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International collaboration producing an extensive public catalog of human genetic variation, including SNPs and structural variants, and their haplotype contexts, in an effort to provide a foundation for investigating the relationship between genotype and phenotype. The genomes of about 2500 unidentified people from about 25 populations around the world were sequenced using next-generation sequencing technologies. Redundant sequencing on various platforms and by different groups of scientists of the same samples can be compared. The results of the study are freely and publicly accessible to researchers worldwide. The consortium identified the following populations whose DNA will be sequenced: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. The goal Project is to find most genetic variants that have frequencies of at least 1% in the populations studied. Sequencing is still too expensive to deeply sequence the many samples being studied for this project. However, any particular region of the genome generally contains a limited number of haplotypes. Data can be combined across many samples to allow efficient detection of most of the variants in a region. The Project currently plans to sequence each sample to about 4X coverage; at this depth sequencing cannot provide the complete genotype of each sample, but should allow the detection of most variants with frequencies as low as 1%. Combining the data from 2500 samples should allow highly accurate estimation (imputation) of the variants and genotypes for each sample that were not seen directly by the light sequencing. All samples from the 1000 genomes are available as lymphoblastoid cell lines (LCLs) and LCL derived DNA from the Coriell Cell Repository as part of the NHGRI Catalog. The sequence and alignment data generated by the 1000genomes project is made available as quickly as possible via their mirrored ftp sites. ftp://ftp.1000genomes.ebi.ac.uk ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes
Proper citation: 1000 Genomes: A Deep Catalog of Human Genetic Variation (RRID:SCR_006828) Copy
http://consortiapedia.fastercures.org/
Project that aims to provide structure and clarity to the research-by-consortium model, presenting both the consortia framework and partnership components in an effort to guide and inform emerging and existing collaborative efforts. Their goal is to ensure that research-by-consortium efforts are at their highest performance and achieving the best possible outcomes. A consortium will thrive if its leadership and governance structure is able to define a mission that's shared by all stakeholders and articulate the desired outcomes of the effort early in the process. For collaborative efforts to move forward, consortia must recognize and leverage the unique strengths and resources that each partner can contribute and bring to fruition. They have found that managing expectations and establishing transparency measures are essential to building trust among all participating stakeholders. Transparency curbs potential conflicts of interest and creates a culture that allows for open sharing of data and a responsible approach to intellectual property negotiations. They found that for collaborations in the medical research and development ecosystem to be effective and sustainable, they must be driven by the ultimate goal of delivering a medical solution that could improve or save lives. Through the project, they are creating several tools for the biomedical research community: * Framework report: This series of reports analyzes a diversity of existing consortia to understand the operational management and framework used to initiate and manage these complex collaborations. * Consortium database * Landscape analysis trends and intended output * Educational webinars and spotlights
Proper citation: Consortia-pedia (RRID:SCR_003705) Copy
Global registry of research data repositories from all academic disciplines that allows the easy identification of appropriate research data repositories, both for data producers and users. Information icons display principal attributes of a repository that can be used for multi-faceted searches. Repository operators can suggest their infrastructures to be listed via a simple application form. A repository is indexed when the minimum requirements are met, i.e. mode of access to the data and repository, as well as the terms of use.
Proper citation: re3data.org (RRID:SCR_006782) Copy
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
