Suppr超能文献

基因组序列与巨大期望。

Genome sequences and great expectations.

作者信息

Iliopoulos I, Tsoka S, Andrade M A, Janssen P, Audit B, Tramontano A, Valencia A, Leroy C, Sander C, Ouzounis C A

机构信息

Computational Genomics Group, Research Programme, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge, CB10 1SD, UK.

出版信息

Genome Biol. 2001;2(1):INTERACTIONS0001. doi: 10.1186/gb-2000-2-1-interactions0001. Epub 2000 Dec 29.

Abstract

To assess how automatic function assignment will contribute to genome annotation in the next five years, we have performed an analysis of 31 available genome sequences. An emerging pattern is that function can be predicted for almost two-thirds of the 73,500 genes that were analyzed. Despite progress in computational biology, there will always be a great need for large-scale experimental determination of protein function.

摘要

为评估未来五年自动功能分配将如何促进基因组注释,我们对31个可用基因组序列进行了分析。一个新出现的模式是,在所分析的73500个基因中,近三分之二的基因功能可以被预测。尽管计算生物学取得了进展,但大规模实验确定蛋白质功能的需求将一直存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72f0/150431/eaf6564e93ae/gb-2000-2-1-interactions0001-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验