Zavolan M, Kepler T B
Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, New York 10021, USA.
Curr Opin Genet Dev. 2001 Dec;11(6):612-5. doi: 10.1016/s0959-437x(00)00242-2.
Several lines of research are now converging towards an integrated understanding of mutational mechanisms and their evolutionary implications. Experimentally, crystal structures reveal the effect of sequence context on polymerase fidelity; large-scale sequencing projects generate vast amounts of sequence polymorphism data; and locus-specific databases are being constructed. Computationally, software and analytical tools have been developed to analyze mutational data, to identify mutational hot spots, and to compare the signatures of mutagenic agents.
目前,多条研究路线正趋向于对突变机制及其进化意义形成综合理解。在实验方面,晶体结构揭示了序列背景对聚合酶保真度的影响;大规模测序项目产生了大量的序列多态性数据;并且正在构建位点特异性数据库。在计算方面,已经开发了软件和分析工具来分析突变数据、识别突变热点以及比较诱变剂的特征。