Bork P, Koonin E V
EMBL, Heidelberg, Germany.
Nat Genet. 1998 Apr;18(4):313-8. doi: 10.1038/ng0498-313.
The exponential growth of sequence data does not necessarily lead to an increase in knowledge about the functions of genes and their products. Prediction of function using comparative sequence analysis is extremely powerful but, if not performed appropriately, may also lead to the creation and propagation of assignment errors. While current homology detection methods can cope with the data flow, the identification, verification and annotation of functional features need to be drastically improved.
序列数据的指数增长并不一定会带来关于基因及其产物功能的知识增加。使用比较序列分析预测功能极为强大,但如果操作不当,也可能导致错误注释的产生和传播。虽然当前的同源性检测方法能够应对数据流,但功能特征的识别、验证和注释仍需大幅改进。