Suppr超能文献

通过使用分支定界整数线性规划解决DNA限制酶切图谱中的大型双酶切问题。

Solving large double digestion problems for DNA restriction mapping by using branch-and-bound integer linear programming.

作者信息

Wu Z, Zhang Y

机构信息

Department of Mathematics, Iowa State University, Ames, Iowa 50011, USA.

出版信息

Int J Bioinform Res Appl. 2008;4(4):351-62. doi: 10.1504/IJBRA.2008.021173.

Abstract

The double digestion problem for DNA restriction mapping has been proved to be NP-complete and intractable if the numbers of the DNA fragments become large. Several approaches to the problem have been tested and proved to be effective only for small problems. In this paper, we formulate the problem as a mixed-integer linear program (MIP) by following (Waterman, 1995) in a slightly different form. With this formulation and using state-of-the-art integer programming techniques, we can solve randomly generated problems whose search space sizes are many-magnitude larger than previously reported testing sizes.

摘要

对于DNA限制酶切图谱的双酶切问题,已证明如果DNA片段数量变大,该问题是NP完全问题且难以处理。针对此问题的几种方法已进行测试,结果证明仅对小问题有效。在本文中,我们按照(沃特曼,1995年)以稍有不同的形式将该问题表述为混合整数线性规划(MIP)。通过这种表述并使用最先进的整数规划技术,我们能够解决随机生成的问题,这些问题的搜索空间大小比先前报道的测试规模大许多数量级。

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