Claverie J M, Abergel C, Audic S, Ogata H
Structural and Genetic Information Laboratory,UMR 1889 CNRS-AVENTIS, 31 Chemin Joseph Aiguier, 13402 Marseille Cedex 20, France.
Pharmacogenomics. 2001 Nov;2(4):361-72. doi: 10.1517/14622416.2.4.361.
In the post-genomic era, the new discipline of functional genomics is now facing the challenge of associating a function (as well as estimating its relevance to industrial applications) to about 100,000 microbial, plant or animal genes of known sequence but unknown function. Besides the design of databases, computational methods are increasingly becoming intimately linked with the various experimental approaches. Consequently, bioinformatics is rapidly evolving into independent fields addressing the specific problems of interpreting i) genomic sequences, ii) protein sequences and 3D-structures, as well as iii) transcriptome and macromolecular interaction data. It is thus increasingly difficult for the biologist to choose the computational approaches that perform best in these various areas. This paper attempts to review the most useful developments of the last 2 years.
在后基因组时代，功能基因组学这一新学科正面临着一项挑战，即要将功能（以及评估其与工业应用的相关性）与大约10万个已知序列但功能未知的微生物、植物或动物基因联系起来。除了数据库的设计，计算方法与各种实验方法的联系也越来越紧密。因此，生物信息学正在迅速发展成为独立的领域，以解决解释以下方面的具体问题：i）基因组序列，ii）蛋白质序列和三维结构，以及iii）转录组和大分子相互作用数据。因此，生物学家越来越难以选择在这些不同领域中表现最佳的计算方法。本文试图回顾过去两年中最有用的进展。
