Statistical Applications in Genetics and Molecular Biology
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
View Trend
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
Annual Article Volume
8
Open Access
NO
Contact
GENTHINER STRASSE 13, BERLIN, GERMANY, D-10785
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