Bioinformatics as a critical prerequisite to transcriptome and proteome studies.
Large-scale genomic studies rely strongly on annotations available in databases to design experimental supports such as arrays or to explain results in term of biological meaning. Most of this information originates from bioinformatic predictions. Their accuracy as well as their relevance to existing biological data are critical in avoiding the misinterpretation of experimental results.
Jamet
Elisabeth
E
Surfaces Cellulaires et Signalisation chez les Végétaux, UMR CNRS-UPS 5546, 24, chemin de Borderouge, BP 17 Auzeville, F-31326 Castanet Tolosan, France. jamet@scsv.ups-tlse.fr
D019295:Computational Biology / Q000379:methods*; D018745:Genome, Plant; D010940:Plant Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D020543:Proteome / Q000235:genetics*; D014158:Transcription, Genetic
D010940:Plant Proteins; D020543:Proteome