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If required, entire databases can be downloaded from our FTP site in a variety of formats, from flat files to MySQL dumps. Please be aware that these files can run to many gigabytes of data. To facilitate storage and download all databases are GNU Zip (gzip, *.gz) compressed. Please note: Ensembl supports downloading of many correlation tables via the highly customisable BioMart data mining tool. You may find exploring this web-based data mining tool easier than extracting information from our database dumps.

The establishment of open access literature makes it possible for knowledge to be extracted from scholarly articles and included in other resources. BioLit aims to extract database identifiers and rich meta-data from open access articles in the life sciences and integrate that information with existing biological databases. We have begun prototyping this effort using a clone of the RCSB Protein Data Bank, a database of macromolecular structures.

Processing (BETA) library to communicate with MySQL (or any other SQL) databases. note that due to java security restrictions this will not work with applets "out of the box" and that many remote mysql-servers will only allow local access ("localhost") or connections from trusted hosts. (see notes. ) also note that you should have some experience with SQL to put, change and retrieve data from the database.

Not a few biologists tend to consider wiki as a solution to manage and reorganize data by a community. However, in its basic functionality, wiki lacks a measure to check data consistency and is not suitable for a database. To circumvent this pitfall, installation of page dependency through in-line page searches is necessary. We also introduce two existing approaches that support in-line queries.

For large amounts of data and more detailed analysis, we recommend you use our publicly-accessible MySQL server, ensembldb.ensembl.org, which you can access as user 'anonymous'. A second server, martdb.ensembl.org provides public access to the BioMart databases.

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.

The advent of the World Wide Web has led to an explosion in the number of diverse resources available to neuroscientists. Despite the availability of powerful search engines, locating these diverse resources has become increasingly difficult and time consuming. The NIF project utilizes both advanced machine-based search technologies and old-fashioned human legwork to provide access to neuroscience-relevant resources on the Web. Resources include research materials, Web pages, software tools, data sets, literature and general information. The NIF has developed technologies that allow a user to search across these different types of resources, all from a single interface. A unique feature of the NIF is the ability to issue direct queries against multiple databases simultaneously, retrieving content that is largely hidden from traditional search engines. A second unique feature is an extensive vocabulary covering major neuroscience domains for describing and searching these resources. The NIF takes advantage of advances in knowledge engineering to broaden and refine searches based on related concepts. The NIF beta test site was developed to gain feedback on the NIF search interface and content. Users will be asked to search the NIF, explore the vocabularies, and answer a questionnaire about their experience.

We are focused on providing tools to our users to ensure that they can add information of interest to structure-based records in ChemSpider. We have introduced DOI-based associations recently allowing users to connect publications of interest to chemical compounds on our database. The process is simple. Find the structure record of interest, use the Add DOI function and Publish. The process is outlined graphically below.

his meeting was about "Making the Web Work for Science and the Impact of e-Science and the Cyberinfrastructure." I provided an overview of how access to information has changed over the past 20 years for me. I talked about the challenges for publishers serving the chemistry community and how their business models are being challenged and how I empathize with the struggle to figure out how to deal with it. I talked about quality and how care must be taken when using information online. We are ALL challenged with errors - whether you consider PubChem, ChemSpider, Wikipedia or any of the other online databases they all have errors - how do you find them? Some of them are obvious and I pointed to obvious examples in the talk. I hoped to educate the attendees in regards to the value of InChI which, while not a perfect fit yet, is a great start to structure-based communication of chemistry. I publicly blessed the efforts of publishers such as the RSC and Nature Publishing group for the efforts they are making to support InChI and improve the quality of document presentation online. I blessed CAS as a treasure trove of information and the gold standard of curated chemistry. We need them all to be successful for the sake of our science. The challenge is how to fit into the ongoing proliferation of free access to information without modifying the business models.

ChemSpider is a free access service providing a structure centric community for chemists. Providing access to millions of chemical structures and integration to a multitude of other online services ChemSpider is the richest single source of structure-based chemistry information.