A novel bioinformatics strategy to analyze microbial big sequence data for efficient knowledge discovery: Batch-learning self-organizing map (blsom)

Microorganisms

Volumn 1, Issue 1, 2013, Pages 137-157

  Iwasaki, Yuki ^a,b   Abe, Takashi ^a,c   Wada, Kennosuke ^a   Wada, Yoshiko ^a,d   Ikemura, Toshimichi ^a  

^a NAGAHAMA INSTITUTE OF BIO SCIENCE AND TECHNOLOGY   (Japan)

^b JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE   (Japan)

^c NIIGATA UNIVERSITY   (Japan)

^d SHIGA UNIVERSITY OF MEDICAL SCIENCE   (Japan)

Author keywords

Big data; Bioinformatics; Genome signature; Influenza virus; Metagenome; Microbial community; Oligonucleotide composition; Peptide composition; SOM

Indexed keywords

EID: 84905640645     PISSN: None     EISSN: 20762607     Source Type: Journal    
DOI: 10.3390/microorganisms1010137     Document Type: Review

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