A computational pipeline for high-throughput discovery of cis-regulatory noncoding RNA in prokaryotes

PLoS Computational Biology

Volumn 3, Issue 7, 2007, Pages 1212-1223

  Yao, Zizhen ^a   Barrick, Jeffrey ^b,d   Weinberg, Zasha ^b   Neph, Shane ^a,c   Breaker, Ronald ^b   Tompa, Martin ^a,c   Ruzzo, Walter L ^a,c  

^a University of Washington   (United States)

^b YALE UNIVERSITY   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; PIPELINES; PROTEINS;

AVERAGE SENSITIVITIES; BASE PAIRS; HIGH-ACCURACY; HIGH-THROUGHPUT; MOTIF MODEL; MULTIPLE SEQUENCE ALIGNMENTS; RNA MOTIFS; SECONDARY STRUCTURE PREDICTION; SENSITIVITY AND SPECIFICITY; SEQUENCE CONSERVATION;

RNA;

RIBOSOME PROTEIN; UNTRANSLATED RNA; BACTERIAL RNA;

ACCURACY; ARTICLE; GENETIC CONSERVATION; HIGH THROUGHPUT SCREENING; PREDICTION; PROKARYOTE; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN FAMILY; PROTEIN FUNCTION; PROTEIN MOTIF; PROTEIN SECONDARY STRUCTURE; RNA STRUCTURE; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; STRUCTURAL HOMOLOGY; STRUCTURE ANALYSIS; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BACTERIAL GENOME; BIOLOGY; CONFORMATION; METHODOLOGY; MOLECULAR GENETICS; NUCLEIC ACID DATABASE; NUCLEOTIDE SEQUENCE; REGULATOR GENE; SEQUENCE HOMOLOGY;

PROKARYOTA;

ARTIFICIAL INTELLIGENCE; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; CONSERVED SEQUENCE; DATABASES, NUCLEIC ACID; GENES, REGULATOR; GENOME, BACTERIAL; MOLECULAR SEQUENCE DATA; NUCLEIC ACID CONFORMATION; PATTERN RECOGNITION, AUTOMATED; RNA, BACTERIAL; RNA, UNTRANSLATED; SEQUENCE HOMOLOGY, NUCLEIC ACID;

EID: 34547558201     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0030126     Document Type: Article

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