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Journal of Computational Biology
中科院4区 JCR:Q4 JCR:Q2 SCIE CA PubMed
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
- 主办单位： MARY ANN LIEBERT, INC
- 出版地区： NEW ROCHELLE
- 出版周期： 月刊
- 别名： J COMPUT BIOL;J. Comput. Biol.;JOURNAL OF COMPUTATIONAL BIOLOGY;计算生物学杂志
- 国际标准连续出版物号/电子版： ISSN 1066-5277 / EISSN 1557-8666
- 创刊时间： 1994年
期刊信息
- 主办单位：MARY ANN LIEBERT, INC
- 主 编：Mona Singh
- 地 址： NEW ROCHELLE
- 电子邮件： jcb@liebertpub.com(editorial office)
期刊简介
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