Integrative analysis using proteome and transcriptome data from yeast to unravel regulatory patterns at post-transcriptional level

Biotechnology and Bioengineering

Volumn 107, Issue 5, 2010, Pages 865-875

  Olivares Hernández, Roberto ^a   Usaite, Renata ^b   Nielsen, Jens ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Correlation; Proteome; Saccharomyces cerevisiae; Transcriptome

Indexed keywords

AMINO ACID BIOSYNTHETIC PATHWAYS; CATEGORIZATION METHODS; CORRELATION; DATA SETS; GENE FUNCTION; GOOD CORRELATIONS; INTEGRATIVE ANALYSIS; POSITIVE CORRELATIONS; POST-TRANSCRIPTIONAL; PROTEIN LEVEL; PROTEOMES; REGULATORY PATTERNS; SACCHAROMYCES CEREVISIAE; TRANSCRIPTOME; TRANSCRIPTOMES; TRANSLATIONAL REGULATION; UNTRANSLATED REGIONS;

AMINO ACIDS; GENES; LAWS AND LEGISLATION; PROTEINS; TRANSCRIPTION; YEAST;

CORRELATION METHODS;

MESSENGER RNA; PROTEOME; TRANSCRIPTOME;

3' UNTRANSLATED REGION; ARTICLE; GENE FUNCTION; PROTEIN MOTIF; PROTEIN PROCESSING; SACCHAROMYCES CEREVISIAE; TRANSLATION REGULATION;

GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, FUNGAL; PROTEOME; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

SACCHAROMYCES CEREVISIAE;

EID: 77958561690     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.22868     Document Type: Article

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