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http://www.cnio.es/ES/grupos/plantillas/presentacion.asp?grupo=50004308

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. The need to use human neoplastic tissue under ideal conditions is currently of particular importance due to the development molecular pathology techniques that allow large-scale studies of genetic expression that are also of clinical significance. The Tumour Bank Network (TBN), instigated and coordinated by the Molecular Pathology Programme (MMP) aims to respond to this need by the promoting of Tumour Banks in Spanish hospitals. This will be achieved through the application of homogeneous procedures for the collection, processing and storage of neoplastic and normal tissue samples in such a way as to make molecular studies possible, avoiding that avoid the intrinsic bias of multi-centre studies possible. These Hospital Tumour Banks are based within the Pathology Departments of the collaborating Hospitals, that are interconnected through a computer-based network. In this way, each Centre''s tissue remains in the Hospital itself, thereby playing a key role in the development of the welfare, teaching and research activities within the Hospital. At the same time, it represents a tool to encourage of multi-hospital cancer research and of cooperation between basic and clinical researchers, constituting important collaboration between biomedical disciplines. The design does not correspond to a Central Tumour Bank, but that of a cooperative and coordinated Network of Hospital Banks, based on simple, homogeneous and optimal tissue treatment protocols. This Network is promoted by the Centro Nacional de Investigaciones Oncologicas (CNIO), which thereby undertakes the work of coordinating the network, using and maintaining the database, adhering to quality control. The aim of the CNIO's TBN is to acquire neoplastic and control non-neoplastic material of all types of malignant neoplasias, in the form of tissue fixed in formalin and paraffin embedded, of samples that are unfixed or frozen according to conventional methods as set out in Annexe 1 and even, exceptionally as fresh tissue. When other types of samples are required to carry out a specific project, the central office of the TBN will draw up a protocol with the group leading the project for the collection and maintenance of the tissue and clinicopathological data required for the proposed research. These protocols will be disseminated among the Associated Hospitals in order to gather the previously agreed number cases. Basic data surrounding the processing and preservation conditions for each case will be sent to the central office of the Bank, which under no circumstances will reveal the identity of the patient. Any Spanish cancer research team will be able to request tissue from the Tissue Bank Network. Absolute priority will be afforded to projects whose principal researcher belongs to one of the Associated Centres of the TNB, to other institutions with special agreements concerning the exchange of samples, and to the CNIO's researchers.

Proper citation: Spanish National Tumour Bank Network (RRID:SCR_008707) Copy   

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http://www.scienceexchange.com/facilities/specimen-bank-bwh-harvard

Core facility that provides the following services: Open repositories service, Sample processing service, Medical/pathology informatics support service, BWH tissue repository service.

The Specimen Bank provides materials to investigators with IRB-approved protocols. Staff are available to assist with selection of samples appropriate for downstream applications, development of processing protocols or preparation of derivatives from clinical materials. IT Staff are also available to assist researchers with creation of queries for prospective sample collection or queries to select samples from specific cohorts. Their goal is to drive quality research in an efficient and cost-effective manner. Each year they provide tens of thousands of samples to area researchers. Getting started: Partners investigators and study staff may request a Crimson user account to help manage studies and collected materials.

Proper citation: BWH Specimen Bank (RRID:SCR_012316) Copy   

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https://genome-cancer.ucsc.edu/

A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets.

Proper citation: UCSC Cancer Genomics Browser (RRID:SCR_011796) Copy   

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http://umcecaruca01.extern.umcn.nl:8080/ecaruca/ecaruca.jsp

A database of cytogenetic and clinical information on rare chromosomal disorders, including microdeletions and microduplications. The database is meant to be easily accessible for all participants, to improve patient care and collaboration between genetic centers, and collect the results of research and clinical features. The acronym ECARUCA stands for "European Cytogeneticists Association Register of Unbalanced Chromosome Aberrations".

Proper citation: ECARUCA Project (RRID:SCR_000797) Copy   

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http://www.depressiontools.org/

Online instrument that estimates whether a biomarker predicting outcome of depression treatment is likely to be clinically significant.

Proper citation: DepressionTools.org Clinical Significance Calculator (RRID:SCR_003873) Copy   

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http://acsr.ucsf.edu/

A biorepository for HIV-infected human biospecimens from a wide spectrum of HIV-related or associated diseases, including cancer, and from appropriate HIV-negative controls. The ACSR has formalin-fixed paraffin embedded biospecimens, fresh frozen biospecimens, malignant cell suspensions, fine needle aspirates, and cell lines from patients with HIV-related malignancies. It also contains serum, plasma, urine, bone marrow, cervical and anal specimens, saliva, semen, and multi-site autopsy speicmens from patients with HIV-related malignancies including those who have participated in clinical trials. The ACSR has an associated databank that contains prognostic, staging, outcome and treatment data on patients from whom tissues were obtained. The ACSR database contains more than 300,000 individual biospecimens with associated clinical information. Biospecimens are entered into the ACSR database by processing type, disease category, and number of cases defined by disease category.

Proper citation: AIDS and Cancer Specimen Resource (RRID:SCR_004216) Copy   

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https://scicrunch.org/browse/resourcesedit/SCR_004214

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 18, 2022. A tumor bank that provides a large collection of cancer specimens, from breast and other cancers, annotated with clinical information. The CBCF TB enables researchers to address unanswered questions concerning the prognosis and treatment of breast cancer and other cancers. The CBCF TB website is also directed to participants interested in donating tumor tissue or blood. Biological specimens such as blood, urine, bone marrow, and ascites (fluid that sometimes collects in the abdomen) contain genetic information, just as tumor tissue does. These samples can be used in studies that may help researchers see how people with certain genetic make-ups respond to certain treatments. It can also explain why different people have different health problems. CBCF TB, formerly ARTB, was created by a merger of components of two existing Tumor-banking initiatives, the CLS Repository in Calgary and the Tumor bank of the PolyomX Program in Edmonton.

Proper citation: Canadian Breast Cancer Foundation Tumor Bank (RRID:SCR_004214) Copy   

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http://www.tumorbank.unibe.ch/

Tumorbank Bern - TBB collects high quality clinical samples since 2003 for translational research selected by expert pathologists under controlled conditions of normal and diseased tissue from different origin. The Tumor Bank is approved by the Ethical Commission of Bern, we only collect samples with written informed patient consent. Origin of Tissue: Thoracic Surgery, Gynecology, Urology, Visceral Surgery, Orthopedic Surgery, Head and Neck Surgery, Neurosurgery Tumorbank Bern TBB holds 12,000 samples from 3600 Patients. Please contact us to check if we have samples for your field of research.

Proper citation: Tumorbank Bern (RRID:SCR_004611) Copy   

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http://www.nsabp.pitt.edu/NSABP_Pathology.asp

The NSABP (National Surgical Adjuvant Breast and Bowel Project) Tissue Bank is the central repository of tissue samples (stained and unstained slides, tissue blocks, and frozen tissue specimens) collected from clinical trials conducted by the NSABP. The main scientific aim of the NSABP Division of Pathology is to develop clinical context-specific prognostic markers and predictive markers that predict response to or benefit from specific therapeutic modality. To achieve this aim, the laboratory collects the tumor and adjacent normal tissues from cancer patients enrolled into the NSABP trials through its membership institutions, and maintain these valuable materials with clinical follow-up information and distribute them to qualified approved investigators. Currently, specimens from more than 90,000 cases of breast and colon cancer are stored and maintained at the bank. Paraffin embedded tumor specimens are available from NSABP trials. We currently do not bank frozen tissues. All blocks are from patients enrolled in prospective NSABP treatment protocols and complete clinical follow up information as well as demographic information is available. Depending on the project, unstained tissue sections of 4-micrometer thickness, tissue microarrays, or stained slides are provided to the investigators in a blinded study format. Any investigators with novel projects that conform to the research goals of NSABP may apply for the tissue. Please refer to the NSABP Tissue Bank Policy to determine if your project conforms to these goals. Priority is given to NSABP membership institutions who regularly submit tissue blocks.

Proper citation: National Surgical Adjuvant Breast and Bowel Project Tissue Bank (RRID:SCR_004506) Copy   

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http://omniBiomarker.bme.gatech.edu

omniBiomarker is a web-application for analysis of high-throughput -omic data. Its primary function is to identify differentially expressed biomarkers that may be used for diagnostic or prognostic clinical prediction. Currently, omniBiomarker allows users to analyze their data with many different ranking methods simultaneously using a high-performance compute cluster. The next release of omniBiomarker will automatically select the most biologically relevant ranking method based on user input regarding prior knowledge. The omniBiomarker workflow * Data: Gene Expression * Algorithms: Knowledge-Driven Gene Ranking * Differentially expressed Genes * Clinical / Biological Validation * Knowledge: NCI Thesaurus of Cancer, Cancer Gene Index * back to Algorithms

Proper citation: omniBiomarker (RRID:SCR_005750) Copy   

•   Source: SciCrunch Registry

http://www.dana.org

A private philanthropy with principal interests in brain science, immunology, and education. The portal provides general information about the brain and current brain research, links to validated sites related brain disorders, education resources and lesson plans, and support for the training of in-school arts specialists. The Dana Foundation science and health grants support brain research in neuroscience and immunology and their interrelationship in human health and disease. The grant sections include brain and immuno-imaging, clinical neuroscience research, human immunology and neuroimmunology. The Foundation also occasionally sponsors workshops and forums for working scientists, as well as offering funding for selected young researchers to continue their education or to attend seminars and workshops elsewhere.

Proper citation: Dana Foundation (RRID:SCR_002789) Copy   

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http://nbc.jhu.edu/

This center provides routine behavioral/cognitive testing of mice with phenotypes that are expressed as a consequence of alterations at the level of gene function, and that are relevant to basic neuroscience and to animal models of neurological and psychiatric disorders. Current Research Behavioral testing within the center involves a collaborative component in which mice provided by users are assessed for behavioral/cognitive functions. All research includes behavioral assessment of a variety of genetically altered mice provided by users. Services Provided The objective of the center is to provide a link between genetic and molecular analysis of neural function and the study of integrative systems and clinical conditions through behavioral assessment of animal models, and mouse behavioral phenotypes generated by genetic modification. Sponsors: This resource is supported by the National Center of Research Resources (Grant Number: P40 RR017688).

Proper citation: Neurogenetics and Behavior Center (RRID:SCR_002851) Copy   

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http://cbio.mskcc.org/

Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling

Proper citation: Computational Biology Center (RRID:SCR_002877) Copy   

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http://www.iscos.org.uk

ISCoS promotes the highest standard of care in the practice of spinal cord injury for men, women and children throughout the world. Through its medical and multi disciplinary team of Professionals ISCoS endeavours to foster education, research and clinical excellence. ISCoS has a membership of over 1,000 Clinicians and Scientists from 87 countries. They regularly update their knowledge at the Annual Scientific Meeting held in a different country each year. Goals of ISCoS: :- Serve as an international impartial, non-political and non-profit making association whose purpose is to study all problems relating to traumatic and non-traumatic lesions of the spinal cord. This includes causes, prevention, basic and clinical research, medical and surgical management, clinical practice, education, rehabilitation and social reintegration. This society will function in close collaboration with other national and international bodies, thereby encouraging the most efficient use of available resources. :- Provide a scientific exchange among its members and others by collecting and disseminating information through publications, correspondence, exhibits, regional and international seminars, symposia, conferences and otherwise. :- Advise, encourage, promote and when requested, assist in efforts to co-ordinate or guide research, development and evaluation activities related to spinal cord lesions throughout the world. :- Advise, encourage, guide and support the efforts of those responsible for the care of patients involved and when requested, correlate these activities throughout the world. :- Advise, encourage, guide and support the efforts of those responsible for the education and training of medical professionals and professionals allied to medicine and when requested, correlate these activities throughout the world.

Proper citation: International Spinal Cord Society (RRID:SCR_002908) Copy   

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http://www.crdamc.amedd.army.mil/behav-health/strong-star.aspx

A multidisciplinary and multi-institutional research consortium to develop and evaluate the most effective early interventions possible for the detection, prevention, and treatment of combatrelated posttraumatic stress disorder (PTSD) in activeduty military personnel and recently discharged veterans. Complementary investigations are focused on the root causes of PTSD, including biological factors that influence PTSD susceptibility and recovery; the influence of comorbid physical and psychological ailments; and the interaction of cognitive-behavioral therapies and pharmacologic treatments. The full cohort of STRONG STAR trials include: Treatment Studies, Biological Studies, Epidemiological Studies, and Preclinical Studies. STRONG STAR is currently conducting three clinical treatment trials at Carl R. Darnall Army Medical Center (CRDAMC). The studies are examining the effectiveness of Cognitive Processing Therapy (CPT), Prolonged Exposure Therapy (PE) and Cognitive Behavioral Therapy for Insomnia (CBTi) with active duty service members. Treatments are offered in individual, group, and online formats, and last from two to eight weeks. Study participants must be active duty service members who will remain in the Ft Hood area for at least 34 months to complete initial assessments and treatment programs. Referrals to the treatment studies can be made through a behavioral health provider or through selfreferral., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Strong Star (RRID:SCR_003132) Copy   

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https://cabig.nci.nih.gov/tools/caTRIP

THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity.

Proper citation: caTRIP (RRID:SCR_003409) Copy   

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http://edoctoring.ncl.ac.uk/Public_site/

Online educational tool that brings challenging clinical practice to your computer, providing medical education that is engaging, challenging and interactive. While there is no substitute for real-life direct contact with patients or colleagues, research has shown that interactive online education can be a highly effective and enjoyable method of learning many components of clinical medicine, including ethics, clinical management, epidemiology and communication skills. eDoctoring offers 25 simulated clinical cases, 15 interactive tutorials and a virtual library containing numerous articles, fast facts and video clips. Their learning material is arranged in the following content areas: * Ethical, Legal and Social Implications of Genetic Testing * Palliative and End-of-Life Care * Prostate Cancer Screening and Shared Decision-Making

Proper citation: eDoctoring (RRID:SCR_003336) Copy   

•   Source: SciCrunch Registry

http://www.minituba.org

miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables.

Proper citation: miniTUBA (RRID:SCR_003447) Copy   

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http://www.chr7.org

Database containing the DNA sequence and annotation of the entire human chromosome 7, encompassing nearly 158 million nucleotides of DNA and 1917 gene structures, are presented; the most up to date collation of sequence, gene, and other annotations from all databases (eg. Celera published, NCBI, Ensembl, RIKEN, UCSC) as well as unpublished data. To generate a higher order description, additional structural features such as imprinted genes, fragile sites, and segmental duplications were integrated at the level of the DNA sequence with medical genetic data, including 440 chromosome rearrangement breakpoints associated with disease. The objective of this project is to generate a comprehensive description of human chromosome 7 to facilitate biological discovery, disease gene research and medical genetic applications. There are over 360 disease-associated genes or loci on chromosome 7. A major challenge ahead will be to represent chromosome alterations, variants, and polymorphisms and their related phenotypes (or lack thereof), in an accessible way. In addition to being a primary data source, this site serves as a weighing station for testing community ideas and information to produce highly curated data to be submitted to other databases such as NCBI, Ensembl, and UCSC. Therefore, any useful data submitted will be curated and shown in this database. All Chromosome 7 genomic clones (cosmids, BACs, YACs) listed in GBrowser and in other data tables are freely distributed.

Proper citation: Chromosome 7 Annotation Project (RRID:SCR_007134) Copy   

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https://ida.loni.usc.edu/login.jsp

Archive used for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.

Proper citation: LONI Image and Data Archive (RRID:SCR_007283) Copy   

•   Source: SciCrunch Registry