Design of the MCAW compute service for food safety bioinformatics

被引：6

作者：

Edlund, S. B. ^{[1
]}

Beck, K. L. ^{[1
]}

Haiminen, N. ^{[2
]}

Parida, L. P. ^{[2
]}

Storey, D. B. ^{[3
]}

Weimer, B. C. ^{[3
]}

Kaufman, J. H. ^{[1
]}

Chambliss, D. D. ^{[1
]}

机构：

[1] IBM Res, Almaden Res Ctr, San Jose, CA 95125 USA

[2] IBM Res, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA

[3] Univ Calif Davis, Davis Sch Vet Med, Davis, CA 95616 USA

来源：

IBM JOURNAL OF RESEARCH AND DEVELOPMENT | 2016年 / 60卷 / 5-6期

关键词：

ENTERICA SEROVAR TYPHIMURIUM; RNA GENE DATABASE; READ ALIGNMENT; CLASSIFICATION;

D O I：

10.1147/JRD.2016.2584798

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：12

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