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http://ccr.coriell.org/Sections/Collections/CHDI/?SsId=45

HD Community BioRepository is a secure, centralized repository that stores and distributes quality-controlled, reliable research reagents. This repository currently provides access to huntingtin DNAs, polyclonal antibodies (with antigenic peptides) and cell lines. Monoclonal antibodies and hybridomas will be added in the near future. Working together with the Coriell Institute for Medical Research, CHDI Foundation established this secure, centralized repository to store and distribute quality-controlled and reliable research reagents to give research scientists unobstructed access to biomaterials and to support the discovery of therapeutics that will slow or prevent Huntington's disease. Huntington's disease is a fatal, familial disease caused by a mutation in the huntingtin gene. The mutation causes brain cells to malfunction, resulting in cognitive and physical impairments that, over the course of the disease, isolate and constrain the individual. There is currently no way to stop or reverse the course of Huntington's disease. Researchers currently not collaborating with CHDI Foundation may request these Huntington's disease resources from the HD Community BioRepository through the website; CHDI collaborators are asked to contact Mithra Mahmoudi at CHDI Management. Materials will be sent after completing a simple online MTA. Recipients are asked to cover the costs of shipping and handling. Persons with Huntington's disease bioresources interested in making them available to the research community through the HD Community BioRepository should also contact CHDI Management.

Proper citation: HD Community BioRepository (RRID:SCR_004621) Copy   

•   Source: SciCrunch Registry

http://clkb.ncibi.org

Public data warehouse for searching cell line data extracted from both ATCC and HyperCLDB. The knowledge base uses the Cell Line Ontology, created with the Protege ontology editing tool from the National Center for Biomedical Ontologies (NCBO) and merges concepts from other ontologies, including the Cell Type Ontology. The Cell Line Knowledge Base uses our Cell Line Ontology as the underlying data model. The ontology defines the following cell line attributes: Cell Line ID, Organism, Tissue, Pathology, Growth Mode, MeSH ID. To report errors in the data or to add cell line data to the knowledge base, please email: clbk-data (at) umich.edu

Proper citation: Cell Line Knowledge Base (RRID:SCR_005832) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/AUTISM/?SsId=13

A genetic resource to support the study of autism in families where more than one child is affected or where one child is affected and one demonstrates another significant and related developmental disorder. An open bank of anonymously collected materials documented by a detailed clinical diagnosis forms the basis of this growing database of information about the disease. The Autism Resource is housed at the Coriell Institute for Medical Research in New Jersey, which holds the world''s largest collection of human cells for use in genetic research. The Autism Research Resource has been built through a full collaboration between Coriell and clinical services at the UMDNJ-Robert Wood Johnson Medical school, New Brunswick campus, which provides clinical information and diagnosis. All clinical interviews were conducted face-to-face. Further multiplex families will be added to the resource in a continuing program of diagnosis and Repository development. The Autism Research Resource includes cell lines and DNA from families with more than one child who meets criteria for autistic disorder. An additional group of families is included in which monozygotic twins meet all criteria for autistic disorder. Also included in this resource, however, are families in which one child meets the criteria for autistic disorder while another child displays behavior with a broader phenotype of falling within the spectrum of autistic disorder. A small number of multiplex families is included in which one child meets all criteria for autistic disorder and a second has a behavioral disorder falling outside the autism spectrum. Pedigrees are provided for each family. Where clinical statements are noted for individuals other than the affected children and parent(s), these should be judged as reported. All family relationships have been verified by confirming the molecular identities, established using a panel of six microsatellite markers.

Proper citation: Autism Research Resource (RRID:SCR_004623) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/IPBIR/?SsId=18

The purpose of the IPBIR - Integrated Primate Biomaterials and Information Resource is to assemble, characterize, and distribute high-quality DNA samples of known provenance with accompanying demographic, geographic, and behavioral information in order to stimulate and facilitate research in primate genetic diversity and evolution, comparative genomics, and population genetics. Further research in these areas will advance our understanding of human origins, the biological basis of cognitive processes, evolutionary history and relationships, and social structure, and will provide critical scientific information needed to facilitate conservation of biological diversity. The derived DNA will be openly available to the broad scientific community who agree to restrict use to non-commercial purposes. DNA and cell culture samples are distributed only to qualified professional persons who are associated with recognized research, medical, or educational organizations engaged in research.

Proper citation: IPBIR - Integrated Primate Biomaterials and Information Resource (RRID:SCR_004614) Copy   

•   Source: SciCrunch Registry

http://www.nationalstemcellbank.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 17, 2011. The US government contract funding the National Stem Cell Bank (NSCB) ended on February 28, 2010.
A repository for the pluripotent stem cells lines listed on the NIH Human Pluripotent Stem Cell Registry. These cells were derived prior to August 2001 using excess IVF embryos and were eligible for use in federally funded research under previous presidential policy. The eligibility of these lines will not be known until the NIH issues final stem cell guidelines in July 2009. The goal of the NSCB is to grow, characterize and distribute the cell lines listed on the registry, and to provide comprehensive technical support to stem cell researchers around the world.
Starting February 2, 2010, these materials can be ordered from the Wisconsin International Stem Cell Bank (the WISC Bank) operated by WiCell Research Institute, for delivery after February 28, 2010.

Proper citation: National Stem Cell Bank (RRID:SCR_004725) Copy   

•   Source: SciCrunch Registry

https://sfari.org/resources/simons-simplex-collection

Repository of genetic samples from approximately 3,000 families, each of which has one child affected with an Autism Spectrum Disorder (ASD) and parents unaffected with ASD. A central database characterizing all of the study subjects is available to any qualified researcher and biospecimens are freely available to SFARI grant holders, and to other researchers on a modest fee-for-use basis. Each genetic sample will have an associated collection of data that provides a precise characterization of the individual (phenotype). Rigorous phenotyping will maximize the value of the resource for a wide variety of future research projects into the causes and mechanisms of autism. The Simons Simplex Collection is operated by SFARI in collaboration with twelve university-affiliated research clinics.

Proper citation: Simons Simplex Collection (RRID:SCR_004644) Copy   

•   Source: SciCrunch Registry

http://www.ceinet.org/node/67

The CEI Science & Technology Network (S&TN), launched at the beginning of 2004, is composed of sevenTrieste-based research centres and their partners in the CEI region. With the aim to strengthen scientific and technological cooperation, the S&TN provides financial support for the organization of seminars, conferences, workshops and training courses. Young scientists from CEI countries, especially non-EU member States, are offered the opportunity to attend such activities and carry out scientific research on various topics in one of the seven Lead Institutions (LIs). The area of cooperation of each Lead Institution is separately defined in a three-year Protocol complemented by an annual Work Programme. During 2004-2009, the Network''s Lead Institutions implemented a number of activities, some of which in partnership with other institutions from CEI countries. This cooperation started up the Secondary Network whose further enhancement will be the main challenge in the future years. The CEI Research Fellowship Programme The CEI Research Fellowship Programme was established in 2005 to enable mobility across the CEI region by giving selected scientists the possibility of carrying out research in one of the Network''s Lead Institutions. In the time-frame 2005 - 2009, the request for fellowships has constantly increased and witnessed the effectiveness of the Programme. Taking this into account, in 2008 the CEI-ES started to explore EU funding opportunities in order to develop its Research Fellowship Programme. A joint proposal named CERES (CEI Research Fellowship Programme) was submitted to the European Commission under the Seventh Framework Programme for Research and Technological Development (FP7). CERES was approved and is currently under implementation. EU Funding opportunities for the CEI Science & Technology Network Following the successful experience of CERES, the CEI-ES, along with the Network''s Lead Institutions, will continue to look into funding opportunities offered by the EU with the ultimate aim to support mobility of researchers across the CEI area and promote significant progress in the S&T sector.

Proper citation: CEI Science and Technology Network (RRID:SCR_005338) Copy   

•   Source: SciCrunch Registry

http://www.bwhct.nhs.uk/wmrgl/biobank-cehrb

The Central England Haemato-Oncology Research Biobank stores excess material from oncology samples referred for diagnostic testing and disease monitoring at the West Midlands Regional Genetics Laboratory (WMRGL). The bank is housed within the WMRGL. Types of material stored include viable cells, fixed cell suspensions, DNA, RNA / cDNA, and plasma. The material is made available to all cancer research groups both locally and nationally. Excess sample (mainly from blood and bone marrow) is stored from diagnostic patient material and from samples received throughout their disease course. The WMRGL serves a population of about 5.5 million and is the largest UK NHS genetic Lab. Due to the large patient population CEHRB is able to collate sufficient research material from all classifications of neoplastic haematological disorders including those that are rare.

Proper citation: Central England Haemato-Oncology Research Biobank (RRID:SCR_004637) Copy   

•   Source: SciCrunch Registry

http://www.bioreliance.com/biorepository.aspx

The BioReliance Biorepository offers secure cell storage of eukaryotic, prokaryotic and viral biological materials. Our vapor phase liquid nitrogen and -80����??C freezers offer complete flexibility and protection. Each bank is certified free from mycoplasma and tested for sterility prior to storage and then divided and stored in separate validated vessels. Our continuously monitored facilities in US and UK follow cGMP.

Proper citation: BioReliance Biorepository (RRID:SCR_004598) Copy   

•   Source: SciCrunch Registry

http://ccr.coriell.org/Sections/Collections/Wistar/?SsId=74

Collection of cell lines developed by Wistar scientists that includes a group of hybridomas that produce monoclonal antibodies that are useful in influenza research and vaccine development, melanoma cell lines derived from patients with diseases ranging from mild dysplasia to advanced metastatic cancer and a range of human endothelial cell lines.

Proper citation: Wistar Institute Collection at Coriell (RRID:SCR_004660) Copy   

•   Source: SciCrunch Registry

http://nimhstemcells.org/

Induced Pluripotent Stem Cell (iPSC) and Source Cells available for distribution for postnatal-to-adult human control and patient-derived cells and their reprogrammed derivatives in support of stem cell research relevant to mental disorders. This includes but is not limited to anxiety disorders, attention deficit hyperactivity disorder, autism spectrum disorders, bipolar disorder, borderline personality disorder, depression, eating disorders, obsessive-compulsive disorder, panic disorder, post-traumatic stress disorder, and schizophrenia. The capabilities of the repository range from derivation and banking of primary source cells from postnatal through adult human subject tissue to more comprehensive banking and validation of induced pluripotent stem cells (iPSCs) or similar reprogrammed / de-differentiated cells. Please send a message with the Contact page if you wish to contribute source cells or iPSC.

Proper citation: NIMH Stem Cell Center (RRID:SCR_006682) Copy   

•   Source: SciCrunch Registry

http://tikus.gsf.de

THIS RESOURCE IS NO LONGER IN SERVICE, documented on October 23, 2014. Consortium that generated a reference library of gene trap sequence tags (GTST) from insertional mutations generated in mouse embryonic stem (ES) cells. The gene trap database represents a repository of sequences produced in a large scale gene trap screen in mouse ES cells using various gene trapping vectors which are delivered either by electroporation or retroviral infections. A type of retroviral gene trap vector has been developed that can induce conditional mutations in most genes expressed in mouse embryonic stem (ES) cells. The vectors rely on directional site-specific recombination systems that can repair and re-induce gene trap mutations when activated in succession. After the gene traps are inserted into the mouse genome, genetic mutations can be produced at a particular time and place in somatic cells. In addition to their conditional features, the vectors create multipurpose alleles amenable to a wide range of post-insertional modifications. Here they have used these directional recombination vectors to assemble the largest library of ES cell lines with conditional mutations in single genes yet assembled, presently totaling 1,000 unique genes. The trapped ES cell lines, which can be ordered from the German Gene Trap Consortium, are freely available to the scientific community.

Proper citation: German Gene Trap Consortium (RRID:SCR_008532) Copy   

•   Source: SciCrunch Registry

http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/02744/version/1

Data set of a follow-up study (one of four Established Populations for Epidemiologic Studies of the Elderly - EPESE) that obtains information on four primary outcome variables (cognitive status, depression, functional status, and mortality) and four primary independent variables (social support, social class, social location, and chronic illness); and examines the relationships between social factors and chronic disease on the one hand and health outcomes on the other. This data set complements the other three sites providing a population which is both urban and rural and contains approximately equal numbers of black and white participants across a broad socioeconomic base. The Duke site was originally funded by the NIA Epidemiology, Demography and Biometry Program (EDBP) to complete seven waves of data collection (three in-person and four telephone interviews) in order to examine the health of a sample of 4,162 persons aged 65+, and factors that influence their health and use of health services. The cohort was originally interviewed in 1986/87 and followed annually for 6 years thereafter. The study design consisted of a random stratified household sample with an over-sampling of blacks. Questionnaire topics include the following: Demographics, Alcohol Use, Independence, Health condition, Cognition, Personal mastery, Health Service Utilization, Activity of daily living, Social Support, Hearing and Vision, Incontinence, Social Interaction, Weight and Height, Smoking, Religion, Nutrition, Life Satisfaction, Self Esteem, Sleep, Medications, Economic Status, Depression, Life Changes, Blood pressure. National Death Index files have been searched and death certificates obtained for the members of this study. Sample members have been matched with Medicare Part A files to obtain information on hospitalizations, and will be matched on Medicare Part B (outpatient) files. Data from the first wave of the survey is in the public domain and can be obtained from NACDA or from the National Archives, Center for Electronic Records in Washington, DC. * Dates of Study: 1996-1997 * Study Features: Longitudinal, Oversampling * Sample Size: 1986-1988: 4,162 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02744 * National Archives: http://www.archives.gov/research/electronic-records/

Proper citation: Piedmont Health Survey of the Elderly (RRID:SCR_006349) Copy   

•   Source: SciCrunch Registry

https://neuinfo.org/mynif/search.php?q=nlx_149462&t=indexable&list=cover&nif=nlx_144509-1

A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/

Proper citation: Integrated Auto-Extracted Annotation (RRID:SCR_005892) Copy   

•   Source: SciCrunch Registry

http://clip.med.yale.edu/SHM

A targeting model that defines where mutations occur (by specifying the relative rates at which DNA motifs in the Ig sequence are mutated), and a nucleotide substitution model that defines the resulting mutation (by specifying the probability of each base mutating to each of the other three possibilities as a function of the surrounding bases).

Proper citation: Models of SHM Targeting and Substitution (RRID:SCR_005250) Copy   

•   Source: SciCrunch Registry

http://www.cs.tau.ac.il/~shlomito/tissue-net/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Network visualizations in which the expression and predicted flux data are projected over the global human network. These network visualizations are accessible through the supplemental website using the publicly available Cytoscape software (Cline, Smoot et al. 2007). Since many high degree nodes exist in the network, special layouts are required to produce network visualizations that are readily interpretable. To this end we produced network visualizations in which hub nodes are repeated multiple times and hence layouts with a small number of edge crossings can be generated. Contains entries for brain compartments and brain pathways.

Proper citation: Network-based Prediction of Human Tissue-specific Metabolism (RRID:SCR_007392) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/physiobank/database/sleep-edf/

Sleep EEG dataset from 8 subjects in European Data Format (EDF) including original recordings and their hypnograms as described in B Kemp, AH Zwinderman, B Tuk, HAC Kamphuisen, JJL Obery��. Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE-BME 47(9):1185-1194 (2000). The recordings were obtained from Caucasian males and females (21 - 35 years old) without any medication; they contain horizontal EOG, FpzCz and PzOz EEG, each sampled at 100 Hz. The sc* recordings also contain the submental-EMG envelope, oro-nasal airflow, rectal body temperature and an event marker, all sampled at 1 Hz. The st* recordings contain submental EMG sampled at 100 Hz and an event marker sampled at 1 Hz. The 4 sc* recordings were obtained in 1989 from ambulatory healthy volunteers during 24 hours in their normal daily life, using a modified cassette tape recorder. The 4 st* recordings were obtained in 1994 from subjects who had mild difficulty falling asleep but were otherwise healthy, during a night in the hospital, using a miniature telemetry system with very good signal quality.

Proper citation: Sleep-EDF Database (RRID:SCR_006976) Copy   

•   Source: SciCrunch Registry

http://www.ifs.org.uk/ELSA

An interdisciplinary data resource on health, economic position and quality of life as people age. Longitudinal multidisciplinary data from a representative sample of the English population aged 50 and older have been collected. Both objective and subjective data are collected relating to health and disability, biological markers of disease, economic circumstance, social participation, networks and well-being. Participants are surveyed every two years to see how people''s health, economic and social circumstances may change over time. One of the study''s aims is to determine the relationships between functioning and health, social networks, resources and economic position as people plan for, move into and progress beyond retirement. It is patterned after the Health and Retirement Study, a similar study based in the United States. ELSA''s method of data collection includes face-to-face interview with respondents aged 50+; self-completion; and clinical, physical, and performance measurements (e.g., timed walk). Wave 2 added questions about quality of health care, literacy, and household consumption, and a visit by a nurse to obtain anthropometric, blood pressure, and lung function measurements, as well as saliva and blood samples, and to record results from tests of balance and muscle strength. Another new aspect of Wave 2 is the ''Exit Interview'' carried out with proxy informants to collect data about respondents who have died since Wave 1. This interview includes questions about the respondents'' physical and psychological health, the care and support they received, their memory and mood in the last year of their life, and details of what has happened to their finances after their death. Wave 3 data added questions related to mortgages and pensions. The intention is to conduct interviews every 2 years, and to have a nurse visit every 4 years. It also is envisioned that the ELSA data will ultimately be linked to available administrative data, such as death registry data, a cancer register, NHS hospital episodes data, National Insurance contributions, benefits, and tax credit records. The survey data are designed to be used for the investigation of a broad set of topics relevant to understanding the aging process. These include: * health trajectories, disability and healthy life expectancy; * the determinants of economic position in older age; * the links between economic position, physical health, cognition and mental health; * the nature and timing of retirement and post-retirement labour market activity; * household and family structure, social networks and social supports; * patterns, determinants and consequences of social, civic and cultural participation; * predictors of well-being. Current funding for ELSA will extend the panel to 12 years of study, giving significant potential for longitudinal analyses to examine causal processes. * Dates of Study: 2002-2007 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: ** 2000-2003 (Wave 1): 12,100 ** 2004-2005 (Wave 2): 9,433 ** 2006-2007 (Wave 3): 9,771 ** 2008-2009 (Wave 4): underway Links * Economic and Social Data Service (ESDS): http://www.esds.ac.uk/longitudinal/about/overview.asp * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00139#scope-of-study

Proper citation: English Longitudinal Study of Ageing (RRID:SCR_006727) Copy   

•   Source: SciCrunch Registry

http://omicsoft.com/osa/

A fast and accurate alignment tool for RNA-Seq data.

Proper citation: Omicsoft Sequence Aligner (RRID:SCR_005270) Copy   

•   Source: SciCrunch Registry

http://www.timelogic.com/catalog/799/velocimapper

Accelerated alignment tool for mapping data from next-generation DNA sequencing systems. It runs on TimeLogic''s newest FPGA-based DeCypher J-Series Similarity Search Engine Accelerator to provide fast and reliable results that significantly outperform software-only or GPU-accelerated alternatives.

Proper citation: VelociMapper (RRID:SCR_005262) Copy   

•   Source: SciCrunch Registry