title: Integrating functional genomics data.
abstract: Functional annotation of fully sequenced genomes is still a major issue. High-throughput data sets could be used to provide more and better functional annotations. However differences in data quality need to be taken into account. For this purpose these high-throughput data sets need to be integrated so that the data quality can be assessed, hypotheses can be prioritized and existing annotations can be improved and extended.
authors.affiliation: Genomics Lab, Division of Biomedical Genetics, UMC Utrecht, PO Box 85060, 3508 AB Utrecht, The Netherlands.
authors.forename: P
authors.initials: P
authors.lastname: Kemmeren
authors.forename: F C P
authors.initials: FC
authors.lastname: Holstege
mesh_terms: D019295:Computational Biology; D023281:Genomics; D011506:Proteins / Q000235:genetics / Q000378:metabolism; D012333:RNA, Messenger / Q000235:genetics
chemical_list: D011506:Proteins; D012333:RNA, Messenger