Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Thøgersen, Juliane C ^a   Mørup, Morten ^a   Damkiær, Søren ^a   Molin, Søren ^a   Jelsbak, Lars ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Archetypal analysis; Cystic fibrosis; Gene expression; Hypermutators; Pseudomonas aeruginosa

Indexed keywords

ARCHETYPAL ANALYSIS; CYSTIC FIBROSIS; DNA MICROARRAY ANALYSIS; GENE EXPRESSION PATTERNS; HYPERMUTATORS; INTERPRETATION OF DATA; MATRIX FACTORIZATIONS; PSEUDOMONAS AERUGINOSA;

BACTERIA; BIOASSAY; BIOCHIPS; BIOLOGICAL ORGANS; MOLECULAR BIOLOGY; PATTERN RECOGNITION;

GENE EXPRESSION;

BACTERIA (MICROORGANISMS); PSEUDOMONAS AERUGINOSA;

TRANSCRIPTOME;

ADAPTATION; ARTICLE; AUTOMATED PATTERN RECOGNITION; CHILD; CLUSTER ANALYSIS; CYSTIC FIBROSIS; DNA MICROARRAY; GENETICS; HUMAN; INFANT; ISOLATION AND PURIFICATION; MALE; MICROBIOLOGY; MUTATION; PRESCHOOL CHILD; PSEUDOMONAS AERUGINOSA; PSEUDOMONAS INFECTION;

ADAPTATION, BIOLOGICAL; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; CYSTIC FIBROSIS; HUMANS; INFANT; MALE; MUTATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PSEUDOMONAS AERUGINOSA; PSEUDOMONAS INFECTIONS; TRANSCRIPTOME;

EID: 84884372193     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-279     Document Type: Article

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