Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology
Editor-in-Chief: Jewell, Nicholas P. / Churchill, Gary A. / Thompson, Elizabeth A.
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- Call for Papers/Guidelines
- Additional Information
- Abstracting & Indexing
- Editorial Information
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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.
- Type of Publication:
- Journal
- Subjects
- Natural Sciences > Biochemistry > Biochemistry, Methods
- Natural Sciences > Biochemistry > Biochemistry, General
- Natural Sciences > Biochemistry > Molecular Biology, Molecular Genetics
- Mathematics > Applied Mathematics
- Natural Sciences > Biology > Biology, General
- Mathematics > Probability Theory and Statistics
- Medicine > Medicine, General
Statistical Applications in Genetics and Molecular Biology is covered by the following abstracting and indexing services:
- AGRICOLA
- Chemical Abstracts
- Current Index to Statistics
- Elsevier: EMBase, Scopus
- ISI: Biological Abstracts, BIOSIS Previews, Biotechnology Citation Index, Current Contents, Journal Citation Reports / Science Edition, SciSearch
- Mathematical Reviews
- Medline
- OCLC: World Cat
- Pubmed
- Zentralblatt MATH
Senior Editor
Nicholas P. Jewell, University of California, Berkeley
Founding Editors
Gary Churchill, The Jackson Laboratory
Elizabeth Thompson, University of Washington, Department of Biostatistics
Associate Editors
Melanie Bahlo, The Walter and Eliza Hall Institute of Medical Research
Harald Binder, University Medical Center Johannes Gutenberg University Mainz
Sharon Browning, The University of Auckland, New Zealand
Jennifer Bryan, University of British Columbia
Rebecca Doerge, Purdue University
Sandrine Dudoit, University of California, Berkeley
Josée Dupuis, Boston University
Debashis Ghosh, Pennsylvania State University
Anja von Heydebreck, Merck KGaA, Germany
Haiyan Huang, University of California, Berkeley
Alan Hubbard, University of California, Berkeley
Wolfgang Huber, European Bioinformatics Institute, Cambridge
Dirk Husmeier, University of Glasgow, Scotland
Hongkai Ji, Johns Hopkins University
Sunduz Keles, University of Wisconsin
Kathleen Kerr, University of Washington
Mark van der Laan, University of California, Berkeley
Laura Lazzeroni, Stanford University
Shili Lin, Ohio State University
Jun Liu, Harvard University
Ping Ma, University of Illinois at Urbana-Champaign
Ulrich Mansmann, University of Munich
Lauren McIntyre, University of Florida
Mary Sara McPeek, University of Chicago
Bart Mertens, Leiden University Medical Centre, The Netherlands
Olle Nerman, Chalmers University of Technology
Dan Nicolae, University of Chicago
Katherine Pollard, University of California, San Francisco
Elizabeth Purdom, University of California, Berkeley
Andrey Rzhetsky, University of Chicago
Terry Speed, University of California, Berkeley
Lei Sun, University of Toronto
Rob Tibshirani, Stanford University
Daniel Weeks, University of Pittsburgh
Hongyu Zhao, Yale University