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                          <header>
                              <identifier>oai:research.chalmers.se:202118</identifier>
                              <datestamp>2018-12-04T16:24:04Z</datestamp>
                              <setSpec>openaire</setSpec>
                          </header>
                          <metadata>
                              <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
                                  <dc:title>BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data</dc:title>
                                  <dc:identifier>https://research.chalmers.se/en/publication/202118</dc:identifier>
                                  <dc:date>2014</dc:date>
                                              <dc:creator>Garcia, Manuel</dc:creator>
                                              <dc:creator>Thankaswamy, Subazini</dc:creator>
                                              <dc:creator>Nilsson, Avlant</dc:creator>
                                              <dc:creator>Wigge, Leif</dc:creator>
                                              <dc:creator>Nookaew, Intawat</dc:creator>
                                              <dc:creator>Nielsen, Jens B</dc:creator>
                                                  <dc:subject>Biological Systematics</dc:subject>
                                          <dc:description>Analysis of large data sets using computational and mathematical tools have become a central part of biological sciences. Large amounts of data are being generated each year from different biological research fields leading to a constant development of software and algorithms aimed to deal with the increasing creation of information. The BioMet Toolbox 2.0 integrates a number of functionalities in a user-friendly environment enabling the user to work with biological data in a web interface. The unique and distinguishing feature of the BioMet Toolbox 2.0 is to provide a web user interface to tools for metabolic pathways and omics analysis developed under different platform-dependent environments enabling easy access to these computational tools.</dc:description>
                                                                  <dc:relation>info:eu-repo/grantAgreement/EC/FP7/247013//Industrial Systems Biology of Yeast and A. oryzae (INSYSBIO)/</dc:relation>
                                                  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1093/nar/gku371</dc:relation>
                                          <dc:type>info:eu-repo/semantics/article</dc:type>
                                          <dc:source>Nucleic Acids Research (0305-1048) vol.42(2014)</dc:source>
                                                      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:language>eng</dc:language>
                                  <dc:audience>Researchers</dc:audience>
                                  <dc:format>application/pdf</dc:format>
                              </oai_dc:dc>
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