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https://www.wtccc.org.uk/

Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.

Proper citation: Wellcome Trust Case Control Consortium (RRID:SCR_001973) Copy   

•   Source: SciCrunch Registry

http://www.opentox.org/dev/apis/api-1.1/structure

Tools for the integration of data from various sources (public and confidential), for the generation and validation of computer models for toxic effects, libraries for the development and seamless integration of new algorithms, and scientifically sound validation routines. The goal of OpenTox is to develop an interoperable predictive toxicology framework which may be used as an enabling platform for the creation of predictive toxicology applications. OpenTox is relevent for users from a variety of research areas: Toxicological and chemical experts (e.g. risk assessors, drug designers, researchers) computer model developers and algorithm developers non specialists requiring access to Predictive Toxicology models and data OpenTox applications can combine multiple web services providing users access to distributed toxicological resources including data, computer models, validation and reporting. Applications are based on use cases that satisfy user needs in predictive toxicology. OpenTox was initiated as a collaborative project involving a combination of different enterprise, university and government research groups to design and build the initial OpenTox framework. Additionally numerous organizations with industry, regulatory or expert interests are active in providing guidance and direction. The goal is to expand OpenTox as a community project enabling additional expert and user participants to be involved in developments in as timely a manner as possible. To this end, our mission is to carry out developments in an open and transparent manner from the early days of the project, and to open up discussions and development to the global community at large, who may either participate in developments or provide user perspectives. Cooperation on data standards, data integration, ontologies, integration of algorithm predictions from different methods, and testing and validation all have significant collaboration opportunities and benefits for the community. OpenTox is working to meet the requirements of the REACH legislation using alternative testing methods to contribute to the reduction of animal experiments for toxicity testing. Relevant international authorities (e.g., ECB, ECVAM, US EPA, US FDA) and industry organizations participate actively in the advisory board of the OpenTox project and provide input for the continuing development of requirement definitions and standards for data, knowledge and model exchange. OpenTox actively supports the development and validation of in silico models and algorithms by improving the interoperability between individual systems (common standards for data and model exchange), increasing the reproducibility of in silico models (by providing a quality source of structures, toxicity data and algorithms) and by providing scientifically sound and easy-to-use validation routines. OpenTox is committed to the support and integration of alternative testing methods using in vitro assay approaches, systems biology, stem cell technology, and the mining and analysis of human epidemiological data. Hence the framework design must take into account extensibility to satisfy a broad range of scientific developments and use cases.

Proper citation: OpenTox Framework (RRID:SCR_008686) Copy   

•   Source: SciCrunch Registry

https://datasus.saude.gov.br/informacoes-de-saude-tabnet/

Portal to find all informations about epidemiology regarding public and suplementary health in Brazil.

Proper citation: TABNET (RRID:SCR_022668) Copy   

•   Source: SciCrunch Registry

https://microbiomedb.org/

Systems biology platform for integrating, mining and analyzing microbiome experiments.Data discovery and analysis web based resource that empowers researchers to fully leverage experimental variables to interrogate microbiome datasets. Used to mine complex microbiome and metagenome studies.

Proper citation: MicrobiomeDB (RRID:SCR_022766) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/refseq/about/nonredundantproteins/

Non-redundant RefSeq protein records are currently provided for archaeal and bacterial RefSeq genomes, with exception of selected reference genomes, by NCBI prokaryotic genome annotation pipeline. This scope definition may change in the future to include additional RefSeq sub-kingdoms or other organism groups and some GenBank conceptual translation protein records may provide cross-links to RefSeq non-redundant proteins.

Proper citation: RefSeq non-redundant proteins (RRID:SCR_022748) Copy   

•   Source: SciCrunch Registry

https://www.internationalbrainlab.com/data

Data portal hosting access to behavioral data sets generated by International Brain Laboratory aiming to understand brain functions underlying decision making. Datasets are acquired in neuroscience laboratories performing experimental work. In each of these laboratories, mice are first trained in IBL decision making task following standardized training pipeline.

Proper citation: International Brain Laboratory Data (RRID:SCR_022946) Copy   

•   Source: SciCrunch Registry

https://doi.org/10.1371/journal.pcbi.1005283.s004

Networks of extrasynaptic aminergic and peptidergic interactions in C. elegans

Proper citation: Multilayer Connectome of Caenorhabditis elegans (RRID:SCR_021009) Copy   

•   Source: SciCrunch Registry

https://amstar.ca/

Guide tool to assess methodological quality of systematic reviews. Used to evaluate systematic reviews of randomised trials. AMSTAR 2 enables more detailed assessment of systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both.

Proper citation: AMSTAR (RRID:SCR_023194) Copy   

•   Source: SciCrunch Registry

https://gadm.org/

Platform provides maps and spatial data for all countries and their sub-divisions. You can browse maps or download data to make your own maps.

Proper citation: GADM (RRID:SCR_023746) Copy   

•   Source: SciCrunch Registry

https://www.nrel.gov/grid/wind-toolkit.html

United States national wind dataset. Provides high spatial and temporal resolution wind power, wind power forecast, and meteorological data for 7-year period at over 126,000 locations throughout continental United States. The largest publicly available wind power data set in the world. Used for wind energy integration studies. It is accessible through Web-based API.

Proper citation: Wind Integration National Dataset Toolkit (RRID:SCR_023782) Copy   

•   Source: SciCrunch Registry

https://library.ucdavis.edu/

Collections include print and ebooks, newspapers, maps, photographs, art, historical archives, and other materials in physical and digital formats. Provides campuswide subscriptions to wide range of licensed resources, from journals and library databases to streaming media, clinical apps, and lab experiment videos. Offers access to UC collection as part of University of California.

Proper citation: UC Davis Library (RRID:SCR_024651) Copy   

•   Source: SciCrunch Registry

https://biccn.org/data

Searchable table of datasets. Data generated from projects through BRAIN Initiative Cell Census Network. Datasets can be filtered by species, research investigator, grant number or experimental technique. Includes links to data directories at data archives and links to protocols.

Proper citation: BICCN Cell Registry (RRID:SCR_017267) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/pubmed/17539361

Study of twins and their families provides tool for disentangling genetic and environmental origins of traits. Study collected behavioral and psychopathological information using self-, parent and teacher reports, and focused on contributions of genetic and environmental risk factors to psychological health of young people.

Proper citation: Cardiff Study of all Wales and North West of England Twins (RRID:SCR_017480) Copy   

•   Source: SciCrunch Registry

https://www.medrxiv.org

Free online archive and distribution server for complete but unpublished manuscripts in the medical, clinical, and related health sciences. Preprints are preliminary reports of work that have not been certified by peer review. They should not be relied on to guide clinical practice or health related behavior and should not be reported in news media as established information. Research articles, systematic reviews and meta analyses, clinical research design protocols and data articles may be posted.

Proper citation: medRxiv (RRID:SCR_018222) Copy   

•   Source: SciCrunch Registry

https://www.prisma-statement.org/protocols

Reporting guideline published in 2015 and aiming to facilitate the development and reporting of systematic review protocols.

Proper citation: PRISMA-P (RRID:SCR_025439) Copy   

•   Source: SciCrunch Registry

https://recist.eortc.org/

Provides methodology to evaluate activity and efficacy of new cancer therapeutics in solid tumors, using validated and consistent criteria to assess changes in tumor burden. RECIST Working Group comprises representatives of the European Organization for Research and Treatment of Cancer (EORTC), National Cancer Institute (NCI) of the United States and Canadian Cancer Trials Group (CCTG), as well as several pharmaceutical companies. Its mission is to ensures that RECIST undergoes continued testing, validation and updating.

Proper citation: Response Evaluation Criteria in Solid Tumors (RRID:SCR_026435) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/neurolabels

This resource was created to host descriptions of protocols, definitions and rules for the reliable identification and localization of human brain anatomy and discussions of best practices in brain labeling. Project for manual anatomical labeling of human brain MRI data, and the visual presentation of labeled brain images.

Proper citation: BrainColor: Collaborative Open Labeling Online Resource (RRID:SCR_006377) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/DDANAT

A structured controlled vocabulary of the anatomy of the slime-mould Dictyostelium discoideum.

Proper citation: Dictyostelium Discoideum Anatomy Ontology (RRID:SCR_003309) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/FB-CV

A structured controlled vocabulary used for various aspects of annotation by FlyBase. This ontology is maintained by FlyBase for various aspects of annotation not covered, or not yet covered, by other OBO ontologies. If and when community ontologies are available for the domains here covered FlyBase will use them.

Proper citation: FlyBase Controlled Vocabulary (RRID:SCR_003318) Copy   

•   Source: SciCrunch Registry

http://archive.gramene.org/plant_ontology/ontology_browse.html#eo

A structured controlled vocabulary for the representation of plant environmental conditions.

Proper citation: Plant Environmental Conditions (RRID:SCR_003460) Copy   

•   Source: SciCrunch Registry