异质序列数据中的基序发现。

Motif discovery in heterogeneous sequence data.

作者信息

Prakash A, Blanchette M, Sinha S, Tompa M

机构信息

Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195-2350, USA.

出版信息

Pac Symp Biocomput. 2004:348-59. doi: 10.1142/9789812704856_0033.

DOI:10.1142/9789812704856_0033

PMID:14992516

Abstract

This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome together with the orthologs of these genes from other genomes. Results are presented for regulons in yeasts, worms, and mammals.

摘要

本文介绍了首个旨在从异质序列数据中发现新基序的综合算法，该数据由来自单个基因组的共调控基因以及来自其他基因组的这些基因的直系同源基因组成。文中给出了酵母、蠕虫和哺乳动物中调控子的研究结果。