HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing

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ID: 104133
2017
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Abstract
Abstract Background Multiple sequence alignment (MSA) plays a key role in biological sequence analyses, especially in phylogenetic tree construction. Extreme increase in next-generation sequencing results in shortage of efficient ultra-large biological sequence alignment approaches for coping with different sequence types. Methods Distributed and parallel computing represents a crucial technique for accelerating ultra-large (e.g. files more than 1 GB) sequence analyses. Based on HAlign and Spark distributed computing system, we implement a highly cost-efficient and time-efficient HAlign-II tool to address ultra-large multiple biological sequence alignment and phylogenetic tree construction. Results The experiments in the DNA and protein large scale data sets, which are more than 1GB files, showed that HAlign II could save time and space. It outperformed the current software tools. HAlign-II can efficiently carry out MSA and construct phylogenetic trees with ultra-large numbers of biological sequences. HAlign-II shows extremely high memory efficiency and scales well with increases in computing resource. Conclusions THAlign-II provides a user-friendly web server based on our distributed computing infrastructure. HAlign-II with open-source codes and datasets was established at http://lab.malab.cn/soft/halign .
Reference Key
wan2017haligniialgorithms Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wan, Shixiang;Zou, Quan;
Journal algorithms for molecular biology
Year 2017
DOI
DOI not found
URL
http://link.springer.com/article/10.1186/s13015-017-0116-x
Keywords
Microbiology Biology (General) Medicine Science general works genetics internal medicine evolution

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