Integrating functional genomics data

被引:0
|
作者
Kemmeren, P [1 ]
Holstege, FCP [1 ]
机构
[1] UMC Utrecht, Genom Lab, Div Biomed Genet, NL-3508 AB Utrecht, Netherlands
关键词
annotation; data quality; genome-wide; high-throughput; integration; prediction;
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1484 / 1487
页数:4
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