mcmb '05算法部分概述

G. Kucherov, A. Mironov, M. Roytberg
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引用次数: 0

摘要

基因组分析。这是一个最经典的生物信息学课题,包括基因组序列的局部和全局比对问题以及相关问题。Grigory Kucherov(法国LORIA)做了一个关于计算种子(用于发现潜在局部相似性的小图案)敏感性的一般方法的演讲,更具体地说是“子集种子”,一个新的种子概念。Inna Dubchak(美国劳伦斯伯克利国家实验室)介绍了VISTA系统,这是一个软件系统,具有几个有用的基因组比对和分析程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of the Algorithmic Session of MCCMB'05
Genome analysis. This is a most classical bioinformatics topic that includes problems of local and global alignment of genomic sequences and related issues. Grigory Kucherov (LORIA, France) gave a talk on a general method for computing the sensitivity of seeds (small patterns used to spot potential local similarities), and more specifically “subset seeds”, a new concept of seeds. Inna Dubchak (Lawrence Berkeley National Lab, USA) described the VISTA system which is a software system that features several useful programs of genome alignment and analysis.
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