雜志介紹

Journal Of Computational Biology雜志介紹

《Journal Of Computational Biology》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱計算生物學雜志，本刊主要出版、報道生物學-BIOCHEMICAL RESEARCH METHODS領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術(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)學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為1.4，最新CiteScore 指數(shù)為3.6。

本刊近期中國學者發(fā)表的論文主要有：

• Continuous Glucose Monitoring Time Series Data Analysis: A Time Series Analysis Package for Continuous Glucose Monitoring Data

  Author: Shao, Jian; Liu, Ziqing; Li, Shaoyun; Wu, Benrui; Nie, Zedong; Li, Yuefei; Zhou, Kaixin

• Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix

  Author: Wang, Shijia; Ge, Shufei; Sobkowiak, Benjamin; Wang, Liangliang; Grandjean, Louis; Colijn, Caroline; Elliott, Lloyd. T. T.

• ATAC-DEA: A Web-Based ATAC-Seq Data Differential Peak and Annotation Analysis Application

  Author: Zhang, Shilong; Wang, Sufang

• Positivity Preserving Truncated Euler-Maruyama Scheme for the Stochastic Age-Structured HIV/AIDS Model

  Author: Ren, Jie; Yuan, Huaimin; Zhang, Qimin

英文介紹

Journal Of Computational Biology雜志英文介紹

Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics.

Journal of Computational Biology coverage includes:

-Genomics

-Mathematical modeling and simulation

-Distributed and parallel biological computing

-Designing biological databases

-Pattern matching and pattern detection

-Linking disparate databases and data

-New tools for computational biology

-Relational and object-oriented database technology for bioinformatics

-Biological expert system design and use

-Reasoning by analogy, hypothesis formation, and testing by machine

-Management of biological databases