Statistical Applications in Genetics and Molecular Biology

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Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.

Journal Title

Statistical Applications in Genetics and Molecular Biology

STAT APPL GENET MOL

ISSN / eISSN

1544-6115 / 2194-6302

Aims and Scope

Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.

Subject Area

BIOCHEMISTRY & MOLECULAR BIOLOGY

MATHEMATICAL & COMPUTATIONAL BIOLOGY

STATISTICS & PROBABILITY

CiteScore

1.40

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CiteScore Ranking

Category	Quartile	Rank
Mathematics - Statistics and Probability	Q3	#172/262
Mathematics - Computational Mathematics	Q3	#124/172
Mathematics - Genetics	Q4	#293/328
Mathematics - Molecular Biology	Q4	#347/380

Web of Science Core Collection

Science Citation Index Expanded (SCIE)	Social Sciences Citation Index (SSCI)
Indexed	-

Category (Journal Citation Reports 2023)	Quartile
BIOCHEMISTRY & MOLECULAR BIOLOGY - SCIE	Q4
MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE	Q4
STATISTICS & PROBABILITY - SCIE	Q4

H-index

41

Country/Area of Publication

UNITED STATES

Publisher

Walter de Gruyter GmbH

Publication Frequency

Irregular

Year Publication Started

2002

Annual Article Volume

8

Open Access

NO

Contact

BERKELEY ELECTRONIC PRESS, 2809 TELEGRAPH AVENUE, STE 202, BERKELEY, USA, CA, 94705

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