Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
PheKB Resource Report Resource Website 10+ mentions |
PheKB (RRID:SCR_005292) | PheKB | knowledge environment, software resource, software repository | Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group | phenotype, electronic medical record, medical record, human, clinical, white blood cell, red blood cell, lipid, algorithm, height, cardiac conduction, genome-wide association study, natural language processing |
is related to: eMERGE Network: electronic Medical Records and Genomics has parent organization: Vanderbilt University; Tennessee; USA |
Atrial fibrillation, Crohn''''s disease, Multiple Sclerosis, Rheumatoid arthritis, Type 2 diabetes mellitus, Dementia, Cataracts, Hypothyroidism, Diabetic Retinopathy, High-Density Lipoprotein, Peripheral Arterial Disease | PMID:20362271 | nlx_144339 | SCR_005292 | Phenotype KnowledgeBase, PheKB - a knowledgebase for discovering phenotypes from electronic medical records | 2026-08-04 09:41:20 | 28 | ||||||
|
Music and Neuroimaging Laboratory Resource Report Resource Website |
Music and Neuroimaging Laboratory (RRID:SCR_005447) | Music and Neuroimaging Laboratory | portal, topical portal, laboratory portal, organization portal, data or information resource | The human brain has the remarkable ability to adapt in response to changes in the environment over the course of a lifetime. This is the mechanism for learning, growth, and normal development. Similar changes or adaptations can also occur in response to focal brain injuries, e.g., partially-adapted neighboring brain regions or functionally-related brain systems can either substitute for some of the lost function or develop alternative strategies to overcome a disability. Through ongoing research, the Music and Neuroimaging Laboratory''s mission is to: * Reveal the perceptual and cognitive aspects of music processing including the perception and memory for pitch, rhythmic, harmonic, and melodic stimuli. * Investigate the use of music and musical stimuli as an interventional tool for educational and therapeutic purposes. * Reveal the behavioral and neural correlates of learning, skill acquisition, and brain adaptation in response to changes in the environment or brain injury in the developing and adult brain. * Reveal the determinants and facilitators for recovery from brain injury. Project topics include: Aphasia Therapy, Singing and Speaking, Tone Deafness / Congenital Amusia, Motor Recovery Studies, Music and Emotions, Music and Autism, Children and Music Making, Brain Stimulation, Adult Musician Studies, Absolute Pitch Studies, Acute Stroke Studies | neuroimaging, music, autism, human, child, adult, singing, voice, motor system function, brain, brain injury, traumatic brain injury, stroke, emotion | has parent organization: Harvard Medical School; Massachusetts; USA | The Dana Foundation ; International Foundation for Music Research ; Grammy Foundation ; Nancy Lurie Marks Family Foundation ; Sourcetone LLC ; NSF ; NINDS ; NIDCD |
nlx_144538 | SCR_005447 | Music Neuroimaging Laboratory, Music & Neuroimaging Laboratory | 2026-08-04 09:41:21 | 0 | |||||||
|
Johns Hopkins Laboratory of Brain Anatomical MRI Resource Report Resource Website 50+ mentions |
Johns Hopkins Laboratory of Brain Anatomical MRI (RRID:SCR_005280) | Laboratory of Brain Anatomical MRI | portal, laboratory portal, organization portal, database, data or information resource | The goal of our laboratory is to develop new MR technologies to improve the resolution and contrast of MRI and apply them to observe brain anatomy to answer various types of biological questions. Currently we have three major research targets: Characterization of mouse brain development; Human white matter anatomy and development; and Development of diffusion tensor imaging technique and technology dissemination. The DTI database (Under the DTI Download Tab) contains raw and processed DTI data of normal population. Currently we have 2.5 mm isotropic resolution images and 2.2 mm isotropic resolution images. Only 2.5 mm data are available from this site. If you are interested in the high-resolution images, please contact susumu @ mri.jhu.edu. This database is open to public once the user is registered. Basic imaging parameters can be also downloaded. | magnetic resonance imaging, brain, image, human, mouse, diffusion tensor imaging, white matter, brain development, monkey, pediatric, neonate, atlas, template, software, FASEB list | has parent organization: Johns Hopkins University School of Medicine; Baltimore, Maryland; USA | nlx_144314 | SCR_005280 | Johns Hopkins Medical Institute Laboratory of Brain Anatomical MRI | 2026-08-04 09:41:20 | 99 | ||||||||
|
AIDS.gov Resource Report Resource Website 1+ mentions |
AIDS.gov (RRID:SCR_005356) | AIDS.gov | topical portal, portal, data or information resource | AIDS.gov works to increase HIV testing and care among people most at-risk for, or living with, HIV, by using emerging communication strategies to provide access to Federal HIV information, policies (e.g. the National HIV/AIDS Strategy), programs, and resources. Objectives # Expand visibility of timely and relevant Federal HIV policies, programs, and resources to the American public. # Increase use of new media tools by government, minority, and other community partners to extend the reach of HIV programs to communities at greatest risk. # Increase knowledge about HIV and access to HIV services for people most at-risk for, or living with, HIV. Unless otherwise noted, material presented on the AIDS.gov Web site is considered Federal government information and is in the public domain. That means this information may be freely copied and distributed. We request that you use appropriate attribution to AIDS.gov. AIDS.gov receives planning guidance from a cross agency planning group and uses a logic model (70 KB) and Communications Plan (702 KB) to guide AIDS.gov activities. | aids, human, human immunodeficiency virus |
has parent organization: U.S. Department of Health and Human Services is parent organization of: AIDS.gov Podcast is parent organization of: AIDS.gov Blog |
nlx_144415 | SCR_005356 | 2026-08-04 09:41:20 | 6 | |||||||||
|
Beautiful Brain Resource Report Resource Website |
Beautiful Brain (RRID:SCR_005472) | BBBLOG | podcast, narrative resource, data or information resource, blog | The Beautiful Brain explores the latest findings from the ever-growing field of neuroscience through monthly long-form essays, reviews, galleries, short-form blog posts and more, with particular attention to the dialogue between the arts and sciences. The site illuminates important new questions about creativity, the mind of the artist, and the mind of the observer that modern neuroscience is helping us to answer, or at least to provide part of an answer. Instances where art seeks to answer questions of a traditionally scientific nature are also of great interest, and for that reason you will hear from artists as well as scientists on The Beautiful Brain. The Beautiful Brain Podcast also explores the latest findings from the ever-growing field of neuroscience, with particular attention to the dialogue between the arts and sciences. In this monthly program, host Noah Hutton reports on news from the world of brain science, interviews important thinkers about their work, and reviews new literature in the field. The show illuminates important new questions about creativity, the mind of the artist, and the mind of the observer that modern neuroscience is helping us to answer, or at least to provide part of an answer. Instances where art seeks to answer questions of a traditionally scientific nature are also of great interest, and for that reason you will hear from artists as well as scientists on The Beautiful Brain. Subscribe today to receive a brand new episode each month. | neuroscience, art, science, creativity, mind, artist, observer, human, gallery, image | has parent organization: WordPress | nlx_144590 | SCR_005472 | The Beautiful Brain, Beautiful Brain - an online magazine | 2026-08-04 09:41:22 | 0 | ||||||||
|
Neuromorphometrics Resource Report Resource Website 100+ mentions |
Neuromorphometrics (RRID:SCR_005656) | Neuromorphometrics Inc. | portal, software resource, organization portal, service resource, web application, data or information resource | Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas. | brain, human, modeling, measurement, quantitative, volume, shape, location, neuroanatomical, structure, MRI, scan, analysis, database, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: BrainColor: Collaborative Open Labeling Online Resource is related to: 2012 MICCAI Multi-Atlas Labeling Challenge Data is parent organization of: NVM is parent organization of: Manually Labeled MRI Brain Scan Database is parent organization of: MRI Neuroanatomy Labeling Services |
NIMH R43 MH084358 | Free Demo available for download, Commercially available, Discount for academic use available | SCR_014141, nlx_149079 | http://www.nitrc.org/projects/brain_labeling | SCR_005656 | MRI Brain Anatomy Labeling Services, Quantitative Measurements in MR Brain Images | 2026-08-04 09:41:24 | 363 | |||||
|
ChemHealthWeb Resource Report Resource Website |
ChemHealthWeb (RRID:SCR_005851) | ChemHealthWeb | portal, video resource, topical portal, training material, narrative resource, data or information resource | Visit ChemHealthWeb for research highlights, chemist profiles, games and videos and other Web extras. The NIGMS Chemistry of Health booklet describes basic chemistry and biochemistry research that spurs a better understanding of human health. | chemistry, health, chemistry, biochemistry, research, human, game, puzzle, chemist, molecule, medicine, teacher | has parent organization: National Institute of General Medical Sciences | NIGMS | nlx_149382 | SCR_005851 | 2026-08-04 09:41:28 | 0 | ||||||||
|
CNS Forum Resource Report Resource Website |
CNS Forum (RRID:SCR_002777) | CNSforum | portal, topical portal, training material, narrative resource, data or information resource | Forum within psychiatry and neurology aimed at providing updated evidence-based educational resources and information for health care professionals including an opportunity to exchange knowledge and experiences online. The CNSforum includes Educational resources, Clinical resources, Patient Websites, Publications, and a Community forum. Educational resources: * Brain Explorer - A graphical and educational presentation of the brain and the disorders affecting it, aimed at GPs and specialists in training. * Image Bank - A collection of CNS images for download and free use in presentations. Expert Talks Online presentations by leading experts on scientific topics. * Journal Links - A collection of links to websites of scientific journals in neurology and psychiatry. * Film Forum - Specialists discuss mainstream films with a psychiatric or neurological element from an educational point of view. Clinical resources: * Psychiatry Quality Measurement, PQM PQM is and electronic patient database/journal for use by psychiatrists. * Psychotropics - A database of psychotropic and neurological drugs. Rating scales Descriptions of and references to central scales used in psychiatry and neurology as well as an introduction to the topic. * Commented Articles - Commented articles written for CNSforum by leading international specialists. Patient Websites: * DepNet - An online community and information website for people affected by depression. * DementiaNet - An online community and information website for people affected by dementia and their relatives. * Publications (A catalogue of The Lundbeck Institute's publications on topics of clinical relevance in psychiatry and neurology.) * Institute Books, Institute Magazine Community forum: available only for former seminar participants and other members of The Lundbeck Institute Network., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026. | education, educational activities and internet communities, educational presentation, anxiety disorders, best practice, brain disorder, cns compound, cns disease, cns products, dementia, depression, health care professionals, human, lundbeck international neuroscience foundation, medical journals, mood disorders, neurological control, neurological diseases, neurological drugs, neurologists, neurology, old age, online communities, partnership, psychiatric, psychiatric disorders, psychiatrists, psychiatry, psychiatry quality measurement, psychopathology, psychotropic drugs, psychotropics, publications, quality measurement system, quality of life, schizophrenia, scientific journals | is parent organization of: CNSforum: Image Bank | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00435 | SCR_002777 | Lundbeck Institute CNSforum, Lundbeck Institute CNS Forum | 2026-08-04 09:40:44 | 0 | |||||||
|
Honey Bee Genome Project Resource Report Resource Website 1+ mentions |
Honey Bee Genome Project (RRID:SCR_002890) | topical portal, portal, data or information resource | The HGSC has sequenced the honey bee, Apis mellifera. The version 4.0 assembly was released in March 2006 and published in October 2006. The genome sequence is being upgraded with additional sequence coverage. The honey bee is important in the agricultural community as a producer of honey and as a facilitator of pollination. It is a model organism for studying the following human health issues: immunity, allergic reaction, antibiotic resistance, development, mental health, longevity and diseases of the X chromosome. In addition, biologists are interested in the honey bee's social organization and behavioral traits. This project was proposed to the HGSC by a group of dedicated insect biologists, headed by Gene Robinson. Following a workshop at the HGSC and a honey bee white paper, the HGSC began the project in 2002. A 6-fold coverage WGS, BAC sequence from pooled arrays, and an initial genome assembly (Amel_v1.0) were released beginning in 2003. This has been a challenging project with difficulty in recovering AT-rich regions. The WGS data had lower coverage in AT-rich regions and BAC data from clones showed evidence of internal deletions. Additional reads from AT enriched DNA addressed these underrepresented regions. The current assembly Amel_4.0 was produced with Atlas and includes 2.7 million reads (1.8 Gb) or 7.5x coverage of the (clonable) genome. About 97% of STSs, 98% of ESTs, and 96% of cDNAs are represented in the 231 Mb assembly. About 2,500 reads were also produced from a strain of Africanized honey bee and SNPs were extracted. These were released in dbSNP and the NCBI Trace Archive. Analysis of the genome by a consortium of 20 labs has been completed. This produced a gene list derived from five different methods melded through the GLEAN software. Publications include a main paper in Nature and up to forty companion papers in Genome Research and Insect Molecular Biology. Sponsors: Sequencing of the honey bee is jointly funded by National Human Genome Research Institute (NHGRI) and the Department of Agriculture (USDA). Multiple drones from the same queen (strain DH4) were obtained from Danny Weaver of B. Weaver Apiaries. All libraries were made from DNA isolated from these drones. The honey bee BAC library (CHORI-224) was prepared by Pieter de Jong and Katzutoyo Osoegawa at the Children's Hospital Oakland Research Institute. | gene, agricultural, allergy, antibiotic, apis mellifera, array, behavioral, biologist, chromosome, development, disease, genome, heath, honey bee, human, immunity, insect, mental heath, organism, pollination, reaction, resistance, sequence, trait | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25604 | http://www.hgsc.bcm.tmc.edu/project-species-i-Apis%20mellifera.hgsc?pageLocation=Apis%20mellifera | SCR_002890 | Honey Bee | 2026-08-04 09:40:46 | 4 | |||||||
|
Pathway Genomics Resource Report Resource Website 10+ mentions |
Pathway Genomics (RRID:SCR_002883) | analysis service resource, production service resource, service resource, biomaterial analysis service, material analysis service | The mission of Pathway Genomics is to empower you with the most secure, comprehensive and affordable personal genomic information available and to become your partner in utilizing that information to improve your health and wellness. Pathway is the only DNA testing service with an on-site federal and state CLIA-licensed laboratory. This means it offers: - Better Science: Its certified geneticists are on-staff and on-site in our own state-of-the-art laboratory in California. Their 10,600 square foot, high-complexity CLIA licensed lab facility is equipped with the latest high-throughput robotics and Affymetrix, Illumina and Sequenom genotyping equipment. As scientists committed to staying on the cutting-edge, they diligently monitor all new developments in the rapidly evolving DNA research field allowing us to provide you immediate access to more meaningful markers than any other DNA testing firm. - Better Security: Because Pathway Genomics has its own laboratory, your DNA never leaves the building, and is never shared with third parties. At Pathway Genomics the integrity of your genetic material and information are protected. Instead, enjoy the security of our proprietary DNA Lockbox. Everyone has the right to know the secrets hidden within their own DNA. That's why Pathway has created the most secure, comprehensive and affordable way to unlock those secrets. This way you can: - Identify genetic health and drug response - Personalize your medical care - Help your doctor help you - Uncover your ancestral path - Explore the traits that make you unique With Personal DNA Testing, you can take preventative steps to improve your future, and even extend your life. Pathway Genomics provides cutting-edge research and easy-to-read scientific information customized for you, and you alone, based on your genes and your lifestyle. For the first time in human history, modern science has made it possible for you to learn your genetic predisposition for more than 90 diseases and conditions, drug responses and pre-pregnancy carrier status. With this powerful knowledge and our easy-to-understand guidance, you can modify your health regime so that you may live a healthier, longer life. DNA testing will discover more about your personal heritage than you ever thought possible. We uncover your deep ancestry by taking giant leaps into the past, going back more than 10,000 years. We test both your mitochondrial DNA, which is passed down from mother to child and reveals your direct maternal ancestry; and your Y chromosome (males only), which is passed down from father to son and reveals your direct paternal ancestry. If you're like most people, you've always wondered about the genes you have inherited and what traits you will pass on to future generations. Discover your genetically inherited predispositions and characteristics and whether they are beneficial or potentially harmful. You may also find that some traits are simply fun to uncover. | gene, genetics, dna, health, human, laboratory, research, science, testing, wellness | Free | nif-0000-25571 | SCR_002883 | Pathway | 2026-08-04 09:40:45 | 22 | |||||||||
|
NeuronDB Resource Report Resource Website 10+ mentions |
NeuronDB (RRID:SCR_003105) | NeuronDB | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | Database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments. | NMDA, LTP, brain, cellular, cerebellum, cortex, dendrite, human, invertebrate, ion channel, molecular, mouse, neuroinformatics, neuron, neuronal property, neurotransmitter receptor, neurotransmitter substance, olfactory, physiology, rat, receptor, retina, voltage gated conductance, rodent, rat, non-human animal |
is used by: NIF Data Federation is listed by: Biositemaps is related to: ModelDB is related to: Integrated Manually Extracted Annotation has parent organization: Yale University; Connecticut; USA works with: MicrocircuitDB |
Human Brain Project ; Multidisciplinary University Research Initiative (MURI) ; NIDCD RO1 DC 009977 |
PMID:17510162 PMID:10223520 |
Free, Available for download, Freely available | nif-0000-00054 | https://bioregistry.io/registry/neurondb | SCR_003105 | Neuron DB, Neuron database, Neuron DataBase | 2026-08-04 09:40:49 | 10 | ||||
|
CBU Imaging Wiki Resource Report Resource Website 50+ mentions |
CBU Imaging Wiki (RRID:SCR_003014) | CBU Imaging Wiki | topical portal, portal, data or information resource | Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease. | neuroimaging, cognitive neuroscience, mri, scanner, neuroscience, emotion, memory, language, learning, functional neuroimaging, clinical, population, human, analysis, software, disease, brain, imaging, fmri, cognition |
is related to: FslAtlasIntegration has parent organization: MRC Cognition and Brain Sciences Unit is parent organization of: MNI brain and the Talairach atlas is parent organization of: MNI brain and the Talairach atlas |
Depressive Disorder, Anxiety, Parkinson's disease, Alzheimer's disease | MRC | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30307 | SCR_003014 | CBUImaging, MRC CBU Imaging Wiki, MRC Cognition and Brain Sciences Unit Imaging Wiki, Cognition and Brain Sciences Unit Imaging Wiki | 2026-08-04 09:40:47 | 58 | |||||
|
Biomarkers Consortium Resource Report Resource Website 1+ mentions |
Biomarkers Consortium (RRID:SCR_003121) | BC | portal, funding resource, consortium, organization portal, data or information resource | Consortium serving to develop and qualify promising biomarkers in order to help accelerate the delivery of successful new technologies, medicines and therapies for prevention, early detection, diagnosis and treatment of disease. Current core disease areas of focus include Cancer, Inflammation and Immunity, Metabolic Disorders, and Neuroscience. One of the most difficult tasks facing biomarker assessment and evaluation is harmonizing the approaches of various stakeholders--government, industry, non-profits and foundations, providers, and academic institutions. Consortium founding members and other partners recognize the critical need for a coordinated cross-sector partnership effort. The Biomarkers Consortium brings together the expertise and resources of various partners to rapidly identify, develop, and qualify potential high-impact biomarkers. Biomarkers Consortium Goals: * Facilitate the development and qualification of biomarkers using new and existing technologies; * Help qualify biomarkers for specific applications in diagnosing disease, predicting therapeutic response or improving clinical practice; * Generate information useful to inform regulatory decision making; * Make consortium project results broadly available to the entire scientific community. | human, biomarker, clinical, translational research, drug development, preventive medicine, medical diagnostics, consortium, biomarker development, neuroscience |
is listed by: Consortia-pedia has parent organization: Foundation for the National Institutes of Health is parent organization of: I-SPY 2 TRIAL |
NIH Blueprint for Neuroscience Research | Free, Freely available | nif-0000-00559 | SCR_003121 | The Biomarkers Consortium, FNIH Biomarkers Consortium | 2026-08-04 09:40:49 | 9 | ||||||
|
CCHMC Pediatric Brain Templates Resource Report Resource Website 1+ mentions |
CCHMC Pediatric Brain Templates (RRID:SCR_003276) | Pediatric Brain Templates | reference atlas, atlas, data or information resource, image collection | Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate. | brain, child, human, normal, pediatric, spatial normalization, template, tissue segmentation, visualization, young human, neuroimaging | is related to: SPM | Normal, Healthy | Free, Freely available | nif-0000-01274 | https://jiscmail.ac.uk/cgi-bin/wa-jisc.exe?A2=SPM;981fd215.02 | SCR_003276 | 2026-08-04 09:40:52 | 3 | ||||||
|
HuGE Navigator - Human Genome Epidemiology Navigator Resource Report Resource Website 100+ mentions |
HuGE Navigator - Human Genome Epidemiology Navigator (RRID:SCR_003172) | HuGE Navigator | data computation service, database, data or information resource, bibliography | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. Knowledge base of genetic associations and human genome epidemiology including information on population prevalence of genetic variants, gene-disease associations, gene-gene and gene- environment interactions, and evaluation of genetic tests. This tool explores HuGENet, the Human Genome Epidemiology Network, which is a global collaboration of individuals and organizations committed to the assessment of the impact of human genome variation on population health and how genetic information can be used to improve health and prevent disease. What does HuGE Navigator offer? *HuGEpedia - an encyclopedia of human genetic variation in health and disease, includes, Phenopedia and Genopedia. Phenopedia allows you to look up gene-disease association summaries by disease, and Genopedia allows you to look up gene-disease association summaries by gene. In general, HuGEpedia is a searchable database that summarizes published articles about human disease and genetic variation, including primary studies, reviews, and meta-analyses. It provides links to Pubmed abstracts, researcher contact info, trends, and more. *HuGEtools - searching and mining the literature in human genome epidemiology, includes, HuGE Literature Finder, HuGE Investigator Browser, Gene Prospector, HuGE Watch, Variant Name Mapper, and HuGE Risk Translator. *HuGE Literature Finder finds published articles in human genome epidemiology since 2001. The search query can include genes, disease, outcome, environmental factors, author, etc. Results can be filtered by these categories. It is also possible to see all articles in the database for a particular topic, such as genotype prevalence, pharmacogenomics, or clinical trial. *HuGE Investigator Browser finds investigators in a particular field of human genome epidemiology. This info is obtained using a behind-the-scenes tool that automatically parses PubMed affiliation data. *Gene Prospector is a gateway for evaluating genes in relation to disease and risk factors. This tool allows you to enter a disease or risk factor and then supplies you with a table of genes associated w/your query that are ranked based on strength of evidence from the literature. This evidence is culled from the HuGE Literature Finder and NCBI Entrez Gene - And you're given the scoring formula. The Gene Prospector results table provides access to the Genopedia entry for each gene in the list, general info including links to other resources, SNP info, and associated literature from HuGE, PubMed, GWAS, and more. It is a great place to locate a lot of info about your disease/gene of interest very quickly. *HuGE Watch tracks the evolution of published literature, HuGE investigators, genes studied, or diseases studied in human genome epidemiology. For example, if you search Trend/Pattern for Diseases Studied you'll initially get a graph and chart of the number of diseases studied per year since 1997. You can refine these results by limiting the temporal trend to a category or study type such as Gene-gene Interaction or HuGE Review. *Variant Name Mapper maps common names and rs numbers of genetic variants using information from SNP500Cancer, SNPedia, pharmGKB, ALFRED, AlzGene, PDGene, SZgene, HuGE Navigator, LSDBs, and user submissions. *HuGE Risk Translator calculates the predictive value of genetic markers for disease risk. To do so, users must enter the frequency of risk variant, the population disease risk, and the odds ratio between the gene and disease. This information is necessary in order to yield a useful predictive result. *HuGEmix - a series of HuGE related informatics utilities and projects, includes, GAPscreener, HuGE Track, Open Source. GAPscreener is a screening tool for published literature on human genetic associations; HuGE Track is a custom track built for HuGE data in the UCSC Genome Browser; and Open Source is infrastructure for managing knowledge and information from PubMed. | environment, epidemiology, gene, genetic, genetic associations, genetic markers, genome, disease, human, human disease, predictive value, prevalence, publications, risk factors, test evaluations, variance, FASEB list |
has parent organization: Centers for Disease Control and Prevention works with: Kinase Associated Neural Phospho Signaling |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00573 | http://hugenavigator.net/HuGENavigator/home.do | SCR_003172 | 2026-08-04 09:40:50 | 117 | |||||||
|
Human Variome Project Resource Report Resource Website 10+ mentions |
Human Variome Project (RRID:SCR_003492) | HVP | knowledge environment, narrative resource, standard specification, international standard specification, data or information resource | Project facilitating the establishment and maintenance of standards systems and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The Human Variome Project produces two categories of recommendations: HVP Standards and HVP Guidelines. HVP Standards are those systems, procedures and technologies that the Human Variome Project Consortium has determined should be used by the community. These carry more weight than the less prescriptive HVP Guidelines, which cover those systems, procedures and technologies that the Human Variome Project Consortium has determined would be beneficial for the community to adopt. HVP Standards and Guidelines are central to supporting the work of the Human Variome Project Consortium and cover a wide range of fields and disciplines, from ethics to nomenclature, data transfer protocols to collection protocols from clinics. They can be thought of as both technical manuals and scientific documents, and while the impact of HVP Standards and Guidelines differ, they are both generated in a similar fashion. A document has been generated both as a guide for those collecting and distributing data and for those developing policy. Items should include those generated by HGVS/HVP collaborators as well as those generated by groups of individual Societies and Standards bodies in all relevant fields worldwide. | genetics, genomics, clinical, diagnosis, disease, human, genetic variation, variome, data sharing | is listed by: OMICtools | Genetic disease | Genomic Disorders Research Center ; Howard Florey Institute ; Human Genome Variation Society ; University of Melbourne; Victoria; Australia ; Victorian State Government ; CASS Foundation ; Gandel Foundation ; Pierce Armstrong Foundation ; Helen MacPherson Trust ; UNESCO |
nif-0000-36300, OMICS_00282 | SCR_003492 | The Human Variome Project | 2026-08-04 09:40:55 | 29 | ||||||
|
MGH-USC Human Connectome Project Resource Report Resource Website 100+ mentions |
MGH-USC Human Connectome Project (RRID:SCR_003490) | MGH/UCLA HCP | portal, material service resource, production service resource, service resource, instrument manufacture, data or information resource | A multi-center project comprising two distinct consortia (Mass. Gen. Hosp. and USC; and Wash. U. and the U. of Minn.) seeking to map white matter fiber pathways in the human brain using leading edge neuroimaging methods, genomics, architectonics, mathematical approaches, informatics, and interactive visualization. The mapping of the complete structural and functional neural connections in vivo within and across individuals provides unparalleled compilation of neural data, an interface to graphically navigate this data and the opportunity to achieve conclusions about the living human brain. The HCP is being developed to employ advanced neuroimaging methods, and to construct an extensive informatics infrastructure to link these data and connectivity models to detailed phenomic and genomic data, building upon existing multidisciplinary and collaborative efforts currently underway. Working with other HCP partners based at Washington University in St. Louis they will provide rich data, essential imaging protocols, and sophisticated connectivity analysis tools for the neuroscience community. This project is working to achieve the following: 1) develop sophisticated tools to process high-angular diffusion (HARDI) and diffusion spectrum imaging (DSI) from normal individuals to provide the foundation for the detailed mapping of the human connectome; 2) optimize advanced high-field imaging technologies and neurocognitive tests to map the human connectome; 3) collect connectomic, behavioral, and genotype data using optimized methods in a representative sample of normal subjects; 4) design and deploy a robust, web-based informatics infrastructure, 5) develop and disseminate data acquisition and analysis, educational, and training outreach materials. | human, structural, functional, neural, white matter, fiber, brain, in vivo, genomic, neuroimaging, visualization, neuroanatomy, genotype, connectivity, connectivity model, neural pathway, phenomic, connectomics, quantification, scanner, eeg, meg, shape analysis, spatial transformation, diffusion spectrum, q-ball, tensor metric, fiber tracking, connectome, behavior, scanner, web resource, diffusion spectrum, q-ball, tensor metric, quantification, shape analysis, spatial transformation, fiber tracking, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: Laboratory of Neuro Imaging has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: NIH Human Connectome Project is parent organization of: USC Multimodal Connectivity Database |
Normal | NIH ; NIH Blueprint for Neuroscience Research |
Open unspecified license, (BSD/MIT-Style), LONI Software License, Public Domain | nif-0000-35789 | http://www.nitrc.org/projects/hcp_mgh-ucla | SCR_003490 | Harvard/MGH-UCLA Human Connectome Project, Harvard/MGH-UCLA Consortium: Human Connectome Project, HCP Harvard/MGH-UCLA, MGH/UCLA Consortium: Human Connectome Project | 2026-08-04 09:40:55 | 165 | ||||
|
ProbeMatchDB 2.0 Resource Report Resource Website |
ProbeMatchDB 2.0 (RRID:SCR_003433) | ProbeMatchDB | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | Matches a list of microarray probes across different microrarray platforms (GeneChip, EST from different vendors, Operon Oligos) and species (human, mouse and rat), based on NCBI UniGene and HomoloGene. The capability to match protein sequence IDs has just been added to facilitate proteomic studies. The ProbeMatchDB is mainly used for the design of verification experiments or comparing the microarray results from different platforms. It can be used for finding equivalent EST clones in the Research Genetics sequence verified clone set based on results from Affymetirx GeneChips. It will also help to identify probes representing orthologous genes across human, mouse and rat on different microarray platforms. | experiment, human, microarray, mouse, oligo, operon, platform, probe, protein, proteomic, rate, sequence, study, gene, est, cdna, sts marker, orthologous gene, ortholog, microarray probe, nucleotide sequence |
is related to: UniGene is related to: HomoloGene has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan Microarray Network ; Nancy Pritzker Depression Research Network ; Department of Psychiatry pilot study ; NIMH L99 MH60398; NIDA R21 DA13754-01 |
PMID:11934751 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33156 | SCR_003433 | 2026-08-04 09:40:54 | 0 | ||||||
|
Sage Bionetworks Resource Report Resource Website 100+ mentions |
Sage Bionetworks (RRID:SCR_003384) | nonprofit organization | Non-profit biomedical research organization developing predictors of disease and accelerating health research through creation of open systems, incentives, and standards. Formed to coordinate and link academic and commercial biomedical researchers through Commons that represents new paradigm for genomics intellectual property, researcher cooperation, and contributor evolved resources. | bionetwork, medical, research, human, treatment, disease, biological, biomedical, genomic, development, diagnostic, therapeutic, molecular, meta-data, model, clinical, bioinformatics, drug, consortium, data sharing, software |
is listed by: Consortia-pedia is parent organization of: CommonMind Consortium is parent organization of: Sage Bionetworks Podcasts is parent organization of: Key Driver Analysis is parent organization of: Synapse |
Free, Freely available | Wikidata: Q891621, nif-0000-32903, grid.430406.5, SCR_004425, ISNI: 0000 0004 6023 5303, nlx_42820 | https://ror.org/049ncjx51 | http://sagebase.org/commons/repository.php | SCR_003384 | 2026-08-04 09:40:53 | 119 | |||||||
|
CommonMind Consortium Resource Report Resource Website 1+ mentions |
CommonMind Consortium (RRID:SCR_000139) | CommonMind | topical portal, portal, data or information resource | Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org. | molecular data, neuropsychiatric disease, human, data, brain bank, brain, dna, rna | has parent organization: Sage Bionetworks | Neuropsychiatric disease | Sage Bionetworks ; Mount Sinai School of Medicine; New York; USA ; University of Pennsylvania; Pennsylvania; USA ; Takeda ; NIMH |
nlx_144615 | http://commonmind.org/WP/ | SCR_000139 | 2026-08-04 09:40:04 | 4 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
