Group items tagged

The Open Bioinformatics Foundation or O|B|F is a non profit, volunteer run organization focused on supporting open source programming in bioinformatics. The foundation grew out of the volunteer projects BioPerl, BioJava and BioPython and was formally incorporated in order to handle our modest requirements of hardware ownership, domain name management and funding for conferences and workshops.The Foundation does not participate directly in the development or structure of the open source work, but as the members of the foundation are drawn from the member projects, there is clear commonality of direction and purpose. Occasionally the O|B|F directors may make announcements about our direction or purpose (a recent one was on the licensing of academic software) when the board feels there is a need to clarify matters, but in general we prefer to remain simply the administrative support organization for our member projects. Our main activities are: * Underwriting and supporting the BOSC conferences * Organizing and supporting developer-centric "hackathon" events * Managing our servers, colocation facilities, bank account & other assets We are incorporated in the state of Delaware, USA as a not-for-profit company.

Sixty years of study have made Escherichia coli K-12 the most deeply understood organism at the molecular level. Much of what we know about cellular processes can be traced to fundamental discoveries in E. coli. In spite of its great importance as a model organism, information about E. coli is distributed among many online resources. EcoliHub uses web services that are being developed to make seamless bidirectional connections between E. coli resources, thereby enabling the full use of existing knowledge and supporting cutting-edge research into the molecular basis of life. Read More EcoliHub is being developed to serve the user community. Users can help teach us what is desirable in future releases by taking our User Survey.

To establish a method of measuring the solubility of some compounds in organic solvents. For a justification of this project see here.

Launched in October 2008, "On-call" Scientists connects scientists interested in volunteering their skills and knowledge with human rights organizations that are in need of scientific expertise.

The AAAS Science and Human Rights Coalition is a network of scientific organizations that recognizes a role for science and scientists in efforts to realize human rights. Composed of scientific associations, societies and academies, as well as individual scientists, the Coalition aims to facilitate communication and partnerships on human rights within and across scientific communities, and between these and human rights communities. The Coalition's programs are being carried out by the following five working groups: 1. Welfare of Scientists 2. Science Ethics and Human Rights 3. Service to the Scientific Community 4. Service to the Human Rights Community 5. Education and Information Resources The Coalition is also pursuing a joint initiative to realize the human right to "the benefits of scientific progress" (Article 15, International Covenant on Economic, Social and Cultural Rights).

The genome-wide association study (GWAS) publications listed here include only those attempting to assay at least 100,000 single nucleotide polymorphisms (SNPs) in the initial stage. Publications are organized from most to least recent date of publication, indexing from online publication if available. Studies focusing only on candidate genes are excluded from this catalog. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). SNP-trait associations listed here are limited to those with p-values < 1.0 x 10-5. Note that we are now including all identified SNP-trait associations meeting this p-value threshhold. Multipliers of powers of 10 in p-values are rounded to the nearest single digit; odds ratios and allele frequencies are rounded to two decimals. Standard errors are converted to 95 percent confidence intervals where applicable. Allele frequencies, p-values, and odds ratios derived from the largest sample size, typically a combined analysis (initial plus replication studies), are recorded below if reported; otherwise statistics from the initial study sample are recorded. Odds ratios < 1 in the original paper are converted to OR > 1 for the alternate allele. Where results from multiple genetic models are available, we prioritized effect sizes (OR's or beta-coefficients) as follows: 1) genotypic model, per-allele estimate; 2) genotypic model, heterozygote estimate, 3) allelic model, allelic estimate. Gene regions corresponding to SNPs were identified from the UCSC Genome Browser. Gene names are those reported by the authors in the original paper. Only one SNP within a gene or region of high linkage disequilibrium is recorded unless there was evidence of independent association.

GenBioWiki is the student home page for the Genetics, Bioinformatics, and Computational Biology (GBCB) program at Virginia Tech. Bioinformatics and computational biology provide a research platform to acquire, manage, analyze, and display large amounts of data, which in turn catalyze a systems approach to understanding biological organisms, as well as making useful predictions about their behavior in response to environmental and other perturbations. Moreover, bioinformatics is the study of biological systems and large biological data sets using analytical methods borrowed from computer science, mathematics, statistics, and the physical sciences. This transdisciplinary approach to research requires graduates with extensive cross-cultural professional and technical training and provides ample employment opportunities for Ph.D. graduates. [1]

SWAN (Semantic Web Applications in Neuromedicine) is a Web-based collaborative program that aims to organize and annotate scientific knowledge about Alzheimer disease (AD) and other neurodegenerative disorders. Its goal is to facilitate the formation, development and testing of hypotheses about the disease. The ultimate goal of this project is to create tools and resources to manage the evolving universe of data and information about AD in such a way that researchers can easily comprehend their larger context ("what hypothesis does this support or contradict?"), compare and contrast hypotheses ("where do these two hypotheses agree and disagree?"), identify unanswered questions and synthesize concepts and data into ever more comprehensive and useful hypotheses and treatment targets for this disease. The SWAN project is designed to allow the community of AD researchers to author, curate and connect a diversity of data and ideas about AD via secure personal and public SWAN workspaces, using the emerging Semantic Web paradigm for deep interconnection of data, information and knowledge. We are initially focusing on developing a fully public Web resource deployed as part of the Alzheimer Research Forum web site (www.alzforum.org). After the public resource has been launched, we will also develop secure personal workspaces (MySWAN) and semi-private lab workspaces (LabSWAN). An essential component of this project is development of an initial, core knowledge base within SWAN, which will provide immediate value to researchers at the time of deployment. This is a critically important part of our strategy to ensure that the SWAN system gains wide adoption and active participation by the AD research community. As part of our development strategy, we are also recruiting a "beta test" community of AD researchers to enter their own hypotheses, add commentaries and citations, and provide feedback on the technology and content. SWAN is being developed by a collaborative team from

ACADEMIC JOURNALS provides free access to research information to the international community without financial, legal or technical barriers. All the journals from this organization will be freely distributed and available from multiple websites.....ACADEMIC JOURNALS, breaking new frontiers in the world of journals.