多序列比对快速游览

Radha Chintapalli, Amit Kumar, Laxminarayana Parayitam
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引用次数: 2

摘要

序列比对在生物信息学领域具有重要意义。由于多序列比对比序列配对比对携带更多的信息,因此具有更多的应用。在过去的几十年里,人们开发了许多计算多序列比对的算法和工具。然而,MSA的准确性仍然是一个有待进一步研究的开放性问题。随着越来越多的实验数据通过第二代测序技术产生,迫切需要开发工具,利用综合方法从这些庞大的数据中获得生物学上有意义的信息,并利用它来提高MSA的准确性。在不久的将来,可以扩展到全长基因组的MSA工具也将得到广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple sequence alignment a quick tour
Sequence alignment has a lot of significance in the field of bioinformatics. Since multiple sequence alignment (MSA) carries more information than pairwise alignment of the sequences, it has more number of applications. In the past few decades many algorithms and tools have been developed for the computation of multiple sequence alignment. However, accuracy of MSA still remains an open problem for further research. As more and more experimental data is being generated through sequencing technologies of second generation, there is an urgent need to develop tools that make use of integrative methods to derive biologically meaningful information from these immense data and use it to improve the accuracy of MSA. MSA tools that can scale upto the full length genome will also find wide applications in the near future.
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