Predicting the optimal growth temperatures of prokaryotes using only genome derived features

Bioinformatics

Volumn 35, Issue 18, 2019, Pages 3224-3231

  Sauer, David B ^a   Wang, Da Neng ^a  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; CALCULATION; CLADISTICS; ECOLOGY; NONHUMAN; PREDICTION; PROKARYOTE; PSYCHROPHILE; DNA SEQUENCE; GENOMICS; HIGH THROUGHPUT SEQUENCING; SOFTWARE; TEMPERATURE;

GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; SEQUENCE ANALYSIS, DNA; SOFTWARE; TEMPERATURE;

EID: 85067668950     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btz059     Document Type: Article

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