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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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mutationSeq Resource Report Resource Website 10+ mentions |
mutationSeq (RRID:SCR_006815) | mutationSeq | software resource | A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic. | next-generation sequencing, somatic mutation, tumor, normal |
is listed by: OMICtools is related to: JointSNVMix has parent organization: BC Cancer Agency |
Tumor, Normal | PMID:22084253 | OMICS_00086 | SCR_006815 | 2025-02-14 10:30:58 | 24 | |||||||
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ABSOLUTE Resource Report Resource Website 100+ mentions |
ABSOLUTE (RRID:SCR_005198) | ABSOLUTE | software resource | Software to estimate purity / ploidy, and from that compute absolute copy-number and mutation multiplicities. When DNA is extracted from an admixed population of cancer and normal cells, the information on absolute copy number per cancer cell is lost in the mixing. The purpose of ABSOLUTE is to re-extract these data from the mixed DNA population. This process begins by generation of segmented copy number data, which is input to the ABSOLUTE algorithm together with pre-computed models of recurrent cancer karyotypes and, optionally, allelic fraction values for somatic point mutations. The output of ABSOLUTE then provides re-extracted information on the absolute cellular copy number of local DNA segments and, for point mutations, the number of mutated alleles. |
is listed by: OMICtools has parent organization: Broad Institute |
Cancer, Normal | PMID:22544022 | Account required | OMICS_00217 | SCR_005198 | 2025-02-14 10:30:34 | 231 | |||||||
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QuadGT Resource Report Resource Website 1+ mentions |
QuadGT (RRID:SCR_000073) | QuadGT | software resource | Software package for calling single-nucleotide variants in four sequenced genomes comprising a normal-tumor pair and the two parents. Genotypes are inferred using a joint model of parental variant frequencies, de novo germline mutations, and somatic mutations. The model quantifies the descent-by-modification relationships between the unknown genotypes by using a set of parameters in a Bayesian inference setting. Note that you can use it on any subset of the four related genomes, including parent-offspring trios, and normal-tumor pairs without parental samples. | single-nucleotide variant, sequenced genome, genotype, genome |
is listed by: OMICtools has parent organization: University of Montreal; Quebec; Canada |
Normal, Tumor, Cancer | Terry Fox Research Institute ; Canadian Institutes for Health Research ; Canada National Sciences and Engineering Research Council |
PMID:23734724 | New BSD License | OMICS_02108 | SCR_000073 | 2025-02-14 10:29:11 | 1 | |||||
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Open Access Series of Imaging Studies Resource Report Resource Website 100+ mentions |
Open Access Series of Imaging Studies (RRID:SCR_007385) | OASIS | data or information resource, database | Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated. | early, stage, alzheimer, disease, mri, fmri, image, brain, dicom, magnetic, resonance, collection, data, FASEB list |
is used by: NIF Data Federation is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Automatic Registration Toolbox is related to: 2012 MICCAI Multi-Atlas Labeling Challenge Data has parent organization: Howard Hughes Medical Institute has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Biomedical Informatics Research Network is parent organization of: Cover Pages |
Alzheimer's disease, Dementia, Normal, Nondemented, Aging | NIA P50 AG05681; NIA P01 AG03991; NIA R01 AG021910; NIMH P50 MH071616; NCRR U24 RR021382; NIMH R01 MH56584 |
Free, Acknowledgement required | nif-0000-00387 | http://www.nitrc.org/projects/oasis | SCR_007385 | The Open Access Series of Imaging Studies, Open Access Series of Imaging Studies, OASIS | 2025-03-30 11:06:53 | 271 | ||||
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Kawasaki Disease Dataset2 Resource Report Resource Website |
Kawasaki Disease Dataset2 (RRID:SCR_008839) | KD Data | data or information resource, data set | Dataset from an investigation of biochemical evidence of myocardial strain, oxidative stress, and cardiomyocyte injury in 55 acute KD subjects (30 with paired convalescent samples), 54 febrile control (FC), and 50 healthy control (HC) children by measuring concentrations of cardiovascular biomarkers. NT-proBNP and sST2 were elevated in acute KD subjects and correlated with impaired myocardial relaxation. These findings, combined with elevated levels of cTnI, suggest that both cardiomyocyte stress and cell death are associated with myocardial inflammation in acute KD. | kawasaki disease, nt-probnp, sst2, copeptin, ct-proet-1, mr-proadm, mr-proanp, pct, troponin i cardiac muscle, cardiovascular biomarker, cardiovascular, biomarker, child, acute, convalescent, febrile, ctni, myocardial inflammation, pediatric |
is used by: NIF Data Federation has parent organization: University of California at San Diego; California; USA |
Kawasaki disease, Normal | PMID:21777987 | nlx_144644 | http://neuinfo.org/nif/nifgwt.html?query=kawasaki&category=Data%20Type:Dataset | SCR_008839 | 2025-03-30 11:08:23 | 0 | ||||||
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Internet Brain Segmentation Repository Resource Report Resource Website 10+ mentions |
Internet Brain Segmentation Repository (RRID:SCR_001994) | IBSR | data or information resource, data set | Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results. | 3d model, anatomy, brainstem, cerebellum, cortex, gray matter, imaging, morphology, mri, segmentation, volume, white matter, adult human, male, child, image collection, application, magnetic resonance, os independent, php, quality metrics, segmentation, test data, web service |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
Normal, Tumor | NINDS 1 R01 NS34189-01 | Public Domain | nif-0000-00032 | http://www.cma.mgh.harvard.edu/ibsr/ | SCR_001994 | 2025-03-30 11:01:34 | 23 | |||||
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EEG time series Data Sets Resource Report Resource Website 1+ mentions |
EEG time series Data Sets (RRID:SCR_001579) | EEG time series data | data or information resource, data set | Five data sets containing quasi-stationary, artifact-free EEG signals both in normal subjects and epileptic patients were put in the web by Ralph Andrzejak from the Epilepsy center in Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration. | eeg, time series, brain, electrical activity, eyes closed, eyes open, intracranial, eeg recording, epileptic seizure |
is related to: Neural Cipher has parent organization: Pompeu Fabra University; Barcelona; Spain |
Epilepsy, Normal | PMID:11736210 | Acknowledgement required, Free, For research and education purposes only, Non-commercial | nlx_153816 | http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3 | SCR_001579 | 2025-03-30 11:01:14 | 1 | |||||
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ABIDE Resource Report Resource Website 100+ mentions |
ABIDE (RRID:SCR_003612) | ABIDE | data or information resource, data set | Resting state functional magnetic resonance imaging (R-fMRI) datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typical controls. This initiative involved 16 international sites, sharing 20 samples yielding 1112 datasets composed of both MRI data and an extensive array of phenotypic information common across nearly all sites. This effort is expected to facilitate discovery science and comparisons across samples. All datasets are anonymous, with no protected health information included. | phenotype, resting state functional magnetic resonance imaging, mri, image, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Autism spectrum disorder, Normal | Leon Levy Foundation ; Joseph P. Healy ; Stavros Niarchos Foundation ; NIMH K23MH087770; NIMH R03MH096321 |
Account required, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | nlx_157761 | SCR_003612 | Autism Brain Imaging Data Exchange | 2025-03-30 11:03:30 | 187 | |||||
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Cancer Methylome System Resource Report Resource Website 1+ mentions |
Cancer Methylome System (RRID:SCR_012013) | CMS | data or information resource, database | Datbase and web-based system for visualization and analysis of genome-wide methylation data of human cancers. | gene, methylation, visualization |
is listed by: OMICtools has parent organization: University of Texas Health Science Center at San Antonio; Texas; USA |
Cancer, Normal | NCI | PMID:22035855 | Acknowledgement requested | OMICS_01836 | SCR_012013 | 2025-03-30 11:10:32 | 8 | |||||
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Internet Brain Volume Database Resource Report Resource Website 1+ mentions |
Internet Brain Volume Database (RRID:SCR_002060) | IBVD | data or information resource, database | A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group. | anatomy, volume, dsm-iv, normal, schizophrenia, autistic disorder, bipolar disorder, major depressive disorder, alzheimer's disease, attention deficit-hyperactivity disorder, alcohol dependence, dementia, traumatic brain injury, borderline personality disorder, obsessive-compulsive disorder, asperger syndrome, brain, brain structure, in vivo, ex vivo, male, female, gorilla beringei beringei, pongo pygmaeus, volumetric analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIF Data Federation is related to: Integrated Manually Extracted Annotation has parent organization: Harvard Medical School; Massachusetts; USA |
Normal, Alzheimers disease, Seizure, Complex febrile seizure, Holoprosencephaly, Alcohol dependence, Bipolar Disorder, Traumatic brain injury, Schizophrenia | The Human Brain Project ; NINDS NS034189 |
PMID:21931990 | Available for download | nif-0000-00033 | http://www.nitrc.org/projects/ibvd | SCR_002060 | 2025-03-30 11:01:37 | 4 | ||||
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CNSforum: Image Bank Resource Report Resource Website |
CNSforum: Image Bank (RRID:SCR_002718) | data or information resource, image collection | A collection of downloadable central nervous system (CNS) images for teaching, presentations, articles, and other purposes. The following major categories of images are as follows: Brain anatomy, Brain physiology, Anxiety, Depression, Schizophrenia, Dementia, Parkinson's disease, Stroke, and Others. | image collection, human brain, brain anatomy, brain physiology, anxiety, depression, schizophrenia, dementia, parkinson's disease, stroke, brain | has parent organization: CNS Forum | Anxiety, Depressive Disorder, Schizophrenia, Dementia, Parkinson's disease, Stroke, Normal | Permission is granted to download the images and use them as you wish provided that the copyright notice on the images is not hidden nor removed, If used on other websites the images must also link to www.cnsforum.com | nif-0000-23576 | SCR_002718 | CNS Forum Image Bank, Lundbeck Institute CNSforum Image Bank | 2025-03-31 11:01:58 | 0 | |||||||
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SumsDB Resource Report Resource Website 10+ mentions |
SumsDB (RRID:SCR_002759) | SumsDB, WebCaret | data repository, analysis service resource, service resource, production service resource, database, atlas, data or information resource, data analysis service, storage service resource, image repository | THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures | segmentation, volume, neuroimaging, brain, fmri, stereotaxic foci, stereotaxic coordinate, brain-mapping, foci, structural mri, mri, cerebral cortex, cerebellar cortex, afni brik, analyze, atlas, nifti, registration, rendering, spatial transformation, surface analysis, surface rendering, visualization, volume rendering, brain mapping, neuroanatomy |
is used by: NIF Data Federation is listed by: Biositemaps is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: Computerized Anatomical Reconstruction and Editing Toolkit is related to: Integrated Manually Extracted Annotation has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Mental disease, Neurological disorder, Normal | Human Brain Project ; NSF ; NCI ; NLM ; NASA ; National Partnership for Advanced Computational Infrastructure ; NIMH R01 MH60974-06 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00016 | http://brainvis.wustl.edu/wiki/index.php/Sums:About http://www.nitrc.org/projects/sumsdb | SCR_002759 | SumsDB WebCaret, SumsDB Database, Web Caret, WebCaret Online Visualization, Surface Management System Database and WebCaret Online Visualization, SumsDB and WebCaret, Sums database, SumsDB (Surface Management System Database) and WebCaret Online Visualization, Sums DB, SumsDB (Surface Management System Database) WebCaret Online Visualization, Surface Management System Database | 2025-04-01 11:02:03 | 13 | ||||
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Cancer Genome Anatomy Project Resource Report Resource Website 100+ mentions |
Cancer Genome Anatomy Project (RRID:SCR_003072) | CGAP | data or information resource, topical portal, portal | Project to determine the gene expression profiles of normal, precancer, and cancer cells, whose generated resources are available to the cancer community. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find in silico answers to biological questions in a fraction of the time it once took in the laboratory. * Genes * Tissues * Pathways * RNAi * Chromosomes * SAGE Genie * Tools | gene, gene expression, normal cell, precancer cell, cancer cell, cell, genome, anatomy, gene expression profile, tissue, pathway, rnai, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: National Cancer Institute is parent organization of: CGAP GO Browser |
Cancer, Normal, Precancer | NCI | biotools:cgap, nif-0000-30468 | https://bio.tools/cgap | SCR_003072 | Cancer Genome Anatomy Project (CGAP) | 2025-04-01 11:02:24 | 107 | |||||
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Mutascope Resource Report Resource Website 1+ mentions |
Mutascope (RRID:SCR_001265) | Mutascope | data processing software, data analysis software, software application, software resource | Software suite to analyze data from high throughput sequencing of PCR amplicons, with an emphasis on normal-tumor comparison for the accurate and sensitive identification of low prevalence mutations. | high throughput sequencing, pcr amplicon, pcr, mutation, amplicon, sequencing, somatic variant |
is listed by: OMICtools has parent organization: SourceForge |
Tumor, Normal | PMID:23712659 | Free, Public | OMICS_02074 | SCR_001265 | Mutascope - Analysis software designed for PCR-amplicon sequencing data | 2025-04-01 11:01:00 | 4 | |||||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | atlas, data or information resource, reference atlas, data set | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
BIRN License | nif-0000-00200 | http://www.nitrc.org/projects/mousebirn | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2025-04-01 11:02:52 | 0 | |||
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Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) Resource Report Resource Website 10+ mentions |
Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) (RRID:SCR_004226) | BBMRI | material resource, biomaterial supply resource | BBMRI is a pan-European and internationally broadly accessible research infrastructure and a network of existing and de novo biobanks and biomolecular resources. The infrastructure will include samples from patients and healthy persons, representing different European populations (with links to epidemiological and health care information), molecular genomic resources and biocomputational tools to optimally exploit this resource for global biomedical research. During the past 3 years BBMRI has grown into a 53-member consortium with over 280 associated organizations (largely biobanks) from over 30 countries, making it the largest research infrastructure project in Europe. During the preparatory phase the concept of a functional pan-European biobank was formulated and has now been presented to Member States of the European Union and for associated states for approval and funding. BBMRI will form an interface between specimens and data (from patients and European populations) and top-level biological and medical research. This can only be achieved through a distributed research infrastructure with operational units in all participating Member States. BBMRI will be implemented under the ERIC (European Research Infrastructure Consortium) legal entity. BBMRI-ERIC foresees headquarters (central coordination) in Graz, Austria, responsible for coordination of the activities of National Nodes established in participating countries. BBMRI is in the process of submitting its application to the European Commission for a legal status under the ERIC regulation, with an expected start date at the end of 2011. Major synergism, gain of statistical power and economy of scale will be achieved by interlinking, standardizing and harmonizing - sometimes even just cross-referencing - a large variety of well-qualified, up-to date, existing and de novo national resources. The network should cover (1) major European biobanks with blood, serum, tissue or other biological samples, (2) molecular methods resource centers for human and model organisms of biomedical relevance, (3) and biocomputing centers to ensure that databases of samples in the repositories are dynamically linked to existing databases and to scientific literature as well as to statistical expertise. Catalog of European Biobanks www.bbmriportal.eu Username: guest / Password: catalogue The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. The BBMRI catalogue of European Biobanks provides a high-level description of Europe''s biobanks characteristics using a portal solution managing metadata and aggregate data of biobanks. The catalogue can be queried by country, by biobank, by ICD-groups, by specimen types, by specific strengths, by funding and more. A search function is available for all data. | blood, serum, tissue, dna, cdna, rna, plasma, cell line, bodily fluid, urine, blood cell isolate, buffy coat, patient, healthy, normal, cryopreserved, paraffin embedded, clinical data |
is listed by: One Mind Biospecimen Bank Listing is related to: BioResource Impact Factor is related to: German Biobank Registry is related to: BioMedBridges is related to: Biological Resource Centre - National Institute for Cancer Research has parent organization: Medical University of Graz; Graz; Austria is parent organization of: BBMRI Wiki |
All, Patient, Healthy, Normal | European Union | Public: The catalogue is intended to be used as a reference for scientists seeking information about biological samples and data suitable for their research. | nlx_24389 | http://www.bbmri.eu/index.php | SCR_004226 | Biobanking and Biomolecular Resources Research Infrastructure, BBMRI: Biobanking Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure, BBMRI: Biobanking and Biomolecular Resources Research Infrastructure, Biobanking Biomolecular Resources Research Infrastructure (BBMRI) | 2025-04-01 11:03:43 | 29 | ||||
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Biobank Graz Resource Report Resource Website |
Biobank Graz (RRID:SCR_004245) | Biobank Graz | material resource, biomaterial supply resource | Biobank Graz is a non-profit central Medical University of Graz (MUG) service facility that provides the logistics and infrastructure to optimally support MUG research teams in the collection, processing and storage of biological samples and their associated data. In the course of this, special attention is given to sample and data quality and to the protection of the individual rights of patients. Samples from selected patients at the Graz LKH-University Clinical Centre, who have signed an informed consent declaration, are deposited in Biobank Graz. This means that excess tissue and blood samples are collected and placed in storage. The samples are harvested in the course of routine interventions undertaken by the different departments and institutes of the Graz LKH-University Clinical Centre and approved for use in research projects only after the completion of all necessary laboratory and histopathological analyses. No additional material is removed: in other words, there are no associated drawbacks whatsoever for the patients involved. Biobank Graz operates a quality management system according to ISO 9001:2008 and offers the following services for the processing and storage of biological samples and the handling of data: * Consistently high sample quality through the processing of samples using standardized methods in accordance with written working instructions (SOPs) * Efficient use of resources through the building of shared infrastructure and the development of optimized processes * A high degree of reliability provided by the storage of samples in 24/7 - monitored storage systems. * Processing and storage of all data in accordance with data protection legislation. Biobank Graz comprises both population-based and disease-focused collections of biological materials. It currently contains approx. 3.8 mio samples from approx. 1.2 mio patients representing a nonselected patient group characteristic of central Europe. Because the Institute of Pathology was, until 2003, the exclusive pathology service provider for major parts of the province of Styria, including its capital Graz (population approx. 1.2 mio people), samples from all human diseases, treated by surgery or diagnosed by biopsy, are included in the collection at their natural frequency of occurrence and thus represent cancers and non-cancerous diseases from all organs, and from all age groups. The scientific value of the existing tissue collection is, thus, not only determined by its size and technical homogeneity (all samples have been processed in a single institute under constant conditions for more than 20 years), but also by its population-based character. These features provide ideal opportunities for epidemiological studies and allow the validation of biomarkers for the identification of specific diseases and determination of their response to treatment. Prospectively collected tissues, blood samples and clinical data comprise, on the one hand, randomly selected samples from all diseases and patient groups to provide sufficient numbers of samples for the evaluation of the disease-specificity of any gene or biomarker. On the other hand, Biobank Graz adopts a disease-focused approach for selected diseases (such as breast, colon and liver cancers as well as some metabolic diseases) through the collection of a range of different human biological samples of highest quality and detailed clinical follow-up data. Graz Medical University established the Biobank to provide improved and sustainable access to biological samples and related (clinical) data both for its own academic research and for external research projects of academic and industrial partners. It is a major interest of the university to initiate co-operative research projects. Biological samples and data are available to external institutions performing high-quality research projects which comply with the Biobank''s ethical and legal framework according to the access rules (Contact: COO Karine Sargsyan, MD, PhD). | tissue, blood, dna, rna, serum, plasma, bodily fluid, urine, cryopreserved, formalin fixed paraffin embedded, csf, frozen, disease, population, patient, healthy, normal, clinical, patient, healthy, normal, disease, cancer, metabolic disease, breast cancer, colon cancer, liver cancer, clinical data, cerebral spinal fluid |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Medical University of Graz; Graz; Austria |
All, Patient, Healthy, Normal, Disease, Cancer, Metabolic disease, Breast cancer, Colon cancer, Liver cancer | Public: Graz Medical University established the Biobank to provide improved and sustainable access to biological samples and related (clinical) data both for its own academic research and for external research projects of academic and industrial partners. It is a major interest of the university to initiate co-operative research projects. Biological samples and data are available to external institutions performing high-quality research projects which comply with the Biobank''s ethical and legal framework according to the access rules. | nlx_25894 | SCR_004245 | 2025-04-01 11:03:43 | 0 | |||||||
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Arizona Biospecimen Locator Resource Report Resource Website |
Arizona Biospecimen Locator (RRID:SCR_004151) | ABL | material resource, biomaterial supply resource, tissue bank | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone. | arizona biospecimen, biospecimen bank, biological sample bank | is listed by: One Mind Biospecimen Bank Listing | Diseased, Normal | Arizona Biomedical Research Commission | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_17349 | https://abl.azdhs.gov/tissuelocator-web/browse.action | SCR_004151 | 2025-04-01 11:03:41 | 0 | |||||
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Human Tissue and Organ for Research Resource (HTORR) Resource Report Resource Website |
Human Tissue and Organ for Research Resource (HTORR) (RRID:SCR_002859) | HTORR | material resource, biomaterial supply resource, tissue bank | NDRI’s Human Tissue and Organs for Research Resource (HTORR) Program has been funded by the National Institutes of Health (NIH) for over 30 consecutive years to support research programs across multiple disciplines. It is through the HTORR program that NDRI provides academic biomedical investigators with donated normal and diseased human tissues and organs recovered from a diverse donor pool using customized procurement, processing, and preservation and distribution protocols. Our HTORR Program supports academic biomedical research investigators needs by providing: Access to a wide array of human biospecimens from any body system * Customized procurement in a variety of preservation formats including fresh, frozen, and fixed suitable for various analytical techniques * Reduced costs for tissue procurement * Technical support to design your studies utilizing human biospecimens * Letters of support and budgetary information for grant applications | tissue, organ, nervous system, pulmonary system, cardiovascular system, endocrine system, eye, bone, cartilage, normal, diseased, human immunodeficiency virus, heart, kidney, lung, brain, liver, eye, bone, joint, disease, rare disease, endocrinology, eye bank, immunology, infectious disease, nephrology, nervous system, ophthalmology, pathology, pulmonary system, research, specimen, toxicology, transplantation, catalog |
is listed by: One Mind Biospecimen Bank Listing is listed by: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology has parent organization: National Disease Research Interchange has parent organization: National Center for Research Resources |
Normal, Disease, Human immunodeficiency virus, Rare disease | NIH Office of the Director U42 OD011158 | Available | nif-0000-25417 | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources | http://www.ncrr.nih.gov/clinical%5Fresearch%5Fresources/resource%5Fdirectory/human_tissue_and_organ_resource_for_research/ | SCR_002859 | Human Tissue Organ Resource for Research, Human Tissues and Organs for Research, Human Tissues and Organs for Research (HTOR), Human Tissues Organs for Research | 2025-04-01 11:02:10 | 0 | |||
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UNC Infant 0-1-2 Atlases Resource Report Resource Website 1+ mentions |
UNC Infant 0-1-2 Atlases (RRID:SCR_002569) | UNC Infant 0-1-2 Atlases | atlas, data or information resource | 3 atlases dedicated for neonates, 1-year-olds, and 2-year-olds. Each atlas comprises a set of 3D images made up of the intensity model, tissue probability maps, and anatomical parcellation map. These atlases are constructed with the help of state-of-the-art infant MR segmentation and groupwise registration methods, on a set of longitudinal images acquired from 95 normal infants (56 males and 39 females) at neonate, 1-year-old, and 2-year-old. | analyze, atlas application, linux, macos, microsoft, magnetic resonance, posix/unix-like, infant, pediatric, template, longitudinal, neonate, male, female, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Normal | NIH ; NIBIB EB006733; NIBIB EB008760; NIBIB EB008374; NIBIB EB009634; NIMH MH088520; NIMH MH070890; NIMH MH064065; NINDS NS055754; NICHD HD053000 |
PMID:21533194 | Public, Free, Acknowledgement requested, Non-commercial | nlx_155971 | http://www.nitrc.org/projects/pediatricatlas | SCR_002569 | UNC 0-1-2 Infant Atlases | 2025-04-01 11:01:50 | 2 |
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