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王俊

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期刊论文

Vertebrate gene predictions and the problem of large genes

王俊Jun Wang ShengTing Li Yong Zhang HongKun Zheng Zhao Xu Jia Ye Jun Yu and Gane Ka-Shu Wong

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摘要/描述

To find unknown protein-coding genes, annotation pipelines use a combination of ab initio gene prediction and similarity to experimentally confirmed genes or proteins. Here, we show that although the ab initio predictions have an intrinsically high false-positive rate, they also have a consistently low false-negative rate. The incorporation of similarity information is meant to reduce the false-positive rate, but in doing so it increases the false-negative rate. The crucial variable is gene size (including introns)-genes of the most extreme sizes, especially very large genes, are most likely to be incorrectly predicted.

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【免责声明】以下全部内容由[王俊]上传于[2005年04月27日 22时24分05秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。

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