Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower

BMC Bioinformatics

Volumn 17, Issue 5, 2016, Pages

  Moschen, Sebastián ^a,b   Higgins, Janet ^c   Di Rienzo, Julio A ^d   Heinz, Ruth A ^a,b   Paniego, Norma ^a,b   Fernandez, Paula ^a,b,e  

^a INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA INTA   (Argentina)

^b Universidad Nacional de Río Cuarto Consejo Nacional de Investigaciones Científicas y Técnicas   (Argentina)

^c NORWICH RESEARCH PARK   (United Kingdom)

^d UNIVERSIDAD NACIONAL DE CÓRDOBA   (Argentina)

^e UNIVERSIDAD NACIONAL DE SAN MARTÍN   (Argentina)

Author keywords

BioSignature Discoverer; Data integration; Leaf senescence; Metabolomic; Sunflower; Transcriptomic; WGCNA

Indexed keywords

BIOMARKERS; BIOMOLECULES; COMPLEX NETWORKS; GENE EXPRESSION REGULATION; METABOLITES; PLANTS (BOTANY); TRANSCRIPTION; TRANSCRIPTION FACTORS;

BIOSIGNATURES; LEAF SENESCENCE; METABOLOMICS; SUNFLOWER; TRANSCRIPTOMIC; WGCNA;

DATA INTEGRATION;

PLANT PROTEIN; TRANSCRIPTION FACTOR;

GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; GENOMICS; METABOLISM; METABOLOMICS; PLANT LEAF; PROCEDURES; SIGNAL TRANSDUCTION; SUNFLOWER; TIME FACTOR;

GENE EXPRESSION REGULATION, PLANT; GENE REGULATORY NETWORKS; GENOMICS; HELIANTHUS; METABOLOMICS; PLANT LEAVES; PLANT PROTEINS; SIGNAL TRANSDUCTION; TIME FACTORS; TRANSCRIPTION FACTORS;

EID: 84973111666     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1045-2     Document Type: Article

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