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http://cmbi.bjmu.edu.cn/cmbidata/cgf/CGF_Database/cytokine.medic.kumamoto-u.ac.jp/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. A collection of cDNA, gene and protein records of cytokines deposited in public databases provides various information about the cytokine members of vertebrates in other databases including NCBI GenBank, Swiss-Prot, UniGene, TIGR (The Institute for Genomic Research) Gene Indices, Ensembl, Entrez Gene, Mouse Genome Informatics (MGI) and Rat Genome Database (RGD). It also provides orthologous relationship of cytokine members and includes novel members identified in the databases.
Proper citation: Cytokine Family Database (RRID:SCR_008134) Copy
http://animal.dna.affrc.go.jp/agp/index.html
Database of comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. AGP is an animal genome database developed on a Unix workstation and maintained by a relational database management system. It is a joint project of National Institute of Agrobiological Sciences (NIAS) and Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF-Institute), under cooperation with other related research institutes. AGP also contains the Pig Expression Data Explorer (PEDE), a database of porcine EST collections derived from full-length cDNA libraries and full-length sequences of the cDNA clones picked from the EST collection. The EST sequences have been clustered and assembled, and their similarity to sequences in RefSeq, and UniGene determined. The PEDE database system was constructed to store sequences and similarity data of swine full-length cDNA libraries and to make them available to users. It provides interfaces for keyword and ID searches of BLAST results and enables users to obtain sequence data and names of clones of interest. Putative SNPs in EST assemblies have been classified according to breed specificity and their effect on coding amino acids, and the assemblies are equipped with an SNP search interface. The database contains porcine nucleotide sequences and cDNA clones that are ready for analyses such as expression in mammalian cells, because of their high likelihood of containing full-length CDS. PEDE will be useful for researchers who want to explore genes that may be responsible for traits such as disease susceptibility. The database also offers information regarding major and minor porcine-specific antigens, which might be investigated in regard to the use of pigs as models in various medical research applications.
Proper citation: Animal Genome Database (RRID:SCR_008165) Copy
http://www.icn.ucl.ac.uk/motorcontrol/imaging/suit.htm
High-resolution atlas template of the human cerebellum and brainstem, based on the anatomy of 20 young healthy individuals. The atlas is spatially unbiased, i.e. the location of each structure is equal to the expected location of that structure across individuals in MNI space. At the same time, the new template preserves the anatomical detail of cerebellar structures through a nonlinear atlas-generation algorithm. By using automated nonlinear normalization methods, a more accurate intersubject-alignment than current whole-brain methods can be achieved. The toolbox allows you to: * Automatically isolate cerebellar structures from the cerebral cortex based on an anatomical image * Achieve accurate anatomical normalization of cerebellar structures * Normalize functional imaging data for fMRI group analysis * Normalize focal cerebellar lesions for lesion-symptom mapping * Use Voxel-based morphometry (VBM) to determine patterns of cerebellar degeneration or growth * Use a probabilisitc atlas in SUIT space to assign locations to different cerebellar lobuli in an unbiased and informed way * Automatically define ROIs for specific cerebellar lobuli and summarize function and anatomical data * Improve normalization of the deep cerebellar nuclei using an ROI-driven normalization. The suit-toolbox requires Matlab (Version 6.5 and higher) and SPM. The newest version only supports SPM8, although it likely runs under SPM2 or 5 as well. A standalone version for the suit-toolbox is not planned. Usage of the isolation or normalization functions, however, does not require that the analysis is conducted under SPM.
Proper citation: Spatially unbiased atlas template of the cerebellum and brainstem (RRID:SCR_004969) Copy
Center dedicated to understanding and treatment of neurological diseases by creating and using imaging methods to study human nervous system. Dedicated to research imaging of human brain. Brain structure is imaged using anatomical Magnetic Resonance Imaging (aMRI) while brain physiology is imaged using Positron Emission Tomography (PET), Magnetic Resonance Spectroscopy (MRS), functional MRI (fMRI) and magnetoencephalography (MEG). BIC maintains linkages with clinical, clinical research and basic research communities within Montreal Neurological Institute (MNI), McGill University and has collaborations across Quebec, Canada, USA and internationally.
Proper citation: McConnell Brain Imaging Center (RRID:SCR_008364) Copy
http://www.nihclinicalcollection.com
A plated array of approximately 450 small molecules that have a history of use in human clinical trials. The collection was assembled by the National Institutes of Health (NIH) through the Molecular Libraries Roadmap Initiative as part of its mission to enable the use of compound screens in biomedical research. Similar collections of FDA approved drugs have proven to be rich sources of undiscovered bioactivity and therapeutic potential. The clinically tested compounds in the NCC are highly drug-like with known safety profiles. These compounds can provide excellent starting points for medicinal chemistry optimization and, for high-affinity targets, may even be appropriate for direct human use in new disease areas.
Proper citation: NIH Clinical Collection (RRID:SCR_007349) Copy
Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image.
Proper citation: NeuroSynth (RRID:SCR_006798) Copy
A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Intramural Research Program (RRID:SCR_012734) Copy
http://www.cdc.gov/genomics/hugenet/default.htm
Human Genome Epidemiology Network, or HuGENet, 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. Its goals include: establishing an information exchange that promotes global collaboration in developing peer-reviewed information on the relationship between human genomic variation and health and on the quality of genetic tests for screening and prevention; providing training and technical assistance to researchers and practitioners interested in assessing the role of human genomic variation on population health and how such information can be used in practice; developing an updated and accessible knowledge base on the World Wide Web; and promoting the use of this knowledge base by health care providers, researchers, industry, government, and the public for making decisions involving the use of genetic information for disease prevention and health promotion. HuGENet collaborators come from multiple disciplines such as epidemiology, genetics, clinical medicine, policy, public health, education, and biomedical sciences. Currently, there are 4 HuGENet Coordinating Centers for the implementation of HuGENet activities: CDC''s Office of Public Health Genomics, Atlanta, Georgia; HuGENet UK Coordinating Center, Cambridge, UK; University of Ioannina, Greece; University of Ottawa , Ottawa, Canada. HuGENet includes: HuGE e-Journal Club: The HuGE e-Journal Club is an electronic discussion forum where new human genome epidemiologic (HuGE) findings, published in the scientific literature in the CDC''s Office of Public Health Genomics Weekly Update, will be abstracted, summarized, presented, and discussed via a newly created HuGENet listserv. HuGE Reviews: A HuGE Review identifies human genetic variations at one or more loci, and describes what is known about the frequency of these variants in different populations, identifies diseases that these variants are associated with and summarizes the magnitude of risks and associated risk factors, and evaluates associated genetic tests. Reviews point to gaps in existing epidemiologic and clinical knowledge, thus stimulating further research in these areas. HuGE Fact Sheets: HuGE Fact Sheets summarize information about a particular gene, its variants, and associated diseases. HuGE Case Studies: An on-line presentation designed to sharpen your epidemiological skills and enhance your knowledge on genomic variation and human diseases. Its purpose is to train health professionals in the practical application of human genome epidemiology (HuGE), which translates gene discoveries to disease prevention by integrating population-based data on gene-disease relationships and interventions. Students will acquire conceptual and practical tools for critically evaluating the growing scientific literature in specific disease areas. HUGENet Publications: Articles related to the HuGENet movement written by our HuGENet collaborators. HuGE Navigator: An integrated, searchable 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. HuGE Workshops: HuGENet has sponsored meetings and workshops with national and international partners since 2001. Available are detailed summaries, agendas or the ability to download speaker slides. HuGE Book: Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease. (The findings and conclusions in this book are those of the author(s) and do not necessarily represent the views of the funding agency.) HuGENet Collaborators: HuGENet is interested in establishing collaborations with individuals and organizations working on population based research involving genetic information. HuGE Funding: Funding opportunities for specific population-based genetic epidemiology research projects are available. Research initiatives whose aims include assessing the prevalence of human genetic variation, the association between genetic variants and human diseases, the measurement of gene-gene or gene-environment interaction, and the evaluation of genetic tests for screening and prevention are compiled to create a posted listing. Additional information and application details can be found by clicking on the respective links.
Proper citation: Human Genome Epidemiology Network (RRID:SCR_013117) Copy
https://commonfund.nih.gov/hmp/
NIH Project to generate resources to characterize the human microbiota and to analyze its role in human health and disease at several different sites on the human body, including nasal passages, oral cavities, skin, gastrointestinal tract, and urogenital tract using metagenomic and traditional approach to genomic DNA sequencing studies.HMP was supported by the Common Fund from 2007 to 2016.
Proper citation: Human Microbiome Project (RRID:SCR_012956) Copy
http://epigenomesportal.ca/ihec/
A data portal of the International Human Epigenome Consortium which provides access to comprehensive data sets of reference epigenomes relevant to health and disease. The IHEC Data Portal can be used to view, search and download data already released by different IHEC-associated projects. Data are organized by consortium, by tissue, and by assay category. Users can visualize data sets using the data grid provided or the UCSC Genome Browser.
Proper citation: International Human Epigenome Consortium Data Portal (RRID:SCR_014625) Copy
http://ophid.utoronto.ca/mirDIP/
microRNA data integration portal to find microRNAs that target a gene, or genes targeted by a microRNA, in Homo sapiens. Software to integrate prediction databases to elucidate accurate microRNA:target relationships. Used for human microRNA prediction studies.
Proper citation: mirDIP (RRID:SCR_016770) Copy
Ratings or validation data are available for this resource
Human and mouse genome annotation project which aims to identify all gene features in the human genome using computational analysis, manual annotation, and experimental validation.
Proper citation: GENCODE (RRID:SCR_014966) Copy
http://www.nitrc.org/projects/brainlife_io/
Platform for publishing reproducible code and datasets and providing access to national supercomputers, private clouds, and institutional high-performance computer systems to promote open software and data sharing to advance understanding of the human brain.
Proper citation: brainlife.io (RRID:SCR_016513) Copy
Research project to understand the principles underlying nuclear organization in space and time, the role nuclear organization plays in gene expression and cellular function, and how changes in nuclear organization affect normal development and diseases. Portal provides free access to datasets, software packages, and protocols to advance biomedical research of nuclear architecture. Aims to develop and apply approaches to map the structure and dynamics of the human and mouse genomes.
Proper citation: 4D Nucleome (RRID:SCR_016925) Copy
AcceGen offers most complete human and animal cell products and cell/molecular biology services for life science researchers worldwide. Cell line collections include primary cells, tumor cell lines, transfected stable cell lines, stem cells and immortalized cell lines. miRNA agomir/antagomir, nucleic acid kits, enzymes and custom cell/molecular biology services.
Proper citation: AcceGen Biotech (RRID:SCR_017274) Copy
http://www.proteometools.org/index.php?id=home
Project for building molecular and digital tools from human proteome to facilitate biomedical research, drug discovery, personalized medicine and life science research.
Proper citation: ProteomeTools (RRID:SCR_018535) Copy
http://www.scienceexchange.com/facilities/magnetic-resonance-research-facility-mrrf-uiowa
The University of Iowa MR Research Facility was established in August of 2004 with the acquisition of a Siemens Trio 3T scanner, shared between research and clinical usage. While the Center is within the Department of Radiology, it is run as a Core University facility. The facility is managed on a daily basis by Vincent Magnotta, PhD, Alan Stolpen, MD, PhD, and Dan Thedens, PhD. Oversight is provided by a Research Advisory committee that reviews new project proposals and equipment acquisitions. Since its inception, the equipment managed by the Research Center has expanded. In 2006, a research dedicated Siemens Avanto 1.5T scanner was loaned to the University by Siemens Medical Solutions to support research studies. Then, in 2007 an NIH/NCRR High End Instrumentation grant supported the acquisition of a research dedicated Siemens TIM Trio 3T scanner. Standard operating hours for the research-dedicated 3T TIM Trio scanner are from 8:00 a.m. to 6:00 p.m., Monday through Friday. During this time, a technologist is provided to run the scanner. The shared research 3T TIM Trio scanner is available all day Tuesdays (8:00 a.m. - 4:30 p.m.), and Thursday afternoons (12:00 p.m. - 4:30 p.m.) for research studies. The shared Avanto 1.5T scanner is available Mondays, Wednesdays and Fridays from 2:00 p.m. to 4:00 p.m. The scanners are also available after-hours if technologist coverage is available, or if the user is certified to conduct MR studies on their own. The current rate for scanner usage is $600 per hour and can be scheduled in half hour increments.
Proper citation: University of Iowa Magnetic Resonance Research Facility (RRID:SCR_011014) Copy
http://www.scienceexchange.com/facilities/microarray-resource-core-bu
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 22,2024. Microarray Resource Core offers the full line of microarray products available from Affymetrix. This includes expression profiling, miRNA, exon, genotyping, resequencing, and tiling arrays. As part of our standard service, the resource provides assistance with experimental design and data analysis. Arrays for other organisms are available; please contact us for with specific requests.
Proper citation: Boston University Microarray Resource Core (RRID:SCR_012491) Copy
A database that houses human subjects data related to mental health research. Data from 691 subjects are shared in RDoCdb and data from 100,500 subjects are shared in the NIMH Data Archive. Users can plan for data submission, share data, query data, or share their results related to a publication or finding.
Proper citation: RDoCdb (RRID:SCR_013796) Copy
The Aging, Dementia and Traumatic Brain Injury Study is a detailed neuropathologic, molecular and transcriptomic characterization of brains of control and TBI exposure cases from a unique aged population-based cohort from the Adult Changes in Thought (ACT) study. The study contains six data sets: histology and immunohistochemistry, in situ hybridization, rna-seq, protein quantification by luminex, isoprostane quantification, and specimen metadata.
Proper citation: Aging Dementia and Traumatic Brain Injury Study (RRID:SCR_014554) Copy
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