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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

(last updated: Oct 12, 2019)

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Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
Internet Brain Segmentation RepositoryResource, data set, data or information resourceData 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 serviceSCR_001994(Internet Brain Segmentation Repository, RRID:SCR_001994)Harvard Medical School; Massachusetts; USA Normal, TumorNINDSlisted by: NeuroImaging Tools and Resources Collaboratory (NITRC)Last checked upnif-0000-00032http://www.cma.mgh.harvard.edu/ibsr/
UNC Infant 0-1-2 AtlasesResource, atlas, data or information resource3 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, mriSCR_002569(UNC Infant 0-1-2 Atlases, RRID:SCR_002569)University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA NormalNIBIB, NICHD, NIH, NIMH, NINDSlisted by: NeuroImaging Tools and Resources Collaboratory (NITRC)PMID:21533194Last checked upnlx_155971http://www.nitrc.org/projects/pediatricatlas
SRI24 Atlas: Normal Adult Brain AnatomyResource, atlas, reference atlas, data or information resourceAn MRI-based atlas of normal adult human brain anatomy, generated by template-free nonrigid registration from images of 24 normal control subjects. The atlas comprises T1, T2, and PD weighted structural MRI, tissue probability maps (GM, WM, CSF), maximum-likelihood tissue segmentation, DTI-based measures (FA, MD, longitudinal and transversal diffusivity), and two labels maps of cortical regions and subcortical structures. The atlas is provided at 1mm isotropic image resolution in Analyze, NIFTI, and Nrrd format. We are also providing an experimental packaging for use with SPM8.analyze, model, magnetic resonance, nifti, nrrd, neuroanatomy, adult human, brain, mri, dtiSCR_002551(SRI24 Atlas: Normal Adult Brain Anatomy, RRID:SCR_002551)Stanford Research Institute International NormalNIA, NIAAAlisted by: NeuroImaging Tools and Resources Collaboratory (NITRC)PMID:20017133Last checked upnlx_155957
Internet Brain Volume DatabaseResource, data or information resource, databaseA 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 analysisSCR_002060(Internet Brain Volume Database, RRID:SCR_002060)Harvard Medical School; Massachusetts; USA Normal, Alzheimers disease, Seizure, Complex febrile seizure, Holoprosencephaly, Alcohol dependence, Bipolar Disorder, Traumatic brain injury, SchizophreniaNINDS, The Human Brain Projectrelated to: NIF Data Federation, Integrated Manually Extracted Annotation, listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)PMID:21931990Last checked downnif-0000-00033http://www.nitrc.org/projects/ibvd
Cardiovascular Model RepositoryResource, image collection, data set, service resource, storage service resource, data repository, data or information resourceRepository 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 codeSCR_002679(Cardiovascular Model Repository, RRID:SCR_002679)Simtk.org Normal, Cardiovascular disease, Healthylisted by: BiositemapsLast checked upnif-0000-23301
ASPicDBResource, data or information resource, databaseA database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.annotation, splicing pattern, gene, transcript, intron, protein, variant, alternative splicing, splicing, blast, exon, u2, u12, isoformSCR_002102(ASPicDB, RRID:SCR_002102)University of Bari; Bari; Italy Normal, Cancerlisted by: OMICtoolsReferences (2)Last checked downOMICS_01882
Arizona Biospecimen LocatorResource, biomaterial supply resource, tissue bank, data set, cell repository, material resource, data or information resourceTHIS 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 bankSCR_004151(Arizona Biospecimen Locator, RRID:SCR_004151)Diseased, NormalArizona Biomedical Research Commissionlisted by: One Mind Biospecimen Bank ListingLast checked downnlx_17349https://abl.azdhs.gov/tissuelocator-web/browse.action
Automatic Registration ToolboxResource, image analysis software, data processing software, software application, image collection, software resource, software toolkit, image processing software, data or information resourceART ''''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, niftiSCR_005993(Automatic Registration Toolbox, RRID:SCR_005993)Nathan S. Kline Institute for Psychiatric Research; New York; USA Normalrelated to: Open Access Series of Imaging Studies, listed by: NeuroImaging Tools and Resources Collaboratory (NITRC)Last checked upnlx_151368
MINC/AtlasesResource, wiki, narrative resource, atlas, reference atlas, data or information resourceA linear average model atlas produced by the International Consortium for Brain Mapping (ICBM) project. A set of full- brain volumetric images from a normative population specifically for the purposes of generating a model were collected by the Montreal Neurological Institute (MNI), UCLA, and University of Texas Health Science Center at San Antonio Research Imaging Center (RIC). 152 new subjects were scanned using T1, T2 and PD sequences using a specific protocol. These images were acquired at a higher resolution than the original average 305 data and exhibit improved contrast due predominately to advances in imaging technology. Each individual was linearly registered to the average 305 and a new model was formed. In total, three models were created at the MNI, the ICBM152_T1, ICBM152_T2 and ICBM152_PD from 152 normal subjects. This resulting model is now known as the ICBM152 (although the model itself has not been published). One advantage of this model is that it exhibits better contrast and better definition of the top of the brain and the bottom of the cerebellum due to the increased coverage during acquisition. The entirely automatic analysis pipeline of this data also included grey/white matter segmentation via spatial priors. The averaged results of these segmentations formed the first MNI parametric maps of grey and white matter. The maps were never made publicly available in isolation but have formed parts of other packages for some time including SPM, FSL AIR and as models of grey matter for EEG source location in VARETTA and BRAINWAVE. Again, as these models are an approximation of Talairach space, there are differences in varying areas, to continue our use of origin shift as an example, the ICBM models are approximately 152: +3.5mm in Z and +-co-ordinate -3.5mm and 2.0mm in Y as compared to the original Talairach origin. In addition to the standard analysis performed on the ICBM data, 64 of the subjects data were segmented using model based segmentation. 64 of the original 305 were manually outlined and a resulting parametric VOI atlas built. The native data from these acquisitions was 256x256 with 1mm slices. The final image resolution of this data was 181x217x181 with 1mm isotropic voxels. Refer to the ICBM152 NonLinear if you are fitting an individual to model and do not care about left/right comparisons. A short history of the various atlases that have been produced at the BIC (McConnell Brain Imaging Center, Montreal Neurological Institute) is provided.atlas, brain, template, human, magnetic resonance imagingSCR_005281(MINC/Atlases, RRID:SCR_005281)Wikibooks Normalrelated to: ICBM 152 Nonlinear atlases version 2009, McConnell Brain Imaging Center, International Consortium for Brain Mapping, Laboratory of Neuro ImagingLast checked upnlx_144315
Vervet Probabilistic AtlasResource, atlas, reference atlas, data or information resourceVervet (Chlorocebus aethiops sabaeus) probabilistic atlas that defines an anatomical space (template) with associated tissue and regional prior probability maps. The atlas was produced from whole head MRI of 10 normal adult animal subjects. The package consists of two atlases. The Biased directory contains the average template and probabilistic atlases for selected tissue classes constructed by registering the training population to one subject. The Unbiased directory contains the atlas constructed using unbiased estimation. The atlas is suitable for use in any segmentation tool using a probabilistic atlas, for example those in Slicer.atlas data, magnetic resonance, adult, mriSCR_000426(Vervet Probabilistic Atlas, RRID:SCR_000426)Normallisted by: NeuroImaging Tools and Resources Collaboratory (NITRC)Last checked upnlx_156015
Biobanking and Biomolecular Resources Research Infrastructure (BBMRI)Resource, topical portal, database, biomaterial supply resource, portal, material resource, data or information resourceBBMRI 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 dataSCR_004226(Biobanking and Biomolecular Resources Research Infrastructure (BBMRI), RRID:SCR_004226)Medical University of Graz; Graz; Austria All, Patient, Healthy, NormalEuropean Unionrelated to: BioResource Impact Factor, German Biobank Registry, BioMedBridges, Biological Resource Centre - National Institute for Cancer Research, listed by: One Mind Biospecimen Bank ListingLast checked downnlx_24389http://www.bbmri.eu/index.php
Brain ResourceResource, organization portal, assessment test provider, database, training service resource, standard specification, narrative resource, service resource, portal, material resource, data or information resourceCreate brain products for everyday life which help people train for peak brain health and fitness; reduce stress simply and objectively; provide rapid assessment of brain strengths & weaknesses; and enable landmark tests to predict treatment in Depression and ADHD. Brain Resource uses their international human brain database to make sense of the brain''s complexities and provide a coherent model for measuring brain health. Healthcare stakeholders need timely, evidence-based data and reliable benchmarks in order to improve the way decisions are made in brain health. We empower clinicians, employers, researchers, pharmaceutical companies, health plans and individuals with access to personalized, validated and actionable data. Our cross-disciplinary and multi-dimensional approach has produced a standard for testing and analyzing how the brain works across the lifespan and under varying conditions, influences and compounds. Users tap into this resource by completing assessments which capture the brain basis of an individual''s emotion, thinking and feeling processes, and how they regulate them compared to their peers. What are the interrelationships between genetics, brain structure, brain function, lifestyle and emotions that affect the way we think and behave? How do you determine who is at risk or whether a treatment is working, or when someone is well? The Brain Resource International Database (BRID) is unique in its breadth of measures, it''s power and scope. Evidence-based reports from Brain Resource, underpinned by this great database, can help you find meaningful answers to those questions faster, safer and more cost-effectively than ever before. Brain Resource also undertakes large scale personalized medicine trials including the largest treatment marker study in Depression and ADHD - iSPOT. The findings from these studies have the potential to set a new standard for drug discovery in brain disorders.brain, brain health, brain fitness, stress, assessment, treatment, depression, adhd, reference database, personalized medicineSCR_006172(Brain Resource, RRID:SCR_006172)Depressive Disorder, Attention deficit-hyperactivity disorder, Normal, Brain disorderLast checked upnlx_151813
CCHMC Pediatric Brain TemplatesResource, atlas, image collection, reference atlas, data or information resourceBrain 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, neuroimagingSCR_003276(CCHMC Pediatric Brain Templates, RRID:SCR_003276)Normal, Healthyrelated to: SPMLast checked upnif-0000-01274
UMKC Neuroscience Brain Tissue Bank and Research LaboratoryResource, biomaterial supply resource, tissue bank, service resource, brain bank, storage service resource, material resource, material storage repositoryTHIS RESOURCE IS NO LONGER IN SERVICE, documented August 31, 2016. The UMKC Neuroscience Brain Tissue Bank and Research Laboratory has been established to obtain, process, and distribute human brain tissue to qualified scientists and clinicians dedicated to neuroscience research. No other living organ approaches the human brain in complexity or capacity. Healthy, it astounds and inspires miracles. Diseased, it confounds and diminishes hope. The use of human brain tissue for research will provide insight into the anatomical and neurochemical aspects of diseased and non-diseased brains. While animal models are helpful and necessary in understanding disease, certain disorders can be more efficiently studied using human brain tissue. Also, modern research techniques are often best applied to human tissue. We also need samples of brain tissue that have not been affected by disease. They help us to compare a 'normal' brain with a diseased one. Also, we have a critical need for brain donations from relatives who have genetically inherited disorders. Tissue preparation consists of fresh quick-frozen tissue blocks or coronal slices (nitrogen vapor frozen; custom dissection of specific anatomic regions) or formalin-fixed coronal slices (custom dissection of specific anatomic regions).brain tissue, brain, tissue, fresh quick-frozen, block, nitrogen vapor frozen, frozen, formalin-fixed, disease, normal, genetically inherited disorder, normal control, matched control, neuroscience, post-mortem, coronal sliceSCR_005148(UMKC Neuroscience Brain Tissue Bank and Research Laboratory, RRID:SCR_005148)University of Missouri-Kansas City School of Medicine; Missouri; USA Disease, Normal, Genetically inherited disorder, Normal control, Matched controllisted by: One Mind Biospecimen Bank ListingLast checked downnlx_144161
Southampton Tumour BankResource, biomaterial supply resource, biospecimen repository, tissue bank, service resource, storage service resource, material resource, material storage repositoryCollects and distributes human tissue for ethically approved studies to aid the study of cancer biology and other associated research. All tissue is collected with patient consent and tissue is distributed only to ethically approved studies. The purpose of the Tissue Bank is to source, organize, collect, prepare, store and distribute a diverse collection of human tissues and biological products. This valuable core resource is available to all local academics and researchers. The on-site bank allows for rapid access to a plethora of biological materials supported by an informatics system of databases acting as an inventory management system. In addition, the Tissue Bank provides a licensed facility to store surplus tissue when studies close. Tissues currently available include normal and malignant snap frozen blocks, freshly prepared spleen and lymph nodes, fresh biopsy tissues, blood products and biological fluids. Collections can be organized by bank staff or ran in parallel with current research activities and include a wide variety of cancer classifications. We currently hold over 38,000 vials. Tissue Availability: Lymphoma - solid tissue and cells - 843; Breast - solid tissue and cells - 540; Colon - solid tissue and cells - 238; Lung - solid tissue and cells - 43; Upper Gi - BIOPSY tissue - 114; Pleural fluid and cells - 14cancer biology, cancer, tumor, blood product, biological fluid, tissue, spleen, lymph node, biopsy tissue, blood product, bodily fluid, blood, lymphoma, solid tissue, cell, breast, colon, lung, upper gastrointestinal, pleural fluid, gastrointestinalSCR_000673(Southampton Tumour Bank, RRID:SCR_000673)University of Southampton; Southampton; United Kingdom Cancer, Tumor, Normal, Malignantlisted by: One Mind Biospecimen Bank ListingLast checked upnlx_14010http://www.som.soton.ac.uk/research/facilities/cruk/infrastructure/tumour_bank/default.htm
Moffitt Cancer Center Tissue CoreResource, biomaterial supply resource, core facility, tissue bank, service resource, access service resource, material resource, data or information resourceA central tissue repository at Moffitt specializing in protocol-driven human tissue collection, storage, processing and dissemination. Tissue Core provides investigators with access to high quality, well-annotated human specimens obtained from representative of the patient populations. The advent of powerful molecular technologies has opened the door to developing more effective treatments of patients with cancer. Access to high quality specimens with associated clinical, treatment, recurrence outcome data will be critical to developing and validating the tests needed for diagnosis and prediction of response to therapy. Since its commencement in 1993, the Tissue Core has collected more than 8,000 cases of human liquid cancers and solid primary and metastatic tumors both malignant and benign with adjacent normal, from variety of sites and diagnoses. Collected samples are mostly remnant tissues obtained from patients undergoing therapeutic surgical procedures at the Center. The core also ensures tissue release compliance with USF-IRB and Privacy Board recommendations. * Protocol driven sample collection, processing and distribution * Collection of sample and patient demographic information. * Nucleic acid extractions from tissue sections, FNA, core biopsies blood and bone marrow. * Histology services: H&E slides, staining, sectioning, paraffin blocks, OCT blocks, sample microdissection * WBC, plasma and serum isolation. * Project development and support: Facility staff provides advice and guidance to researchers.cancer, liquid cancer, solid primary tumor, solid tumor, metastatic tumor, malignant, benign, normal, tumor, clinical data, h&e slide, stain, section, paraffin block, oct block, sample microdissection, white blood cell, plasma, serum, private (moffitt cancer center), researchSCR_004406(Moffitt Cancer Center Tissue Core, RRID:SCR_004406)Moffitt Cancer Center Cancer, Normal, Malignant, Benign, Tumorlisted by: One Mind Biospecimen Bank ListingLast checked downnlx_143721http://www.moffitt.org/Site.aspx?spid=2DB275A62C464E15B6E7039BCEA1EB43
SomaticIndelDetectorResource, software resourceTool for calling indels in Tumor-Normal paired sample mode.cancer-specific variant discovery tool, variant, tumor, normal, bam, indelSCR_005107(SomaticIndelDetector, RRID:SCR_005107)Broad Institute Cancer, Tumor, Normallisted by: OMICtoolsLast checked downOMICS_00091
Capital BiosciencesResource, commercial organization, production service resource, biomaterial supply resource, tissue bank, service resource, material resource, data or information resourceBiological 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 tissueSCR_004879(Capital Biosciences, RRID:SCR_004879)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 Cancerlisted by: One Mind Biospecimen Bank ListingLast checked upnlx_85333http://www.capitalbiosciences.com/category/show/tissue-human-clinically-defined.html
da Vinci European BiobankResource, biomaterial supply resource, material resource, data or information resourceBioBank that collects, stores, processes and distributes biospecimens and the associated data. The biospecimens are human and non-human genetic materials, proteins, cells, tissues and biofluids. The data are the biological information associated to the samples and, in the case of human samples, the clinical information pertaining to the donor. The da Vinci European BioBank (daVEB) is a multicenter biobank with a centralized IT infrastructure and a main repository located at the Polo Scientifico (Scientific Campus of the University of Florence) in Sesto Fiorentino (Florence, Italy). Hosted by the Magnetic Resonance Center (CERM), an expert center on protein structure and metabolomics, daVEB's aim is to host as rich as possible biological human sample collections, stored accordingly to EU guidelines, in order to offer a powerful tool in the study of complex diseases. At the end of July 2011, the da Vinci European BioBank of the Pharmacogenomics FiorGen Onlus Foundation has been audited and got the quality certification according to UNI EN ISO 9001:2008 for Collection, storage and distribution of biological samples and the associated data for scientific research. Besides the samples stored at da Vinci European BioBank in Sesto Fiorentino (Florence), the daVEB is also the administrative biobank for research sample collections that are stored in the delocalized repositories. All the sample collections must be registered in the biobank: * sample collections taken within the regular health care * samples taken from healthy individuals or other persons out of the regular health care * samples that have been taken in hospitals within research protocols on specific pathologies all transferred to daVEB endowed with a transfer agreement signed by the donor. The Research Units actually afferent to daVEB are delocalized in the Florence, Prato, Pisa and Siena provinces. Delocalized repositories are under construction in Tuscany.clinical data, metabolomics via 1h-nmr, complex diseaseSCR_004908(da Vinci European Biobank, RRID:SCR_004908)University of Florence; Florence; Italy Normal, Disease, Healthylisted by: One Mind Biospecimen Bank ListingLast checked downnlx_87590
Genetics of Kidneys in DiabetesResource, biomaterial supply resource, data or information resource, material resource, databaseCollect, store, and distribute genetic samples from cases and controls of type 1 diabetes and diabetic nephropathy for investigator-driven research into the genetic basis of diabetic nephropathy. As the risk of kidney complications in type 1 diabetes appears to have a considerable genetic component, this study assembled a large data resource for researchers attempting to identify causative genetic variants. The types of data collected allowed traditional case-control testing, a rapid and often powerful approach, and family-based analysis, a robust approach that is not influenced by population substructure. To identify genes that are involved in diabetic nephropathy, a large number of individuals with type 1 diabetes were screened to identify two subsets, one with clear-cut kidney disease and another with normal renal status despite long-term diabetes. Those who met additional entry criteria and consented to participate were enrolled. When possible, both parents also were enrolled to form family trios. As of November 2005, GoKinD included 3075 participants who comprise 671 case singletons, 623 control singletons, 272 case trios, and 323 control trios. Interested investigators may request the DNA collection and corresponding clinical data for GoKinD participants. Participating scientists will have access to three data sets, each with distinct advantages. The set of 1294 singletons has adequate power to detect a wide range of genetic effects, even those of modest size. The set of case trios, which has adequate power to detect effects of moderate size, is not susceptible to false-positive results because of population substructure. The set of control trios is critical for excluding certain false-positive results that can occur in case trios and may be particularly useful for testing gene-environment interactions. Integration of the evidence from these three components into a single, unified analysis presents a challenge. This overview of the GoKinD study examines in detail the power of each study component and discusses analytic challenges that investigators will face in using this resource. Half of the samples were collected at the Joslin Diabetes Center and the other half were collected from around the country by researchers at The George Washington University. DNA samples were processed by scientists at the University of Minnesota and stored at the U.S. Centers for Disease Control and Prevention. Stored samples were available to the research community through a mechanism that has been determined by JDF. Clinical characteristics of patients, which are stored in a central database, are also made available to participating scientists. A similar collection is being carried out in the United Kingdom. This data resource allows researchers to test hypotheses that might explain why diabetic kidney disease clusters in families. This resource also is suitable for studying other complications and type 1 diabetes itself. For example, a total of 1,110 diabetes case trios was available at the end of three years.)clinical, genetics, genetic variant, gene, data setSCR_000133(Genetics of Kidneys in Diabetes, RRID:SCR_000133)George Washington University; Washington D.C.; USA Diabetic nephropathy, Type 1 diabetes, Kidney disease, Normal, ParentJDRF, NIHlisted by: One Mind Biospecimen Bank Listing, NIDDK Information Network, submitted by: NIDDK Information NetworkPMID:16775037Last checked upnlx_152764http://www.gokind.org/access
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