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      <title>Community curation on WikiPathways: How we assist knowledge collection</title>
      <link>http://dx.doi.org/10.1038/npre.2009.3115.1</link>
      <description>Biologists typically use knowledge represented as pathways to better understand the results of genomics experiments. Through integration of data from different omics techniques with what we already know, statistical evaluation and subsequent data visualization the results often start to make sense. An important problem is that we often do not have the relevant pathways, or they may be incomplete or not suitable for usage by analytical tools. Wikipathways is meant to be an answer to the problems described above. It uses mediawiki technology and dedicated open source java code to allow biologists to edit pathway content on the web. We assist this process through the development of helpful software like a Diff tool, Go and KEGG converters, portal mechanism, webservice and pathway extension through automated suggestions.</description>
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      <pubDate>Tue, 21 Apr 2009 17:07:45 UTC</pubDate>
      <dc:title>Community curation on WikiPathways: How we assist knowledge collection</dc:title>
      <dc:identifier>doi:10.1038/npre.2009.3115.1</dc:identifier>
      <dc:date>2009-04-21</dc:date>
      <dc:creator>Chris Evelo</dc:creator>
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      <prism:section>Genetics &amp; Genomics</prism:section>
      <prism:section>Bioinformatics</prism:section>
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      <title>Biodiversity informatics: the challenge of linking data and the role of shared identifiers</title>
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      <description>A major challenge facing biodiversity informatics is integrating data stored in widely distributed databases. Initial efforts have relied on taxonomic names as the shared identifier linking records in different databases. However, taxonomic names have limitations as identifiers, being neither stable nor globally unique, and the pace of molecular taxonomic and phylogenetic research means that a lot of information in public sequence databases is not linked to formal taxonomic names. This review explores the use of other identifiers, such as specimen codes and GenBank accession numbers, to link otherwise disconnected facts in different databases. The structure of these links can also be exploited using the PageRank algorithm to rank the results of searches on biodiversity databases. The key to rich integration is a commitment to deploy and reuse globally unique, shared identifiers (such as DOIs and LSIDs), and the implementation of services that link those identifiers.</description>
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      <pubDate>Thu, 03 Apr 2008 20:10:36 UTC</pubDate>
      <dc:title>Biodiversity informatics: the challenge of linking data and the role of shared identifiers</dc:title>
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      <dc:date>2008-04-03</dc:date>
      <dc:creator>Roderic Page</dc:creator>
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      <prism:section>Ecology</prism:section>
      <prism:section>Bioinformatics</prism:section>
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