Characterization of multiple sequence alignment errors using complete-likelihood score and position-shift map
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- 作者：Kiyoshi Ezawa
- 关键词：Multiple sequence alignment (MSA) ; Error ; Visualization ; Likelihood ; Stochastic evolutionary model ; Insertion/deletion (indel) ; Power ; law ; Probability distribution ; MSA space exploration
- 刊名：BMC Bioinformatics
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：17
- 期：1
- 全文大小：2,397 KB
- 刊物主题：Bioinformatics; Microarrays; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Combinatorial Libraries; Algorithms;
- 出版者：BioMed Central
- ISSN：1471-2105
文摘
Background Reconstruction of multiple sequence alignments (MSAs) is a crucial step in most homology-based sequence analyses, which constitute an integral part of computational biology. To improve the accuracy of this crucial step, it is essential to better characterize errors that state-of-the-art aligners typically make. For this purpose, we here introduce two tools: the complete-likelihood score and the position-shift map.