A Novel Computational Method To Analyse Metagenome for Understanding of Microbial Community Composition and Functional Potential

被引：0

作者：

Orakov, Askarbek ^{[1
,2
]}

Sakenova, Nazgul ^{[1
,2
]}

Goraynin, Igor ^{[1
,3
,4
]}

Sorokin, Anatoly ^{[1
,5
,6
]}

机构：

[1] Okinawa Inst Sci & Technol, Biol Syst Unit, Onna, Japan

[2] Nazarbayev Univ, Sch Sci & Technol, Astana, Kazakhstan

[3] Univ Edinburgh, Sch Informat, Edinburgh, Midlothian, Scotland

[4] Tianjin Inst Ind Biotechnol, Biodesign Ctr, Tianjin, Peoples R China

[5] RAS, Inst Cell Biophys, Mech Cell Genome Functioning Lab, Pushchino, Russia

[6] Moscow Inst Phys & Technol, Lab Ion & Mol Phys, Moscow, Russia

来源：

2017 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS) | 2017年

关键词：

metagenomics; biotechnology; microbial fuel cells; functional analysis; microbial community composition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：264 / 265

页数：2

共 3 条

Menzel, Peter ;

Ng, Kim Lee ;

Krogh, Anders .

Schloss, PD ;

Handelsman, J .

Westbrook, Anthony ;

Ramsdell, Jordan ;

Schuelke, Taruna ;

Normington, Louisa ;

Bergeron, R. Daniel ;

Thomas, W. Kelley ;

MacManes, Matthew D. .