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Found 86 result(s)

Pseudomonas Genome DB

Pseudomonas Genome Database

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The Pseudomonas Genome Database collaborates with an international panel of expert Pseudomonas researchers to provide high quality updates to the PAO1 genome annotation and make cutting edge genome analysis data available.

PROFILES Registry

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Patient Reported Outcomes Following Initial treatment and Long term Evaluation of Survivorship (PROFILES)’ is a registry for the study of the physical and psychosocial impact of cancer and its treatment from a dynamic, growing population-based cohort of both short and long-term cancer survivors. Researchers from the Netherlands Comprehensive Cancer Centre and Tilburg University in Tilburg, The Netherlands, work together with medical specialists from national hospitals in order to setup different PROFILES studies, collect the necessary data, and present the results in scientific journals and (inter)national conferences.

Research Domain Criteria Database

RDoCdb

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!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.

EyeGENE

The National Ophthalmic Genotyping and Phenotyping Network

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The eyeGENE® Research Resource is open for approved research studies. Application details here Researchers and clinicians are actively developing gene-based therapies to treat ophthalmic genetic diseases that were once considered untreatable.

GeneLab

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GeneLab is an interactive, open-access resource where scientists can upload, download, store, search, share, transfer, and analyze omics data from spaceflight and corresponding analogue experiments. Users can explore GeneLab datasets in the Data Repository, analyze data using the Analysis Platform, and create collaborative projects using the Collaborative Workspace. GeneLab promises to facilitate and improve information sharing, foster innovation, and increase the pace of scientific discovery from extremely rare and valuable space biology experiments. Discoveries made using GeneLab have begun and will continue to deepen our understanding of biology, advance the field of genomics, and help to discover cures for diseases, create better diagnostic tools, and ultimately allow astronauts to better withstand the rigors of long-duration spaceflight. GeneLab helps scientists understand how the fundamental building blocks of life itself – DNA, RNA, proteins, and metabolites – change from exposure to microgravity, radiation, and other aspects of the space environment. GeneLab does so by providing fully coordinated epigenomics, genomics, transcriptomics, proteomics, and metabolomics data alongside essential metadata describing each spaceflight and space-relevant experiment. By carefully curating and implementing best practices for data standards, users can combine individual GeneLab datasets to gain new, comprehensive insights about the effects of spaceflight on biology. In this way, GeneLab extends the scientific knowledge gained from each biological experiment conducted in space, allowing scientists from around the world to make novel discoveries and develop new hypotheses from these priceless data.

BORN Ontario

Better Outcomes Registry & Network

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The Better Outcomes Registry & Network (BORN) is Ontario's prescribed perinatal, newborn and child registry with the role of facilitating quality care for families across the province. BORN collects, interprets, shares and rigorously protects high-quality data essential to making Ontario the safest place in the world to have a baby.

Population Data BC

PopData

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Population Data BC (PopData) is a multi-university, data and education resource facilitating interdisciplinary research on the determinants of human health, well-being and development. Providing a range of services to researchers and data providers, PopData strives to ensure that researchers have timely access to the data and training they need to address research questions on population health. Research using these data informs policy-making and leads to healthier communities.

Survey Research Data Archive

SRDA

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The sources of the data sets include data sets donated by researchers, surveys carried out by SRDA, as well as by government department and other academic organizations. Prior to the release of data sets, the confidentiality and sensitivity of every survey data set are evaluated. Standard data management and cleaning procedures are applied to ensure data accuracy and completeness. In addition, metadata and relevant supplement files are also edited and attached.

Database of Genomic Variants

DGV

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The objective of the Database of Genomic Variants is to provide a comprehensive summary of structural variation in the human genome. We define structural variation as genomic alterations that involve segments of DNA that are larger than >1kb. Now we also annotate InDels in 100bp-1kb range. The content of the database is only representing structural variation identified in healthy control samples. The Database of Genomic Variants provides a useful catalog of control data for studies aiming to correlate genomic variation with phenotypic data. The database is continuously updated with new data from peer reviewed research studies. We always welcome suggestions and comments regarding the database from the research community.

Cancer in Young People in Canada

CYP-C

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The Cancer in Young People in Canada (CYP-C) surveillance program collects in-depth data concerning risk factors, health outcomes, quality and accessibility of care, and late effects among children and youth with cancer. CYP-C represents a collaboration involving the C17 Council, Canadian Partnerships Against Cancer (CPAC), Public Health Agency of Canada (PHAC), provincial and territorial cancer registries, Statistics Canada and non-governmental organizations.

TwinsUK

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The TwinsUK resource is the biggest UK adult twin registry of 14.000 twins used to study the genetic and environmental aetiology of age related complex traits and diseases.