Group items tagged

An international research consortium has been formed to create the most detailed and medically useful picture to date of human genetic variation. The 1000 Genomes Project will involve sequencing the genomes of at least a thousand people from around the world. The project will receive major support from the Wellcome Trust Sanger Institute in Hinxton, England, the Beijing Genomics Institute Shenzhen in China and the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health (NIH).

We believe individuals from the general public have a vital role to play in making personal genomes useful. We are recruiting volunteers who are willing to share their genome sequence and many types of personal information with the research community and the general public, so that together we will be better able to advance our understanding of genetic and environmental contributions to human traits and to improve our ability to diagnose, treat, and prevent illness. Learn more about how to participate in the Personal Genome Project.

Ensembl is a joint project between EMBL - EBI and the Sanger Institute to develop a software system which produces and maintains automatic annotation on selected eukaryotic genomes. Ensembl is primarily funded by the Wellcome Trust. This site provides free access to all the data and software from the Ensembl project. Click on a species name to browse the data.

A Resource for Comparative Grass Genomics

The FlyWeb Project is implementing a proof-of-concept data web to integrate research image data from the FlyTED Project with related data from the Berkeley Drosophila Genome Project, FlyBase, FlyAtlas and other sources.

"FINDINGSCollective intelligence has already been proven to work, and CI systems can be designed and managed to fit specific needs.CI building blocks, or "genes," can be recombined to create the right kind of system.Four main questions drive CI "genome" design: What is being done? Who is doing it? Why? How?"

The Distributed Annotation System (DAS) defines a communication protocol used to exchange biological annotations. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities.

WikiGenes is the first wiki system to combine the collaborative and largely altruistic possibilities of wikis with explicit authorship. In view of the extraordinary success of Wikipedia there remains no doubt about the potential of collaborative publishing, yet its adoption in science has been limited. Here I discuss a dynamic collaborative knowledge base for the life sciences that provides authors with due credit and that can evolve via continual revision and traditional peer review into a rigorous scientific tool.

The exponential growth of diverse types of biological data presents the research community with an unprecedented challenge and opportunity. The challenge is to stay afloat in the flood of biological data, keeping it as accessible, up-to-date, and integrated as possible. The opportunity is to cultivate new models of data curation and exchange that take advantage of direct participation by a greater portion of the community.

Giving unique and meaningful names to every human gene

biocurator.org is intended to give a stable web address for information and meetings relating to curation of biological data.

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org

Semantic web atlas of postgenomic knowledge about human and mouse

FlyTED, the Drosophila Testis Gene Expression Database, is a public database currently containing 1,947 mRNA in situ images and ancillary data revealing the extent of expression of 623 individual genes involved in spermatogenesis in the testis of the fruitfly, Drosophila melanogaster, both in normal wild type flies and in seven meiotic arrest mutant strains.

The International HapMap Project is a partnership of scientists and funding agencies from Canada, China, Japan, Nigeria, the United Kingdom and the United States to develop a public resource that will help researchers find genes associated with human disease and response to pharmaceuticals.

See also http://www.cs.utexas.edu/~tandy/ SATe bio tree software and data