雜志介紹

Algorithms For Molecular Biology雜志介紹

《Algorithms For Molecular Biology》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱分子生物學(xué)算法，本刊主要出版、報(bào)道生物學(xué)-BIOCHEMICAL RESEARCH METHODS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.5，最新CiteScore 指數(shù)為2.4。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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

英文介紹

Algorithms For Molecular Biology雜志英文介紹

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.