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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Trinity Biobank Resource Report Resource Website 1+ mentions |
Trinity Biobank (RRID:SCR_013279) | Trinity Biobank | biomaterial supply resource, material resource | The Trinity Biobank was established in 2005 to serve the needs of researchers in the area of genetic epidemiology, population genetics and pharmacogenomics. Its services are available to researchers not only in Trinity College but to other institutions at home and abroad. We provide an automated DNA extraction service purifying large volumes blood (up to 10mL whole blood) and tissue DNA for archival and other purposes. In addition it makes available purified DNA and associated GWAS data from 2000 healthy donors for research use. A key requirement for reliable downstream use of DNA is purity and strand size. The quality of DNA in blood and tissue deteriorates upon storage without purification even at -80 degrees C. We ensure rapid turnaround of biological samples through automated extraction using the Qiagen Autopure system based on optimized ''salting out'' chemistry. The purified DNA sample may then be stored safely at -20 degrees C without deterioration thus freeing up valuable -80 degree C freezer space and the associated capital and maintenance cost as well as security and lab space provision. Automated DNA extraction is particularly suitable for high-throughput sample processing called for in epidemiological studies or simply for clearing sample inventory backlogs. The Trinity Biobank distributes control DNA to researchers as part of its remit to enhance the level of research activity and to synergize molecular medicine research nationally and internationally. The buffy coat collection has been made possible with the cooperation of the Irish Blood Transfusion Service (IBTS). An important requirement to access the collection is that the use of the samples relates only to ethically-approved research and to specifically-nominated research projects. The DNA collection consists of high quality human genomic DNA. Each of the available 2,000 samples is from a single individual and each sample comes with the age and gender data of the donor. The buffy coat sample is derived from the total white cell compliment (50mL buffy coat) of a blood donation (c 400mL). We will endeavor to fulfill samples number requests based on age and gender as best as possible. This collection has also been genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0, featuring 1.8 million genetic markers, including more than 906,600 single nucleotide polymorphisms (SNPs) and more than 946,000 probes for the detection of copy number variation (CNV). The DNA comes available as a 100ng/uL in 100uL of TE Buffer, ie in 10ug amounts in a separate screw-cap ampoule. The ampoules are shipped in 100-tube boxes (Sarstedt). Corresponding plasma (ACD) is also available on request. Genotype data is supplied in PLINK binary PED files format (http://pngu.mgh.harvard.edu/~purcell/plink/ ). | dna, blood, tissue, buffy coat, cell, packed cell, cultured cell, buccal cell, whole blood, bodily fluid, fresh, frozen, healthy, normal, genetic epidemiology, population genetics, pharmacogenomics, gene, genetics, genome-wide association study, genome-wide association study data, genotype, dna extraction, non-mammalian, bacteria, gram-positive bacteria, gram-negative bacteria |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Trinity College Dublin; Dublin; Ireland has parent organization: St. James Hospital; Dublin; Ireland |
Healthy, Normal | Public: Its services are available to researchers not only in Trinity College but to other institutions at home and abroad. The Trinity Biobank distributes control DNA to researchers as part of its remit to enhance the level of research activity and to synergize molecular medicine research nationally and internationally. It makes available purified DNA and associated GWAS data from 2000 healthy donors for research use. | nlx_25068 | http://www.tcd.ie/IMM/research_biobank.php | SCR_013279 | 2026-08-29 11:31:04 | 3 | ||||||
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IXI dataset Resource Report Resource Website 10+ mentions |
IXI dataset (RRID:SCR_005839) | IXI dataset | data or information resource, data set, portal, project portal | Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system | neuroimaging, structural mri assay, magnetic resonance angiography, nifti, t1, t2, pd, dti, demographic, normal, healthy, adult, mri, brain, image collection |
is used by: NIF Data Federation has parent organization: Imperial College London; London; United Kingdom |
Normal, Healthy | EPSRC GR/S21533/02 | Acknowledgement requested | nlx_149360 | http://brain-development.org/ | SCR_005839 | Information eXtraction from Images dataset | 2026-08-29 11:22:25 | 38 | ||||
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Automatic Registration Toolbox Resource Report Resource Website 10+ mentions |
Automatic Registration Toolbox (RRID:SCR_005993) | ART | data or information resource, data processing software, image analysis software, image collection, image processing software, software application, software resource, software toolkit | ART ''''acpcdetect'''' program for automatic detection of the AC and PC landmarks and the mid-sagittal plane on 3D structural MRI scans. ART ''''brainwash'''' program for automatic multi-atlas skull-stripping of 3D structural MRI scans. ART ''''3dwarper'''' program of non-linear inter-subject registration of 3D structural MRI scans. Software (art2) for linear rigid-body intra-subject inter-modality (MRI-PET) image registration. Data resource: The ART projects makes available corpus callosum segmentations of 316 normal subjects from the OASIS cross-sectional database. ART ''''yuki'''' program for fast, robust, and fully automatic segmentation of the corpus callosum on 3D structural MRI scans. | artifact removal, intermodal, intersubject, intramodal, intrasubject, image-to-template, nearest neighbor, spline interpolation, tri-linear, affine warp, nonlinear warp, image display, corpus callosum, segmentation, mri, registration, structural mri, image registration, pet, nifti |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Open Access Series of Imaging Studies has parent organization: Nathan S. Kline Institute for Psychiatric Research; New York; USA |
Normal | Free, Non-commercial | nlx_151368 | SCR_005993 | 2026-08-29 11:22:29 | 23 | |||||||
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Brain Test Resource Report Resource Website |
Brain Test (RRID:SCR_006212) | Brain Test | data or information resource, portal, topical portal | A portal of online studies that encourage community participation to tackle the most challenging problems in neuropsychiatry, including attention-deficit / hyperactivity disorder, schizophrenia, and bipolar disorder. Our approach is to engage the community and try to recruit tens of thousands of people to spend an hour of their time on our site. You folks will provide data in both brain tests and questionnaires, as well as DNA, and in return, we will provide some information about your brain and behavior. You will also be entered to win amazon.com gift cards. While large collaborative efforts were made in genetics in order to discover the secrets of the human genome, there are still many mysteries about the behaviors that are seen in complex neuropsychiatric syndromes and the underlying biology that gives rise to these behaviors. We know that it will require studying tens of thousands of people to begin to answer these questions. Having you, the public, as a research partner is the only way to achieve that kind of investment. This site will try to reach that goal, by combining high-throughput behavioral assessment using questionnaires and game-like cognitive tests. You provide the data and then we will provide information and feedback about why you should help us achieve our goals and how it benefits everyone in the world. We believe that through this online study, we can better understand memory and attention behaviors in the general population and their genetic basis, which will in turn allow us to better characterize how these behaviors go awry in people who suffer from mental illness. In the end, we hope this will provide better, more personalized treatment options, and ultimately prevention of these widespread and extremely debilitating brain diseases. We will use the data we collect to try to identify the genetic basis for memory and impulse control, for example. If we can achieve this goal, maybe we can then do more targeted research to understand how the biology goes awry in people who have problems with cognition, including memory and impulse control, like those diagnosed with ADHD, Schizophrenia, Bipolar Disorder, and Autism Spectrum Disorders. By participating in our research, you can learn about mental illness and health and help researchers tackle these complex problems. We can''t do it without your help. | neuropsychiatry, brain, behavior, behavioral assessment, questionnaire, cognitive test, crowdsourcing, online study, memory, attention, brain disease, gene, exercise, genetics, mental disease, mental health, research project, research | has parent organization: University of California at Los Angeles; California; USA | Attention deficit-hyperactivity disorder, Schizophrenia, Bipolar Disorder, Mental disease, Normal, Autism Spectrum Disorder | NIMH ; NARSAD |
nlx_151777 | SCR_006212 | Brain Test project | 2026-08-29 11:22:34 | 0 | ||||||
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Embryo Imaging Resource Report Resource Website 1+ mentions |
Embryo Imaging (RRID:SCR_006329) | Embryo Imaging | data or information resource, data set, image collection, video resource | Collection of high resolution images and movies of mouse and human embryos produced using high resolution episcopic microscopy (HREM). Each data set is a series of block-face images generated during sectioning through an entire embryo, typically cut at 2-3 micrometers. Datasets are organized by approximate developmental stage and each embryo has been assigned a specimen ID (SID) for identification. This is an ongoing project funded by the Wellcome Trust to provide comprehensive imaging of normal and mutant mouse embryos that will complement the standard anatomical texts and form the basis for systematic phenotyping. * Movies: A 3D reconstruction shows each embryo, and lower resolution movies created through each orthogonal plane enable you to quickly review the data set. * Image Stacks: In the stack viewer, you can step through the images in sequence, zoom in to see fine details and adjust the image contrast. * NEW: Embryo Comparison: Two image stacks can now be compared in the stack viewer. | embryo, embryonic mouse, movie, high resolution image stack, image stack, comparison, high resolution episcopic microscopy, 3d reconstruction, imaging | Normal, Mutant | Wellcome Trust | Creative Commons Attribution-NonCommercial-ShareAlike License | nlx_152031 | SCR_006329 | 2026-08-29 11:22:36 | 4 | |||||||
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Brad Smith Magnetic Resonance Imaging of Embryos Resource Report Resource Website |
Brad Smith Magnetic Resonance Imaging of Embryos (RRID:SCR_006300) | Brad Smith MRI of Embryos | data or information resource, data set, image collection, video resource | Data set of image collections and movies including Magnetic Resonance Imaging of Embryos, Human Embryo Imaging, MRI of Cardiovascular Development, and Live Embryo Imaging. Individual MRI slice images, three-dimensional images, animations, stereo-pair animations, animations of organ systems, and photo-micrographs are included. | embryo, magnetic resonance imaging, embryonic development, magnetic resonance microscopy, cardiovascular development, cardiovascular, development, heart, blood vessel, in-utero, in-vitro, embryonic mouse, newborn mouse, embryonic human |
is related to: Magnetic Resonance Microscopy of Mouse Embryo Specimens is related to: Multi-Dimensional Human Embryo has parent organization: University of Michigan; Ann Arbor; USA |
Normal, Mutant, Gentically-manipulated | nlx_151971 | SCR_006300 | Brad Smith Research MRI of Embryos, Brad Smith Research | 2026-08-29 11:22:34 | 0 | |||||||
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MSIsensor Resource Report Resource Website 100+ mentions |
MSIsensor (RRID:SCR_006418) | MSIsensor | software resource | A C++ software program for automatically detecting somatic and germline variants at microsatellite regions. It computes length distributions of microsatellites per site in paired tumor and normal sequence data, subsequently using these to statistically compare observed distributions in both samples. | c++, somatic variant, germline variant, microsatellite, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Tumor, Normal | PMID:24371154 | Copyrighted, See LICENSE | biotools:msisensor, OMICS_02192 | https://bio.tools/msisensor | SCR_006418 | 2026-08-29 11:22:39 | 168 | |||||
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The Human Protein Atlas Resource Report Resource Website 5000+ mentions |
The Human Protein Atlas (RRID:SCR_006710) | HPA | data or information resource, knowledge base | Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome. | human proteins, human proteome exploration, genome-wide analysis of human proteins, Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction, bio.tools, FASEB list |
is used by: MitoMiner is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: aGEM has parent organization: HUPO Antibody Initiative |
Cancer, Tumor, Breast cancer, Colorectal cancer, Lung cancer, Prostate cancer, Normal | Knut and Alice Wallenberg Foundation | PMID:21139605 PMID:16127175 PMID:18669619 PMID:18853439 |
Public, Free, For informational purposes, Non-commercial, Acknowledgement required | nif-0000-00204, biotools:proteinatlas | https://bio.tools/proteinatlas | SCR_006710 | HPA antibody, Human Protein Atlas | 2026-08-29 11:22:42 | 9312 | |||
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Cardiovascular Model Repository Resource Report Resource Website |
Cardiovascular Model Repository (RRID:SCR_002679) | data or information resource, data repository, image collection, service resource, storage service resource | Repository of geometric models collected from on-going and past research projects in the Cardiovascular Biomechanics Research Laboratory at Stanford University. The geometric models are mostly built from imaging data of healthy and diseased individuals. For each of the models, a short description is given with a reference. The geometric models are in VTK PolyData XML .vtp format. * Audience: Biomechanical and computational researchers interested in complex models of cardiovascular applications * Long Term Goals and Related Uses: Allow users to download geometric models for cardiovascular applications. These geometric models can be used for research purposes, such as meshing and scientific visualization. Users are welcome to contact the project administrator, join the project and contribute additional models. | aneurysm, arteriofemoral bypass, cardiovascular simulation, image-based geometric modeling, simvascular, stent, vtk, healthy, diseased, normal, cardiovascular, model, cardiovascular model, cardiovascular system, bypass, palmaz-stent, aorta, source code |
is listed by: Biositemaps has parent organization: Simtk.org |
Normal, Cardiovascular disease, Healthy | Free, Available for download, Freely available | nif-0000-23301 | SCR_002679 | 2026-08-29 11:21:18 | 0 | ||||||||
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UMMC Center for Psychiatric Neuroscience Labs and Facilities Resource Report Resource Website |
UMMC Center for Psychiatric Neuroscience Labs and Facilities (RRID:SCR_002688) | UMMC CPN Labs & Facilities, UMMC CPN Labs and Facilities | biomaterial supply resource, brain bank, material resource, tissue bank | Core facility that provides access to psychiatrically characterized post-mortem brain specimens, state-of-the-art equipment, cutting-edge technologies and the technical advice of highly trained faculty members who serve as Core Directors. The sophisticated imaging systems and biotechnologically advanced molecular core resources are provided on a shared-use basis to CPN and UMMC researchers. The CPN Research Resources Cores include the Human Brain Collection Core, Animal Core, Imaging Core, Molecular Biology Core, and Information Technologies Core. | postmortem, brain, tissue, imaging, molecular biology, genomics |
is listed by: One Mind Biospecimen Bank Listing is listed by: ScienceExchange is related to: University of Mississippi Medical Center Labs and Facilities is related to: University of Mississippi Medical Center Animal Behavior Core Facility has parent organization: University of Mississippi Medical Center; Mississippi; USA |
Depression, Normal, Mental disease | NCRR | Free | SciEx_8930 | SCR_002688 | CPN Research Resource Cores, University of Mississippi Medical Center Center for Psychiatric Neuroscience, UMMC Center for Psychiatric Neuroscience Research Resource Cores, UMMC Center for Psychiatric Neuroscience Labs & Facilities, UMMC CPN Research Resource Cores | 2026-08-29 11:21:18 | 0 | |||||
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DGAP Resource Report Resource Website 1+ mentions |
DGAP (RRID:SCR_003036) | DGAP | data or information resource, database, experimental protocol, narrative resource, resource | Produce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself. | gene, insulin action, predisposition, gene expression, metabolic abnormality, diabetes, insulin resistance, genetics, insulin, genetic variation, proteomics, genomics, affymetrix oligonucleotide array, microarray, protein, genomic sequence, data set |
is related to: NIDDK Information Network (dkNET) has parent organization: Harvard Medical School; Massachusetts; USA has parent organization: Broad Institute has parent organization: Dana-Farber Cancer Institute has parent organization: University of Massachusetts Medical School; Massachusetts; USA has parent organization: University of Southern Denmark; Odense; Denmark |
Type 2 diabetes, Normal, Insulin resistance | NIDDK | PMID:19786482 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30414 | SCR_003036 | The Diabetes Genome Anatomy Project, Diabetes Genome Anatomy Project | 2026-08-29 11:21:20 | 9 | ||||
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SomaticCall Resource Report Resource Website |
SomaticCall (RRID:SCR_001196) | SomaticCall | software resource | Software program that finds single-base differences (substitutions) between sequence data from tumor and matched normal samples. It is designed to be highly stringent, so as to achieve a low false positive rate. It takes as input a BAM file for each sample, and produces as output a list of differences (somatic mutations). Note: This software package is no longer supported and information on this page is provided for archival purposes only. | somatic mutation, substitution, sequence, bam, mutation |
is listed by: OMICtools has parent organization: Broad Institute |
Tumor, Cancer, Normal | OMICS_02155 | SCR_001196 | 2026-08-29 11:20:59 | 0 | ||||||||
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CCHMC Pediatric Brain Templates Resource Report Resource Website 1+ mentions |
CCHMC Pediatric Brain Templates (RRID:SCR_003276) | Pediatric Brain Templates | atlas, data or information resource, image collection, reference atlas | 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 | 2026-08-29 11:21:28 | 3 | ||||||
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NIH MRI Study of Normal Brain Development Resource Report Resource Website 1+ mentions |
NIH MRI Study of Normal Brain Development (RRID:SCR_003394) | Pediatric MRI Study | data or information resource, data set, experimental protocol, narrative resource | Data sets of clinical / behavioral and image data are available for download by qualified researchers from a seven year, multi-site, longitudinal study using magnetic resonance technologies to study brain maturation in healthy, typically-developing infants, children, and adolescents and to correlate brain development with cognitive and behavioral development. The information obtained in this study is expected to provide essential data for understanding the course of normal brain development as a basis for understanding atypical brain development associated with a variety of developmental, neurological, and neuropsychiatric disorders affecting children and adults. This study enrolled over 500 children, ranging from infancy to young adulthood. The goal was to study each participant at least three times over the course of the project at one of six Pediatric Centers across the United States. Brain MR and clinical/behavioral data have been compiled and analyzed at a Data Coordinating Center and Clinical Coordinating Center. Additionally, MR spectroscopy and DTI data are being analyzed. The study was organized around two objectives corresponding to two age ranges at the time of enrollment, each with its own protocols. * Objective 1 enrolled children ages 4 years, 6 months through 18 years (total N = 433). This sample was recruited across the six Pediatric Study Centers using community based sampling to reflect the demographics of the United States in terms of income, race, and ethnicity. The subjects were studied with both imaging and clinical/behavioral measures at two year intervals for three time points. * Objective 2 enrolled newborns, infants, toddlers, and preschoolers from birth through 4 years, 5 months, who were studied three or more times at two Pediatric Study Centers at intervals ranging from three months for the youngest subjects to one year as the children approach the Objective 1 age range. Both imaging and clinical/behavioral measures were collected at each time point. Participant recruitment used community based sampling that included hospital venues (e.g., maternity wards and nurseries, satellite physician offices, and well-child clinics), community organizations (e.g., day-care centers, schools, and churches), and siblings of children participating in other research at the Pediatric Study Centers. At timepoint 1, of those enrolled, 114 children had T1 scans that passed quality control checks. Staged data release plan: The first data release included structural MR images and clinical/behavioral data from the first assessments, Visit 1, for Objective 1. A second data release included structural MRI and clinical/behavioral data from the second visit for Objective 1. A third data release included structural MRI data for both Objective 1 and 2 and all time points, as well as preliminary spectroscopy data. A fourth data release added cortical thickness, gyrification and cortical surface data. Yet to be released are longitudinally registered anatomic MRI data and diffusion tensor data. A collaborative effort among the participating centers and NIH resulted in age-appropriate MR protocols and clinical/behavioral batteries of instruments. A summary of this protocol is available as a Protocol release document. Details of the project, such as study design, rationale, recruitment, instrument battery, MRI acquisition details, and quality controls can be found in the study protocol. Also available are the MRI procedure manual and Clinical/Behavioral procedure manuals for Objective 1 and Objective 2. | young human, child, pediatric, experimental protocol, brain, brain development, development, mri, minc, clinical, behavior, anatomical mri, diffusion tensor imaging, mr spectroscopy, adolescent, clinical data, behavioral data, data visualization software, clinical measure, behavioral measure, physical neurological examination, behavioral rating, neuropsychological testing, structured psychiatric interview, hormonal measure, image collection, neonate, clinical neuroinformatics, dicom, minc2, magnetic resonance, nifti |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories has parent organization: National Institutes of Health |
Healthy, Normal | NICHD ; NIDA ; NIMH ; NINDS ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00201 | http://www.bic.mni.mcgill.ca/nihpd/info/, https://nihpd.crbs.ucsd.edu/nihpd/info/index.html | SCR_003394 | NIH Pediatric MRI Data Repository, Pediatric MRI Data Repository | 2026-08-29 11:21:54 | 6 | ||||
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MGH-USC Human Connectome Project Resource Report Resource Website 100+ mentions |
MGH-USC Human Connectome Project (RRID:SCR_003490) | MGH/UCLA HCP | data or information resource, instrument manufacture, material service resource, portal, production service resource, service 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 | 2026-08-29 11:21:57 | 186 | ||||
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Capital Biosciences Resource Report Resource Website 1+ mentions |
Capital Biosciences (RRID:SCR_004879) | commercial organization | Biological products including Cell Immortalization Products, Clinically Defined Human Tissue, cDNA ORF Clones, Premade Adenoviruses, Purified Proteins, Viral Expression Systems and others as well as services like Custom Recombinant Adenovirus Production, Custom Recombinant Lentivirus Production, Protein Detection and Quantification and Stable Cell Line Production for academic and governmental research institutes, pharmaceutical and biotechnology industry. Capital Biosciences offers most types of human tissues, normal and diseased, with extensive clinical history and follow up information. Standard specimen format: Snap-frozen(flash-frozen), Formalin fixed and paraffin embedded (FFPE) tissues, Blood and blood products, Bone marrow, Total RNA, Genomic DNA, Total Proteins, Primary cell cultures, Viable frozen tissue. Tumor tissue samples include: Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head and Neck (H&N) Carcinoma, Hepatocellular Carcinoma (HCC), Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell (NCSLC), Lung Cancer, Small Cell (SCLC), Melanoma, Mesothelioma, non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancer. | cell immortalization, clinical, tissue, cdna orf clone, premade adenovirus, purified protein, viral expression, recombinant adenovirus, recombinant lentivirus, protein, detection, quantification, cell line, disease, formalin fixed and paraffin embedded, frozen, tissue, blood, blood product, bone marrow, rna, dna, protein, cell culture, tumor tissue | is listed by: One Mind Biospecimen Bank Listing | Normal, Cancer, Tumor, Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head Carcinoma, Neck Carcinoma, Hepatocellular Carcinoma, Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell, Lung Cancer, Small Cell, Melanoma, Mesothelioma, Non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancer | nlx_85333 | http://www.capitalbiosciences.com/category/show/tissue-human-clinically-defined.html | SCR_004879 | Capital Biosciences: innovative solutions for life sciences, Capital Biosciences Inc. | 2026-08-29 11:22:12 | 2 | |||||||
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SomaticSniper Resource Report Resource Website 100+ mentions |
SomaticSniper (RRID:SCR_005108) | SomaticSniper | software resource | Software program to identify single nucleotide positions that are different between tumor and normal (or, in theory, any two bam files). It takes a tumor bam and a normal bam and compares the two to determine the differences. It outputs a file in a format very similar to Samtools consensus format. It uses the genotype likelihood model of MAQ (as implemented in Samtools) and then calculates the probability that the tumor and normal genotypes are different. This probability is reported as a somatic score. The somatic score is the Phred-scaled probability (between 0 to 255) that the Tumor and Normal genotypes are not different where 0 means there is no probability that the genotypes are different and 255 means there is a probability of 1 ? 10(255/-10) that the genotypes are different between tumor and normal. This is consistent with how the SAM format reports such probabilities. It is currently available as source code via github or as a Debian APT package. |
is listed by: OMICtools has parent organization: Washington University in St. Louis; Missouri; USA |
Cancer, Tumor, Normal | PMID:22155872 | Acknowledgement requested | OMICS_00092 | SCR_005108 | 2026-08-29 11:22:23 | 152 | |||||||
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SomaticIndelDetector Resource Report Resource Website 50+ mentions |
SomaticIndelDetector (RRID:SCR_005107) | SomaticIndelDetector | software resource | Tool for calling indels in Tumor-Normal paired sample mode. | cancer-specific variant discovery tool, variant, tumor, normal, bam, indel |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer, Tumor, Normal | OMICS_00091 | SCR_005107 | 2026-08-29 11:22:07 | 82 | ||||||||
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Synapse Resource Report Resource Website 1000+ mentions |
Synapse (RRID:SCR_006307) | Synapse | data or information resource, data repository, database, service resource, storage service resource | A cloud-based collaborative platform which co-locates data, code, and computing resources for analyzing genome-scale data and seamlessly integrates these services allowing scientists to share and analyze data together. Synapse consists of a web portal integrated with the R/Bioconductor statistical package and will be integrated with additional tools. The web portal is organized around the concept of a Project which is an environment where you can interact, share data, and analysis methods with a specific group of users or broadly across open collaborations. Projects provide an organizational structure to interact with data, code and analyses, and to track data provenance. A project can be created by anyone with a Synapse account and can be shared among all Synapse users or restricted to a specific team. Public data projects include the Synapse Commons Repository (SCR) (syn150935) and the metaGenomics project (syn275039). The SCR provides access to raw data and phenotypic information for publicly available genomic data sets, such as GEO and TCGA. The metaGenomics project provides standardized preprocessed data and precomputed analysis of the public SCR data. | data sharing, collaboration, data management, analysis, genome, phenotype, crowd sourcing, open data, provenance, resource management, annotation, authoring, markup, r, python, java, command-line, cloud, FASEB list |
is used by: NF Data Portal is listed by: FORCE11 is listed by: DataCite is listed by: re3data.org is related to: clearScience is related to: Exemplar Microscopy Images of Tissues has parent organization: Sage Bionetworks |
Cancer, Normal, Cardiovascular disease, Floppy hat syndrome | Life Sciences Discovery Fund ; NCI ; NHLBI ; Alfred P. Sloan Foundation |
The community can contribute to this resource | nlx_151983, DOI:10.17616/R3B934, r3d100011894, DOI:10.7303 | https://doi.org/10.17616/R3B934, https://doi.org/10.48550/arxiv.1506.00272, https://doi.org/10.7303/, https://dx.doi.org/10.7303, https://doi.org/10.17616/R3B934 | SCR_006307 | 2026-08-29 11:27:50 | 1104 | |||||
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Cell Line Ontology by Mahadevan Resource Report Resource Website |
Cell Line Ontology by Mahadevan (RRID:SCR_010281) | MCCL | controlled vocabulary, data or information resource, ontology | A comprehensive ontology on primary and established cell lines-both normal and pathologic. It covers around 400 cell lines. This ontology has been built to include the major domains in the field of biology like anatomy, bio-molecules, chemicals and drugs, pathological conditions and genetic variations around the cell lines. An extensive network of relations has been built across these concepts to enable different combinations of queries. The ontology covers all cell lines from major sources like ATCC, DSMZ, ECACC, ICLC etc. and is built in OWL format. | owl, cell line | is listed by: BioPortal | Normal, Pathologic | nlx_157356 | SCR_010281 | Cell Line Ontology (by Mahadevan) | 2026-08-29 11:27:37 | 0 |
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