Statistical Applications in Genetics and Molecular Biology
Editor-in-Chief: Stumpf, Michael P.H.
6 Issues per year
IMPACT FACTOR increased in 2014: 1.127
5-year IMPACT FACTOR: 1.537
Rank 47 out of 122 in category Statistics & Probability in the 2014 Thomson Reuters Journal Citation Report/Science Edition
SCImago Journal Rank (SJR) 2014: 0.740
Source Normalized Impact per Paper (SNIP) 2014: 0.470
Impact per Publication (IPP) 2014: 0.926
Mathematical Citation Quotient (MCQ) 2014: 0.17
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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:
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.
One issue/year, updated continuously
Content available since 2002 (Volume 1, Issue 1)
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 for Authors
Instructions for Authors
Aims and scope
Statistical Applications in Genetics and Molecular Biologyseeks 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 includes 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. The journal publishes Original Research Articles, Review Articles, Software Application Notes, and Book Reviews. Before submitting Review Articles please contact the Editor-in-Chief to discuss remit and content of the proposed review.
- Title page with authors’ institutional affiliations and a short title for the running head of not more than 60 characters (spaces inclusive). Indicate the corresponding author with an asterisk at the name (*) and provide the e-mail address
- Abstract containing 200 words or less. The abstract must be followed by a list of 3 to 6 keywords
- Subsequent sections including headings/subheadings, with a clear indication of the heading hierarchy; Acknowledgements
- Appendices (if applicable) with explanation of symbols mentioned in the text
- References - include a proper bibliography following the guidelines in the References section below.
- Please supply Tables, Figures and their legends in separate files, not embedded in the main text
- Pages should be numbered (with the title page as 1) and have margins of 2.5 cm (1 inch) on all sides. Footnotes in the text should be avoided in favor of parentheses.
- For Software Application Notes the maximum page length is 4 printed pages. For Book Reviews the maximum page length is 2 pages.
For authors working with LaTeX files, please see the related files and documentation athttp://www.degruyter.com/staticfiles/pdfs/DeGruyter_LaTeX_template_package.zip, including a template for author use and instructions for working with the files.
Abbreviations and units
The use of abbreviations and acronyms is permitted provided they are defined the first time they are used. Please use only SI units in the text.
Tables, Figures & Graphs
- Only Figures (graphs, line drawings, photographs, etc) should be labeled as ‘Figures’, not Tables or equations.
- Cite all Figures in the text in numerical order. Provide a short descriptive Figure title and a legend/caption to make each figure self-explanatory. Explain all symbols used in the figures. Remember to use the same abbreviations as in the text.
- Please do not embed Figures or Tables in the text. Instead, they should be referenced in the text and submitted in separate files.
- Figures should be submitted as JPG, TIF or EPS file and should have a resolution of at least 300 dpi. De Gruyter encourages authors to take advantage of the ability to use color in the production of Figures, maps, images, and graphs (publication of color figures is provided free of charge both in online and print editions.). However, please appreciate that this will cause some of your readers problems when they print the document on a black and white printer. For this reason, you are advised to avoid the use of colors in situations where their translation to black and white would render the material illegible or incomprehensible.
- For further information on Figures please see ‘Instructions for the Delivery of Imagery Data’
- Number Tables consecutively using Arabic numerals. Provide a short descriptive title, column headings, and (if necessary) footnotes to make each Table self-explanatory. Refer to Tables in the text as Table 1, 2 etc. Use Table 1, etc. in the Table legends. Tables must not be displayed as images.
Mathematics and equations
ReferencesReferences within text:
References must be of the form: Author (Year): "Title," Journal Name, Volume, Pages. For example:
Ahmad, I. and P. E. Lin (1976): "A nonparametric estimation of the entropy for absolutely continuous distributions," IEEE Trans. Inf. Theory, 22, 372– 375.
Scott, D. W. (1992): Multivariate density estimation: Theory, practice, and visualization, Wiley-Interscience.
Please use abbreviations for titles of journals in accordance with those listed in the "World List of Scientific Periodicals" (Butterworth London).
Only unpublished material can be accepted, and authors may not republish their paper in the same or similar form. The decision on the acceptance is taken after an external peer-reviewing procedure. There are no page charges.
Manuscripts must be submitted online at the following URL:http://mc.manuscriptcentral.com/dgsagmb
For online submission it is mandatory to suggest possible reviewers for the peer reviewing process. Please indicate the names and address details (including e-mail address) of at least three potential referees who are not from the Editorial Board of the journal.
Page proofs in PDF format will be online available to all authors afert typesetting with a request to carefully check them. At the proof stage, only minor changes other than corrections of printers’ errors are allowed.
The electronic files of typeset articles in Adobe Acrobat PDF format are provided free of charge; corresponding authors receive notification that their article has been published online. Paper offprints can be ordered in addition; an offprint order form will be available online during proof correction and should be completed when uploading the corrected galley proof.
Statistical Applications in Genetics and Molecular Biology is covered by the following services:
- AGRICOLA (National Agricultural Library)
- Baidu Scholar
- Chemical Engineering and Biotechnology Abstracts
- CNKI Scholar (China National Knowledge Infrastructure)
- Current Index to Statistics
- EBSCO - Academic Search
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- EBSCO Discovery Service
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- Google Scholar
- Mathematical Reviews (MathSciNet)
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- Primo Central (ExLibris)
- ProQuest - Advanced Technologies Database with Aerospace
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- ProQuest - ANTE: Abstracts in New Technologies and Engineering
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- ProQuest - Copper Technical Reference Library
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- ProQuest - Engineering Research Database
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- ProQuest - Mechanical & Transportation Engineering Abstracts
- ProQuest - METADEX (Metals Abstracts)
- ProQuest - Solid State and Superconductivity Abstracts
- ProQuest - Technology Research Database
- Research Papers in Economics (RePEc)
- SCImago (SJR)
- Summon (Serials Solutions/ProQuest)
- TDOne (TDNet)
- Thomson Reuters - Biological Abstracts
- Thomson Reuters - BIOSIS Previews
- Thomson Reuters - Current Contents/Life Sciences
- Thomson Reuters - Journal Citation Reports/Science Edition
- Thomson Reuters - Science Citation Index Expanded
- Ulrich's Periodicals Directory/ulrichsweb
- WorldCat (OCLC)
- Zentralblatt Math (zbMATH)
Michael P.H. Stumpf, Imperial College London
Nicholas P. Jewell, University of California Berkeley
Gary Churchill, The Jackson Laboratory
Elizabeth Thompson, University of Washington
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
Antti Honkela, University of Helsinki
Alan Hubbard, University of California
Dirk Husmeier, University of Glasgow
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
Olle Nerman, Chalmers University of Technology
Enrico G. Petretto, Imperial College London
John Pinney, Imperial College London
Vincent Plagnol, University College London
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
Ernst Wit, University of Groningen
Carsten Wiuf, University of Copenhagen
Hongyu Zhao, Yale University