Design of the MCAW compute service for food safety bioinformatics

S. B. Edlund, K. L. Beck, N. Haiminen, L. P. Parida, D. B. Storey, Bart C Weimer, J. H. Kaufman, D. D. Chambliss

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The techniques of microbe community genome sequencing as applied to environmental samples - metagenomics - offer powerful insight into microbial community structure and ecology that can affect food safety decisions for public health security. In this paper, the design and characteristics of a new informatics service, the Metagenomics Computation and Analytics Workbench (MCAW), are presented and illustrated with reference to the analysis of metagenomics data. The service is designed to meet the requirements for analyzing metagenomic and metatranscriptomic sequence data to assess microbial hazards and food authentication in the supply chain. Moreover, MCAW provides for reliable storage and management of raw genomic sequences and analysis results, high-volume informatics processing, meticulous tracking of data provenance and processing steps, and function-rich visualization of results.

Original languageEnglish (US)
Article number7580716
JournalIBM Journal of Research and Development
Issue number5-6
StatePublished - Sep 1 2016

ASJC Scopus subject areas

  • Computer Science(all)


Dive into the research topics of 'Design of the MCAW compute service for food safety bioinformatics'. Together they form a unique fingerprint.

Cite this