期刊名称：STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY ISSN： 2194-6302 出版频率： Irregular 出版社： WALTER DE GRUYTER GMBH, GENTHINER STRASSE 13, BERLIN, GERMANY, D-10785   出版社网址： http://www.degruyter.com/view/j/sagmb 影响因子： 0.419 主题范畴： BIOCHEMISTRY & MOLECULAR BIOLOGY;    Mathematical & Computational Biology;    STATISTICS & PROBABILITY 期刊简介(About the journal)    投稿须知(Instructions to Authors)    编辑部信息(Editorial Board)    About the journal 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. Language: English Type of Publication: Journal Readership: The #13 ranked statistics journal in the ISI Science Citation Index, Statistical Applications in Genetics and Molecular Biology (SAGMB) covers the application of statistical ideas to problems arising from computational biology. Peer-reviewed articles address a wide range of topics, including 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 database search strategies. Publication History One issue/year, updated continuously Content available since 2002 (Volume 1, Issue 1) ISSN: 1544-6115   What scholars are saying about Statistical Applications in Genetics and Molecular Biology This journal will keep statisticians up to date on the thinking behind the development and validation of molecular biology based classifiers for diagnostic testing for use in such areas as early detection of disease or recurrence, risk stratification, prognosis, prediction of treatment response, monitoring, and drug dosing. Gene Pennello, Ph.D., Center for Devices and Radiological Health, FDA Statistical applications in Genetics and Genomics are very important areas of research. This journal is one of the high-quality journals that I use, and that my students use as well. Carl Lee, Professor of Mathematics, Central Michigan University Instructions to Authors For Authors.pdf Editorial Board Editor-in-Chief Michael P.H. Stumpf, Imperial College London Founding Editors Nicholas P. Jewell, University of California, Berkeley Gary Churchill, The Jackson Laboratory Elizabeth Thompson, University of Washington Associate Editors Mark Beaumont, University of Bristol Tim Beißbarth, University of Göttingen Harald Binder, Johannes Gutenberg University Mainz Colin Gillespie, University of Newcastle Mayetri Gupta, University of Glasgow, Scotland Alan Hubbard, University of California, Berkeley Dirk Husmeier, University of Glasgow, Scotland Hongkai Ji, Johns Hopkins University Sunduz Keles, University of Wisconsin Kathleen Kerr, University of Washington Laura Lazzeroni, Stanford University Shili Lin, Ohio State University Ping Ma, University of Illinois at Urbana-Champaign Paul Marjoram, University of Southern California Bart Mertens, Leiden University Medical Centre, The Netherlands Olle Nerman, Chalmers University of Technology Enrico G. Petretto, Imperial College London Vincent Plagnol, University College London Elizabeth Purdom, University of California, Berkeley Magnus Rattray, University of Manchester Stephane Robin, Institut National de la Recherche Agronomique Paris Andrey Rzhetsky, University of Chicago Guido Sanguinetti, University of Edinburgh Korbinian Strimmer, University of Leipzig Mark van der Laan, University of California, Berkeley Arndt von Haeseler, Center for Integrative Bioinformatics Vienna David Wild, University of Warwick Carsten Wiuf, University of Copenhagen Hongyu Zhao, Yale University