当前位置:
X-MOL 学术
›
J. Comput. Biol.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
MAMMLE: A Framework for Phylogeny Estimation Based on Multiobjective Application-aware Multiple Sequence Alignment and Maximum Likelihood Ensemble
Journal of Computational Biology ( IF 1.4 ) Pub Date : 2023-01-27 , DOI: 10.1089/cmb.2021.0533 Muhammad Ali Nayeem 1 , Naser Anjum Samudro 1 , M Saifur Rahman 1 , M Sohel Rahman 1
Journal of Computational Biology ( IF 1.4 ) Pub Date : 2023-01-27 , DOI: 10.1089/cmb.2021.0533 Muhammad Ali Nayeem 1 , Naser Anjum Samudro 1 , M Saifur Rahman 1 , M Sohel Rahman 1
Affiliation
Motivation: Phylogenetic trees are often inferred from a multiple sequence alignment (MSA) where the tree accuracy is heavily impacted by the nature of estimated alignment. Carefully equipping an MSA tool with multiple application-aware objectives positively impacts its capability to yield better trees.
中文翻译:
MAMMLE:基于多目标应用感知多序列比对和最大似然集成的系统发育估计框架
动机:系统发育树通常是从多序列比对 (MSA) 中推断出来的,其中树的准确性受到估计比对的性质的严重影响。仔细地为 MSA 工具配备多个应用程序感知目标对其产生更好树的能力产生积极影响。
更新日期:2023-01-28
中文翻译:
MAMMLE:基于多目标应用感知多序列比对和最大似然集成的系统发育估计框架
动机:系统发育树通常是从多序列比对 (MSA) 中推断出来的,其中树的准确性受到估计比对的性质的严重影响。仔细地为 MSA 工具配备多个应用程序感知目标对其产生更好树的能力产生积极影响。