Algorithms For Molecular Biology

杂志介绍

Algorithms For Molecular Biology杂志介绍

《Algorithms For Molecular Biology》是一本以English为主的开放获取国际优秀期刊，中文名称分子生物学算法，本刊主要出版、报道生物学-BIOCHEMICAL RESEARCH METHODS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.5，最新CiteScore 指数为2.4。

本刊近期中国学者发表的论文主要有：

• A fast and accurate enumeration-based algorithm for haplotyping a triploid individual

  Author: Jingli Wu, Qian Zhang

• MoDock: A multi-objective strategy improves the accuracy for molecular docking

  Author: Junfeng Gu, Xu Yang, Ling Kang, Jinying Wu, Xicheng Wang

• Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison

  Author: Wei Peng, Jianxin Wang, Fangxiang Wu, Pan Yi

• An effective sequence-alignment-free superpositioning of pairwise or multiple structures with missing data

  Author: Jianbo Lu, Guoliang Xu, Shihua Zhang, Benzhuo Lu

英文介绍

Algorithms For Molecular Biology杂志英文介绍

Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning.

Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms.

Where appropriate, manuscripts should describe applications to real-world data. However, pure algorithm papers are also welcome if future applications to biological data are to be expected, or if they address complexity or approximation issues of novel computational problems in molecular biology. Articles about novel software tools will be considered for publication if they contain some algorithmically interesting aspects.