YMDB 2.0: a significantly expanded version of the yeast metabolome database. Issue Volume 45:Issue D1(2017) (24th November 2016)

• Record Type: Journal Article
• Authors: Ramirez-Gaona, Miguel; Marcu, Ana; Pon, Allison; Guo, An Chi; Sajed, Tanvir; Wishart, Noah A.; Karu, Naama; Djoumbou Feunang, Yannick; Arndt, David; Wishart, David S.
• Is Part Of: Nucleic acids research. Volume 45:Issue D1(2017)
• Page Start: D440
• Page End: D445
• Publication Date: 2016-11-24
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkw1058
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: YMDB or the Yeast Metabolome Database (http://www.ymdb.ca/ ) is a comprehensive database containing extensive information on the genome and metabolome of Saccharomyces cerevisiae . Initially released in 2012, the YMDB has gone through a significant expansion and a number of improvements over the past 4 years. This manuscript describes the most recent version of YMDB (YMDB 2.0). More specifically, it provides an updated description of the database that was previously described in the 2012 NAR Database Issue and it details many of the additions and improvements made to the YMDB over that time. Some of the most important changes include a 7-fold increase in the number of compounds in the database (from 2007 to 16 042), a 430-fold increase in the number of metabolic and signaling pathway diagrams (from 66 to 28 734), a 16-fold increase in the number of compounds linked to pathways (from 742 to 12 733), a 17-fold increase in the numbers of compounds with nuclear magnetic resonance or MS spectra (from 783 to 13 173) and an increase in both the number of data fields and the number of links to external databases. In addition to these database expansions, a number of improvements to YMDB's web interface and its data visualization tools have been made. These additions and improvements should greatly improve the ease, the speed and the quantity of data that can be extracted, searched or viewed within YMDB. Overall, we believe these improvements should not only improve the understanding of the metabolism of S. cerevisiae, but also allow more in-depth exploration of its extensive metabolic networks, signaling pathways and biochemistry.