Metabolite signal identification in accurate mass metabolomics data with MZedDB, an interactive m/z annotation tool utilising predicted ionisation behaviour ‘rules’. / Draper, John; Enot, David; Parker, David ; Beckmann, Manfred; Snowden, Stuart; Lin, Wanchang; Zubair, Hassan.

In: BMC Bioinformatics, Vol. 10, 227, 2009.

Research output: Contribution to journalArticlepeer-review

Published
  • John Draper
  • David Enot
  • David Parker
  • Manfred Beckmann
  • Stuart Snowden
  • Wanchang Lin
  • Hassan Zubair
Original languageEnglish
Article number227
JournalBMC Bioinformatics
Volume10
Publication statusPublished - 2009

ID: 41592456