densities * Joint ISI and MSI probability densitograms * Autocorrelation, crosscorrelation * Spike density functions using kernel estimators * Fourier-amplitude spectrum and spectogram * Symbolic maps, recurrence plots * Phase plots of spike density functions Sponsors: Support for this work came from the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Engineering and Geosciences, under Grants DE-FG03-90ER14138 and DE-FG03-96ER14592; from the Office of Naval Research under Grant N00014-00-1-0181; from the National Science Foundation under Grant PHY0097134; from the National Institutes of Health under Grants R01 NS-40110-01A2 and 1RO1 NS-40110; and from the Army Research Office under Contract DAAD19-01-1-0026. R. D. Pinto was supported by the State of Sao Paulo Research Foundation (FAPESP). | firing rate, fourier-amplitude spectrum, analyze, behavioral episode, density, interspike interval sequence, neuron, spectogram, spike | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10433 | SCR_001868 | Orbital Spike 4 | 2026-08-13 09:26:31 | 1 | |||||||||
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George Mason University: Krasnow Institute for Advanced Study Resource Report Resource Website |
George Mason University: Krasnow Institute for Advanced Study (RRID:SCR_001741) | data or information resource, organization portal, postdoctoral program resource, training resource, portal | The Krasnow Institute seeks to expand understanding of mind, brain, and intelligence by conducting research at the intersection of the separate fields of cognitive psychology, neurobiology, and the computer-driven study of artificial intelligence and complex adaptive systems. These separate disciplines increasingly overlap and promise progressively deeper insight into human thought processes. The Institute also examines how new insights from cognitive science research can be applied for human benefit in the areas of mental health, neurological disease, education, and computer design. It is this informed access to mind and brain that is the core of the mission of The Krasnow Institute. While their goals and tools are scientific, they also are fully cognizant of the applications of the results for the benefit of mankind, in areas like mental health, neurological diseases, and computer design. In asking the major questions they realized the necessity of being flexible, innovative, and trans-disciplinary. Therefore, they became dedicated to bringing together scholars from a wide variety of specialties and providing a milieu where they can be both productive and interactive. This institute will provide these researchers with the tools required to move ahead and create an environment of optimal scientific integrity coupling innovation with risk taking. The Krasnow institute is especially attuned to the deep insights from evolutionary biology, which is at the root of understanding all organismic functions including cognition; computer studies of complex systems, which present a revolution in our ability to deal with the world of interactive agents; and a long history of cognitive psychology, which provides a huge data base of human abilities and responses. It also continues to develop its long-term research program based on the contributions of George Mason University faculty holding joint appointments at Krasnow and other GMU academic departments. Additionally, the Krasnow Institute Department of Molecular Neuroscience, together with the College of Science (COS) and the College of Humanities and Social Sciences (CHSS), oversees the campus-wide Neuroscience Council in developing the Neuroscience PhD curriculum. Research groups in the Krasnow institute include: - Adaptive Systems Laboratory - Center for Neural Dynamics - Center for Social Complexity - Center for the Study of Neuroeconomics o Neuroeconomics Laboratory - Comparative Vertebrate Neurobiology Research Group - Center for Neuroinformatics, Neural Structures, and Neuroplasticity (CN3) o Computational and Experimental Neuroplasticity (CENlab) o Computational Neuroanatomy Group o Physiological and Behavioral Neuroscience in Juveniles (PBNJ) Lab - Receptor Complexes and Signaling Lab - Krasnow Investigations of Developmental Learning and Behavior (KIDLAB) - Neuro Imaging Core of the Krasnow Institute | dynamics, education, emotion, evolutionary, function, adaptive, artificial, behavior, behavioral, biology, biomedical, brain, cognition, cognitive, cognitive science, complex, computational, computer, design, disease, happiness, homo sapiens, human, imaging, intelligence, learning, mental health, mind, nature, neural, neuroanatomy, neurobiology, neuroeconomics, neuroinformatics, neurological, neuroplasticity, organismic, physiological, psychology, receptor, research, signaling, social, structure, system, theological, thought, vertebrate |
has parent organization: George Mason University; Virginia; USA is parent organization of: BraVa is parent organization of: Computational Neuroanatomy Group |
Free, Freely Available | nif-0000-10239 | SCR_001741 | GMU Kransnow | 2026-08-13 09:26:26 | 0 | ||||||||
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San Diego County Medical Society Resource Report Resource Website |
San Diego County Medical Society (RRID:SCR_001854) | SDCMS | topical portal, data or information resource, portal | The San Diego County Medical Society (SDCMS) is a non-profit organization designed to address San Diego healthcare needs for all patients and physicians through innovation, education and service. The SDCMS Foundation is advancing several innovative programs and initiatives: - The Emergency Department Medical Home (EDMH) Project matches uninsured patients in the emergency department with public and private medical coverage and establishes a medical home for them at local community health centers. - Project Access San Diego (PASD) is a program that connects eligible, low-income, uninsured patients with physicians who provide deeply discounted or pro bono care. - The SDCMS Foundation has also established five medical student scholarships at the UCSD School of Medicine. | education, healthcare, innovation, medical, patient, physician, service | Free, Freely available | nif-0000-10416 | SCR_001854 | SDCMS | 2026-08-13 09:26:27 | 0 | ||||||||
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SeattleSNPs - Variation Discovery Resource Resource Report Resource Website 50+ mentions |
SeattleSNPs - Variation Discovery Resource (RRID:SCR_001859) | topical portal, data or information resource, narrative resource, training material, software resource, portal | The SeattleSNPs PGA is focused on identifying, genotyping, and modeling the associations between single nucleotide polymorphisms (SNPs) in candidate genes and pathways that underlie inflammatory responses in humans. SeattleSNPs is focused on variation analysis in genes related to the inflammatory response. These gene targets are found in specific pathways and from interacting molecules contributing to this response. Available Resources: - Baseline assembled and complete genomic sequence and chromosomal location for candidate gene targets - Mapping of exon and repeat structure for candidate genes - Amplification primers and conditions - SNPs mapped by location in gene structure - SNPs with immediate surrounding sequence for genotype assay design - Genotypes and relative allele frequencies of the SNPs - Special features of SNPs - location (5', coding, etc.), amino acid substitutions, recurrent variation - Manuals on all protocols, data analysis procedures, and use of software tools - Workshop on genetic variation analysis and a gene submission program for variation analysis Sponsors: SeattleSNPs is funded as part of the National Heart Lung and Blood Institute's (NHLBI) Programs for Genomic Applications (PGA). | exon, gene, gene target, allele, amino acid, amplification, assay, chromosomal, genomic sequence, genotyping, humans, inflammatory response, molecule, pathway, primer, recurrent varation, repeat structure, singe nucleotide polymorphism (snp), substitution, variation analysis | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10423 | http://pga.mbt.washington.edu/ | SCR_001859 | SeattleSNPs | 2026-08-13 09:26:27 | 62 | ||||||||
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Sea Urchin Genome Project Resource Report Resource Website 1+ mentions |
Sea Urchin Genome Project (RRID:SCR_001735) | data or information resource, portal, project portal | Provides informationa about Genome of California Purple Sea Urchin, one species (Strongylocentrotus purpuratus) of which has been sequenced and annotated by Sea Urchin Genome Sequencing Consortium led by HGSC. Reports sequence and analysis of genome of sea urchin Strongylocentrotus purpuratus, a model for developmental and systems biology. | echinoderm, evolutionary, fragile urchin, gene, genome, allocentrotus fragilis, bacterial artificial chromosome (bac), biology, chromosome, clone, core facility, deuterostome, developmental biology, heterozygosity, metabase, model, sea urchin, sequence, shotgun, strongylocentrotus franciscanus, strongylocentrotus purpuratus, systems biology, vertebrate | has parent organization: Baylor University; Texas; USA | Free, Freely Available | nif-0000-25606, SCR_002841, nif-0000-10253 | http://www.hgsc.bcm.tmc.edu/project-species-o-Strongylocentrotus%20purpuratus.hgsc?pageLocation=Strongylocentrotus%20purpuratus | SCR_001735 | Sea Urchin, HGSC Sea Urchin Genome Project | 2026-08-13 09:26:31 | 1 | |||||||
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Axel Database Resource Report Resource Website |
Axel Database (RRID:SCR_001890) | Axeldb | data or information resource, database, service resource, data repository, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 21, 2011. Database focusing on gene expression in the frog Xenopus laevis, it is the web companion to the research papers describing a large-scale in situ hybridization screening in Xenopus embryos. The goals of this large-scale in situ screen project are to identify genes by the characterization of their expression pattern, to partially sequence the corresponding cDNAs and to maintain a database collecting the results. | gene, gene expression, cdna, clone, in situ hybridization, nucleotide sequence, xenopus laevis, embryo xenopus | has parent organization: German Cancer Research Center | HFSP ; Pierre et Marie Curie Fellowship |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02590 | SCR_001890 | 2026-08-13 09:26:29 | 0 | |||||||
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Johns Hopkins NIMH Research Center Novel Therapeutics of HIV-associated Cognitive Disorders Resource Report Resource Website |
Johns Hopkins NIMH Research Center Novel Therapeutics of HIV-associated Cognitive Disorders (RRID:SCR_001891) | topical portal, data or information resource, portal | The Johns Hopkins NIMH Center is comprised of an interdisciplinary research team who has pooled their talents to study the nature of HIV-associated neurocognitive disorders (HAND). Their aim is to translate discoveries of the pathophysiological mechanisms into novel therapeutics for HAND. Objectives * To integrate aspects of ongoing research in HAND and SIV encephalitis * Develop high-throughput and screening assays for identifying novel therapeutic compounds * Use proteomics and lipidomics approaches to indentifying surrogate markers of disease activity * Disseminate information and education about HAND through existing and new educational systems, including the JHU AIDS Education Training Center and the JHU Center for Global Clinical Education * Facilitate the entry of new investigators into Neuro-AIDS research, and to catalyze new areas of research, particularly where relevant for drug discovery or the development of validated surrogate markers | drug, aids, clinical, cognitive disorder, dementia, developmental, hiv, hiv-associated dementia, neurological, neuroscience, oxidative stress, pathophysiological, proteomics, siv encephalitis, therapeuptic | has parent organization: Johns Hopkins University School of Medicine; Baltimore, Maryland; USA | NIMH P30MH075673 | nif-0000-10462 | SCR_001891 | JHU NIMH Center for Novel Therapeutics of HIV-associated Cognitive Disorders, Johns Hopkins National Institute of Mental Health Center for Novel Therapeutics of HIV-associated Cognitive Disorders, Johns Hopkins National Institute of Mental Health (NIMH) Center for Novel Therapeutics of HIV-associated Cognitive Disorders | 2026-08-13 09:26:31 | 0 | ||||||||
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Longhorn Array Database Resource Report Resource Website |
Longhorn Array Database (RRID:SCR_001895) | LAD | data or information resource, data processing software, data analysis software, software application, database, data storage software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Longhorn Array Database (LAD) is a MIAME compliant microarray database that operates on PostgreSQL and Linux. It is a fully open source version of the Stanford Microarray Database (SMD), one of the largest microarray databases. LAD provides a simple, free, open, reliable and proven solution for storage and analysis of two-color microarray data. It stores raw and normalized data from microarray experiments, as well as their corresponding image files. In addition, LAD provides interfaces for data retrieval, analysis, and visualization. | microarray | is related to: SMD | NIAAA AA13518 | PMID:12930545 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10465 | http://www.longhornarraydatabase.org/index.html | SCR_001895 | 2026-08-13 09:26:31 | 0 | |||||
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Atlas3D Resource Report Resource Website 10+ mentions |
Atlas3D (RRID:SCR_001808) | data or information resource, data processing software, software application, data visualization software, atlas, software resource | A multi-platform visualization tool which allows import and visualization of 3-D atlas structures in combination with tomographic and histological image data. The tool allows visualization and analysis of the reconstructed atlas framework, surface modeling and rotation of selected structures, user-defined slicing at any chosen angle, and import of data produced by the user for merging with the atlas framework. Tomographic image data in NIfTI (Neuroimaging Informatics Technology Initiative) file format, VRML and PNG files can be imported and visualized within the atlas framework. XYZ coordinate lists are also supported. Atlases that are available with the tool include mouse brain structures (3-D reconstructed from The Mouse Brain in Stereotaxic Coordinates by Paxinos and Franklin (2001)) and rat brain structures (3-D reconstructed from The Rat Brain in Stereotaxic Coordinates by Paxinos and Watson (2005)). Experimental data can be imported in Atlas3D and warped to atlas space, using manual linear registration, with the possibility to scale, rotate, and position the imported data. This facilitates assignment of location and comparative analysis of signal location in tomographic images. | analysis, brain, histological, mouse, rat, slicing, structure, 3d, tomographic, visualization, neuroimaging, image, magnetic resonance, visualization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Oslo; Oslo; Norway |
Research Council of Norway ; NIH ; NIBIB R01-EB00790; NCRR U24-RR021382 |
Free, Freely available | nif-0000-10373 | http://www.nitrc.org/projects/incf_atlas3d | SCR_001808 | Neural Systems and Graphics Computing Laboratory: Atlas3D Software, NeSys Atlas3D | 2026-08-13 09:26:31 | 18 |
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