The M5nr: A Novel Non-Redundant Database Containing Protein Sequences and Annotations from Multiple Sources and Associated Tools

TitleThe M5nr: A Novel Non-Redundant Database Containing Protein Sequences and Annotations from Multiple Sources and Associated Tools
Publication TypeJournal Article
Year of Publication2012
AuthorsWilke, A, Harrison, T, Wilkening, J, Field, D, Glass, EM, Kyrpides, N, Mavrommatis, K, Meyer, F
JournalBMC Bioinformatics
Volume13
Start Page141
Issue1
Date Published01/2012
Other NumbersANL/MCS-P2044-0212
Abstract

Background: Computing of sequence similarity results is becoming a limiting factor in metagenome analysis. Sequence similarity search results encoded in an open, exchangeable format have the potential to limit the needs for computational reanalysis of these data sets. A prerequisite for sharing of similarity results is a common reference. Results: We introduce a mechanism for automatically maintaining a comprehensive, non-redundant protein database and for creating a quarterly release of this resource. In addition, we present tools for translating similarity searches into many annotation names paces, e.g. KEGG or NCBI\'s GenBank. Conclusions: The data and tools we present allow the creation of multiple result sets using a single computation, permitting computational results to be shared between groups for large sequence data sets.

PDFhttp://www.mcs.anl.gov/papers/P2044-0212.pdf