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期刊名
Statistical Applications in Genetics and Molecular Biology
STAT APPL GENET MOL
ISSN / eISSN
1544-6115 / 2194-6302
目标和范围
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.
研究方向
生化与分子生物学
数学与计算生物学
统计学与概率论
CiteScore
1.20
查看趋势图
CiteScore 学科排名
| 类别 | 分区 | 排名 |
|---|---|---|
| Mathematics - Statistics and Probability | Q4 | #211/278 |
| Mathematics - Computational Mathematics | Q4 | #147/189 |
| Mathematics - Genetics | Q4 | #314/347 |
| Mathematics - Molecular Biology | Q4 | #372/410 |
Web of Science 核心收藏夹
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| 类别 (Journal Citation Reports 2024) | 分区 |
|---|---|
| BIOCHEMISTRY & MOLECULAR BIOLOGY | Q4 |
| MATHEMATICAL & COMPUTATIONAL BIOLOGY | Q4 |
| STATISTICS & PROBABILITY | Q3 |
H-index
41
出版国家或地区
UNITED STATES
出版商
Walter de Gruyter GmbH
出版周期
Irregular
出版年份
2002
年文章数
11
Open Access
NO
通讯方式
BERKELEY ELECTRONIC PRESS, 2809 TELEGRAPH AVENUE, STE 202, BERKELEY, USA, CA, 94705
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