semantic mediawiki for testing and development

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.

This article examines the relationship between Open Access to the scholarly literature and innovation. It traces the ideas of "end to end" network principles in the Internet and the World Wide Web and applies them to the scholarly biomedical literature. And the article argues for the importance of relieving not just price barriers but permission barriers.

Why bother about openness and licensing for data? After all they don't matter in themselves: what we really care about are things like the progress of human knowledge or the freedom to understand and share.

This semantic wiki at OpenResearch.org aims at making the world of science more visible and accessible. Everybody can add his favorite events (e.g. conferences and workshops), co-workers, tools / datasets, community fora or journals. Pooled together these pieces of information constitute a vast knowledge base about who and what moves science forward.

A fully developed set of DNA sequence assembly (Gap4), editing and analysis tools (Spin) for Unix, Linux, MacOSX and MS Windows.

Welcome to the Gene Wiki portal. This portal is dedicated to the goal of applying community intelligence to the annotation of gene and protein function. The Gene Wiki is an informal collection of pages on human genes and proteins, and this effort to develop these pages is tightly coordinated with the Molecular and Cellular Biology Wikiproject. Our specific aims are summarized as follows: * To provide a well written and informative Wikipedia article for every notable human gene * To invite participation by interested lay editors, students, professionals, and academics from around the world * To integrate Gene Wiki articles with existing Wikipedia content through the use of internal wiki links increasing the value of both Please browse around the Gene Wiki, make an edit to your favorite gene page, and feel free to ask questions!

Welcome to the NIH WikiProject, a collaboration area and group of editors dedicated to improving Wikipedia's coverage of National Institutes of Health. This is a new WikiProject, so please join!! (For more information on WikiProjects, please see Wikipedia:WikiProject and the Guide to WikiProjects). Goals * Improve Wikipedia's current coverage of the NIH and deepen the coverage with more pages. Scope * Cover all of the Institutes all the way down to individual laboratories/units.

search for #opensciinfo hashtag used in twitter "room"

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.

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.