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http://www.fmri.wfubmc.edu/cms/software

Research group based in the Department of Radiology of Wake Forest University School of Medicine devoted to the application of novel image analysis methods to research studies. The ANSIR lab also maintains a fully-automated functional and structural image processing pipeline supporting the image storage and analysis needs of a variety of scientists and imaging studies at Wake Forest. Software packages and toolkits are currently available for download from the ANSIR Laboratory, including: WFU Biological Parametric Mapping Toolbox, WFU_PickAtlas, and Adaptive Staircase Procedure for E-Prime.

Proper citation: Advanced Neuroscience Imaging Research Laboratory Software Packages (RRID:SCR_002926) Copy   

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http://www.geenivaramu.ee/en/

The Estonian Biobank is the population-based biobank of the EGCUT. The project is conducted in accordance with the Estonian Genes Research Act and all participants have signed a broad informed consent form (www.biobank.ee and Metspalu 2004, Drug Dev. Res.). As of December 2011, the biobank contains 51,515 participants (gene donors). The database of genotypic, phenotypic, health and genealogical information represents about 5% of Estonia''s adult population, and is the largest cohort ever gathered in Estonia. The age, sex and geographical distribution of this cohort reflect the structure of the adult population in Estonia. The database enables to conduct research in order to find links between genes, environmental factors, lifestyles and complex diseases or other traits. Active use of the biobank has started and although the first users are researchers all over the world with hundreds of different projects currently underway, industry is also interested. At the international level, the EGCUT will join the BBMRI follow-up program (ERIC) and through this channel provide service (biobanking, genotyping, sequencing and data analysis) for the centers in Europe who need it. Currently, the first follow-up study is underway and the molecular information of the cohort will be increased. For example, we have over 12 000 DNA samples analyzed by high density genotyping arrays and over 10 000 plasma samples analyzed by NMR scans, over 1000 individuals with RNA expression arrays, 2000 individuals with clinical laboratory analysis (over 40 tests) and over 60 full genomes are under deep sequencing. The infrastructure of the EGCUT includes a laboratory for DNA genotyping and next generation sequencing all based on Illumina platforms (HiScanSQ, HiSeq2000 and robotics), an IT unit (databases) with required computing power and storage space (1.2PB), data analysis team (bioinformatics and statistical genetics) and last but not least, a patient recruitment unit (health records, lifestyle and environmental information and biological samples ����?����������?? DNA, plasma and WBC from all 51515 gene donors). This is all located on 1000m2 in a brand new laboratory building, Riia str 23, Tartu, Estonia.

Proper citation: Estonian Genome Center (RRID:SCR_004467) Copy   

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http://www.oncoreuk.org/

No longer functioning as an independent charity, onCore UK is a national cancer biobanking organization. Our mission is to serve as an action team that informs, coordinates and develops cancer biobanking to enable research towards the discovery and development of new interventions against cancer. We also offer advice to researchers who need to collect and store samples for their own specific projects. Our main strategic objectives are: * To empower research using human biosamples to find new and effective means of preventing, detecting or treating cancer. * To improve access by researchers to the human biosamples they require for their work. * To facilitate an environment in which patients, the public, health professionals, researchers, funders of research, policy makers and regulators can work together to support cancer biobanking and the research it underpins. * To provide practical information, coordination and development for current and future people and organizations involved in cancer biobanking to ensure that they are not unnecessarily hindered in their work. * To provide an accurate and regularly updated picture of the cancer biobanking provision in the UK that will inform future decisions by funders supporting research using donated human biosamples. * To distribute the human biosamples that onCore UK has in its custody. onCore UK conducts its business within the overall scope of the National Cancer Research Institute (NCRI) and for the benefit of cancer research. In the past we have also worked with selected NHS hospitals in different parts of the country to collect biosamples and relevant clinical data donated by cancer patients. These biosamples are stored in a secure repository and researchers can apply to use them. We make anonymized biosamples and data available for scientifically and ethically approved research on a cost-recovery basis. onCore UK works with other cancer biobanks in the UK via the NCRI Confederation of Cancer Biobanks (CCB), and with other biobanks internationally, to improve access for researchers to larger numbers of high quality biosamples, to harmonize how biobanks work and to share expertise for the benefit of all involved.

Proper citation: onCore UK (RRID:SCR_004348) Copy   

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http://bbmri-eric.eu

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.

Proper citation: Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) (RRID:SCR_004226) Copy   

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http://www.nitrc.org/projects/multimpute/

A software toolkit that performs multiple imputation for group level, single sample t-tests. Whole brain group level statistic maps from fMRI rarely cover the entire brain as a result of missing data. Missingness between subjects in fMRI datasets can result from susceptibility artifacts, bounding box (acquisition parameters), and small differences in post-normalized morphology. The toolkit consists of several interactive command line scripts that guide the user to map the spatial distribution of missing data across contrast images, calculate spatial neighborhood averages that help impute values, perform conventional and multiple imputed t-statistics, save the results to brain maps, and create result tables. The toolkit contains an instruction manual (pdf), two Matlab scripts and one R-Statistics script, which depend on functions defined in the popular SPM toolbox and functions defined in the MICE package for (R).

Proper citation: Group Level Imputation of Statistic Maps (RRID:SCR_002397) Copy   

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http://collaborations.gis.a-star.edu.sg/~cmb6/TherMos/

Software used for estimating protein-DNA binding energies from in vivo binding profiles. It is a de novo motif discovery algorithm that exploits the information in transcription factor ChIP-seq or ChIP-exo datasets based on a more natural thermodynamic formalism., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TherMos (RRID:SCR_002790) Copy   

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http://www.partners.org/researchcores/clinical/specimen_BWH.html

The Crimson Biospecimen Core prospectively collects discarded clinical materials matching investigator-defined criteria. Queries are run against real-time data on recently received clinical samples, including ICD.9 codes and results of clinical laboratory testing. Studies using the core must either (1) have an IRB-approved protocol for discarded clinical materials and anonymized information or (2) a protocol to allow collection of discarded samples from patients consented for their study. Collected samples may be additionally processed, aliquotted, or tested per the menu of tests available within the BWH and MGH Clinical Laboratories and Partners Genomics Center. Services: * Collection of discarded clinical specimens including serum, plasma, CSF, urine and microbiological isolates for IRB-approved studies. * Processing or additional clinical testing of collected materials. * Ability to receive consented patient samples for processing and clinical testing. * Online interface to manage collected sample inventories, associated test results, and study users/workgroup per IRB-approval.

Proper citation: Crimson Biospecimen Core (RRID:SCR_004451) Copy   

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http://ccr.coriell.org/Sections/Collections/HuREF/?SsId=78

The Human Reference Genetic Material Repository makes available DNA from a single individual, J. Craig Venter, whose genome has been sequenced and assembled. The DNA samples are prepared from a lymphoblastoid cell line established at Coriell Cell Repositories from a sample of peripheral blood. The DNA samples are available in 50 microgram aliquots. The lymphoblastoid cell line is not available for distribution. The human DNA sample provided is that of J. Craig Venter whose DNA from white blood cells and sperm was sequenced using Sanger chemistry (ABI Capillary Electrophoresis Platforms 3700 and 3730xl), assembled using the Celera Assembler and was published in PLoS Biology . J. Craig Venter, born on 14 October 1946, is a Caucasian male of self-reported European-American ancestry. The data available on this sample, whose genome assembly is referred to as HuRef, includes: * Whole Genome Shotgun Sequencing data * Sequence trace set deposited by JCVI in the NCBI trace archive * Human Genome Browser displaying sequence assembly, DNA variants and gene annotations Additional data sets from this study include: * Full set of Sanger reads used for genome assembly * SNP and insertion/deletion variant on the human genome sequence coordinates (NCBI version 36) * Affymetrix 500K GeneChip data * Illumina HumanHap650Y Genotyping BeadChip data Given the amount of data publicly available the genomic content of this sample, HuRef will be useful as a reference for many genetic studies.

Proper citation: Human Reference Genetic Material Repository (RRID:SCR_004693) Copy   

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http://www.biomax.us/

Our robust searchable Tissue Bank database at US Biomax contains normal, non-cancerous disease and cancer samples, just a fraction of total paraffin tissue bank. Use advanced search function to define your search. Some of them have H&E images. Our tissue repository, tissue bank has huge paraffin tissue blocks, a large selection of histology tissue section slides of human cancer, normal tissue, rhesus and cynomolgus normal fresh frozen tissue as well as paraffin blocks and slides. It has also normal human organs in paraffin embedded tissue blocks as well as rhesus and cynomolgus monkey normal organ tissues. Snap frozen (fresh frozen) tissue of rhesus/cynomolgus monkey are also available. We also provide tissue array, custom tissue microarray (with samples you provided or from our tissue bank) as well as OEM services. Other products/services available include tissue microarray, paraffin tissue sections, histology services and quantitative telomerase detection kit.

Proper citation: US Biomax (RRID:SCR_004295) Copy   

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http://www.uthouston.edu/uth-big/Projects/BioBank.htm

The University of Texas Health Science Center at Houston (UTHealth) Clinical and Translational Sciences (CCTS) BioBank employs a federated rather than a centralized model which encourages participation by sample owners who are concerned about guaranteeing their ownership of samples and sample information about patients, samples and related clinical data. In a federated model, individual sites agree on shared policies and procedures for data and sample sharing and oversight. Samples remain with and are governed by the contributing principal investigator at each site. The contributing investigator has final authority whether or not to collaborate or to release samples to qualified researchers. The goal of SLED (Sample Location and Enhanced Distribution) is to help researchers overcome two of the biggest obstacles preventing their research from beginning: 1) location of samples and related data, and 2) requesting of samples and related data. Prior to SLED''s inception the existing system was limited to providing links to samples and data and relying on phone calls to sample owners to facilitate sharing. Collaboration between the CTSA Biobank Consortium and the informatics team at the University of Texas School of Biomedical Informatics is ongoing during this effort. The initial design was constructed using best practices offered by NIH, NCI, and other biobank industry leaders to support and to improve synergy and interaction among various research efforts. Through SLED, researchers will be able to search for samples using a variety of criteria including availability, clinical data, consent criteria, patient demographics, patient diagnoses, study data, and sample type at local and national biobank sites.

Proper citation: UTHealth BioBank (RRID:SCR_004570) Copy   

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http://www.spaintechnology.com/biotech/news/hiv-biobank.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on September 15, 2011. The Spanish HIV BioBank was created with the objectives of processing, storing and providing distinct samples from HIV/AIDS patients, categorized according to strictly defined characteristics, free of charge to research projects. Strict compliance to ethical norms is always guaranteed. HIV BioBank possesses nearly 50,000 vials containing different prospective longitudinal study sample types. More than 1,700 of these samples are now used in 19 national and international research projects. (2009) The HIV BioBank represents a novel approach to HIV research that might be of general interest not only for basic and clinical research teams working on HIV, but also for those groups trying to establish large networks focused on research on specific clinical problems. It also represents a model to stimulate cooperative research among large numbers of research groups working as a network on specific clinical problems. The HIV BioBank is able to very efficiently release samples to different research project not only in Spain but also in other countries.

Proper citation: HIV Biobank (RRID:SCR_004691) Copy   

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http://www.acceleratedcure.org/impact/repository

A repository of biological samples and data from people with multiple sclerosis, selected other demyelinating diseases, and unaffected controls. The repository not only provides much-needed samples and data to researchers studying MS and other diseases, but also aggregates the results from all of these studies so that they can be analyzed collectively, leading to new findings and breakthroughs. The repository collects blood, DNA, and imaging once per year. The repository currently includes samples and data from over 2,700 subjects with Multiple Sclerosis, Neuromyelitis Optica, Acute Disseminated Encephalomyelitis, Transverse Myelitis, Optic Neuritis, and Clinically Isolated Syndromes, as well as controls. Blood samples are provided as aliquots as serum, plasma, DNA, RNA, and lymphocytes and each sample is accompanied by more than 40 pages of clinical and epidemiological data contributed by the subject and the enrolling neurologist.

Proper citation: Accelerated Cure Project MS Repository (RRID:SCR_004208) Copy   

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http://cgsc.biology.yale.edu/index.php

The CGSC Collection contains only non-pathogenic BSL-1 laboratory strains, primarily genetic derivatives of Escherichia coli K-12, the laboratory strain widely used in genetic and molecular studies, but a few B strains. The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature. The public version of the database includes this information and can be queried directly via this CGSC DB WebServer. The collection includes cultures of wild-type contributed from a number of laboratories and a few thousand derivatives carrying one or up to 29 mutations from among 3500 mutations in (or included in deletions spanning) more than 1300 different loci. Some combinations were constructed particularly for mapping purposes and are still used for teaching and for rapid localization, some for manifestation of a particular phenotype, some strains for transferring a particular region or for complementation analysis. Some plasmids, e.g., the Clarke and Carbon collection, F-primes, a number of toolkit plasmids, and a few classic plasmids are included, but it is not a comprehensive collection of plasmids. Additionally, we have recently acquired most of the strains from the Keio Collection of systematic individual gene knockout (deletion/kan insertion) strains.

Proper citation: CGSC (RRID:SCR_002303) Copy   

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http://imaging.indyrad.iupui.edu/projects/SPHARM/

A matlab-based 3D shape modeling and analysis toolkit, and is designed to aid statistical shape analysis for identifying morphometric changes in 3D structures of interest related to different conditions. SPHARM-MAT is implemented based on a powerful 3D Fourier surface representation method called SPHARM, which creates parametric surface models using spherical harmonics.

Proper citation: SPHARM-MAT (RRID:SCR_002545) Copy   

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http://sccn.ucsd.edu/wiki/MPT

This toolbox is an EEGLAB plugin for performing Measure Projection Analysis. Measure Projection Analysis (MPA) is a novel probabilistic multi-subject inference method that overcomes EEG Independent Component (IC) clustering issues by abandoning the notion of distinct IC clusters. Instead, it searches voxel by voxel for brain regions having event-related IC process dynamics that exhibit statistically significant consistency across subjects and/or sessions as quantified by the values of various EEG measures. Local-mean EEG measure values are then assigned to all such locations based on a probabilistic model of IC localization error and inter-subject anatomical and functional differences.

Proper citation: Measure Projection Toolbox (RRID:SCR_002429) Copy   

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http://www.medunigraz.at/en/biobank

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).

Proper citation: Biobank Graz (RRID:SCR_004245) Copy   

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http://www3.marshfieldclinic.org/chg/pages/default.aspx?page=chg_pers_med_res_prj

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. A large collection of biological samples and health information collected for the Personalized Medicine Research Project (PMRP) for use in biological research. Genetic information from 20,000 participants forms a database enabling scientists to study which genes cause disease, which genes predict reactions to drugs, and how environment and genes work together to cause disease. The goal of this project is to learn how to apply genetic science to human health. This knowledge will help researchers develop new medications and diagnostic tests, and will enable physicians to prescribe medications that work best for a particular person. Marshfield Clinic Personalized Medicine Research Project (PMRP) resources currently available: DNA, plasma, serum, questionnaire, electronic medical records to construct phenotypes; ability to recontact subjects for additional information (where they have given consent for recontact); stored pathology specimens collected for clinical purposes; 51 clinically relevant polymorphisms; Illumina 660 quad for ~4200 subjects aged 50+.

Proper citation: Marshfield Clinic Biobank (RRID:SCR_004368) Copy   

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https://eyegene.nih.gov

National network of research laboratories for genetic testing of eye disease. They offer testing for affected individuals coupled to registry of clinical information available through patient registry. Large data set for investigators to identify additional genetic risk factors and to explore relationship between genetic disease (genotype) and its clinical manifestation (phenotype).

Proper citation: eyeGENE (RRID:SCR_004523) Copy   

•   Source: SciCrunch Registry

http://www.agre.org/index.cfm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. A private repository of clinical and genetic information on families with autism. Genetic and clinical data are obtained from families that have more than one family member diagnosed with an Autism Spectrum Disorder. The biological samples, along with the accompanying clinical data, are made available to AGRE-approved researchers worldwide. As they become available, additional family pedigrees will be posted in the online catalog. Cell lines have been established for the majority of families in this collection and serum/plasma is available on a subset of the subjects until stocks are depleted. The diagnosis of autism has been made using the standard Autism Diagnostic Interview-Revised (ADI-R) algorithm and the Autism Diagnostic Observation Scale (ADOS-G). Detailed birth and medical histories (including basic dysmorphology assessments) on children as well as family and medical information for parents and unaffected siblings, are available for nearly all families. DNA, cell lines, serum, plasma and clinical information are made available to AGRE-approved researchers for analysis.

Proper citation: Autism Genetic Resource Exchange (RRID:SCR_004403) Copy   

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http://genomics.ucsf.edu/dna-bank

The DNA Bank accepts the clinical samples from projects that have been approved by the Committee on Human Research (CHR). Genomic DNA isolation is performed utilizing standardized and quality controlled Gentra Systems'' PureGene DNA isolation system or Qiagen Kits. The quantity and quality of the genomic DNA isolate is determined by 260/280 UV spectrophotometery. Following isolation and quality assessment, DNA can be aliquoted into a normalized concentration. The preparation of aliquots serves to allow ready distribution of DNA samples to both the client laboratory and their collaborators and to preclude excessive routine freezing and thawing of the primary DNA isolate, a practice which is well known to result in notable degradation of genomic DNA stocks. All samples are stored in alarmed Revco ultra-low freezers at -80����?����?����?��������C. All of the ultra-low freezer units utilized by the DNA Bank are monitored by a temperature sensitive alarm system that provides 24 hour oversight. In the event of a power outage, all freezers are on an emergency back-up electrical generator.

Proper citation: UCSF DNA Bank (RRID:SCR_004248) Copy   

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