Test Cover Image of:  Statistical Applications in Genetics and Molecular Biology
Impact Factor
0.778

Statistical Applications in Genetics and Molecular Biology

Editor In Chief: Guido Sanguinetti
Your benefits
  • Theoretical and computational innovations in the statistical analysis of biological data and systems
  • Practical applications of statistical ideas to computational biology, genomics, and systems biology and medicine
  • Specialized expertise in genomics, molecular, cellular and systems biology
  • Internationally recognized authors and editorial board
  • Rapid online publication of contributions as “ahead-of-print” versions
  • High quality peer review
  • Rapid “ahead-of-print” online publication of accepted papers
  • Open Access publication option available

Objective
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.

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

Topics
  • Linkage mapping
  • Association studies
  • Gene regulatory networks
  • Protein structure prediction
  • High-throughput data analysis
  • Molecular evolution and phylogenetic trees
  • Multi-omics data integration
  • Genetic and epigenetic data modelling

Article formats
Original Research Articles, Review Articles, Software Application Notes, and Book Reviews.

Information on submission process

Journal Metrics

5-year Impact Factor
0.792
Cite Score
1.6
Impact Factor
0.778
Mathematical Citation Quotient
0.02
SCImago Journal Rank
0.427
Source Normalized Impact per Paper
0.551

History

Content available since 2002 (Volume 1, Issue 1)

Previously published by Berkeley Electronic Press

Content available since 2002 (Volume 1, Issue 1)

Previously published by Berkeley Electronic Press

Other publications in the field
The International Journal of Biostatistics
Molecular Based Mathematical Biology
Bio-Algorithms and Med-Systems
Journal of Applied Mathematics, Statistics and Informatics

Old titles of this journal

Details on availability and prices of recent back volumes and issues will be provided on request from service@degruyter.com. All volumes of the majority of our journals* with the noted exception of the current volume are being offered by

Schmidt Periodicals GmbH, Bad Feilnbach
Tel.: (+49) 80 64 – 221
Fax: (+49) 80 64 – 557
Email: schmidt@periodicals.com
http://www.periodicals.com

(* For periodicals not included in this agreement, please refer to the distribution address provided on the homepage of the periodical.)

Abstracting & Indexing

Statistical Applications in Genetics and Molecular Biology is covered by the following services:

  • AGRICOLA (National Agricultural Library)
  • Baidu Scholar
  • Cabell's Whitelist
  • Case
  • Chemical Abstracts Service (CAS) - CAplus
  • Chemical Abstracts Service (CAS) - SciFinder
  • Chemical Engineering and Biotechnology Abstracts
  • CNKI Scholar (China National Knowledge Infrastructure)
  • CNPIEC - cnpLINKer
  • Current Index to Statistics
  • Dimensions
  • EBSCO (relevant databases)
  • EBSCO Discovery Service
  • EconBiz
  • Embase
  • Genamics JournalSeek
  • Google Scholar
  • Japan Science and Technology Agency (JST)
  • J-Gate
  • Journal Citation Reports/Science Edition
  • JournalTOCs
  • KESLI-NDSL (Korean National Discovery for Science Leaders)
  • Mathematical Reviews (MathSciNet)
  • Medline
  • Meta
  • Microsoft Academic
  • MyScienceWork
  • Naver Academic
  • Naviga (Softweco)
  • Primo Central (ExLibris)
  • Publons
  • PubMed
  • QOAM (Quality Open Access Market)
  • ReadCube
  • Reaxys
  • Research Papers in Economics (RePEc)
  • SCImago (SJR)
  • SCOPUS
  • Semantic Scholar
  • Sherpa/RoMEO
  • Summon (ProQuest)
  • TDNet
  • Text Mining
  • Ulrich's Periodicals Directory/ulrichsweb
  • WanFang Data
  • Web of Science - Biological Abstracts
  • Web of Science - BIOSIS Previews
  • Web of Science - Current Contents/Life Sciences
  • Web of Science - Science Citation Index Expanded
  • WorldCat (OCLC)
  • Yewno
  • Zentralblatt Math (zbMATH)

Submission
Online Submission of Manuscripts

Your benefits of publishing with us
  • Highly ranked statistics journal in the ISI Science Citation Index
  • International Editorial Board with experts from various fields in the relevant area
  • Decisions on your submission made as soon as possible
  • Every article easily discoverable because of Search Engine Optimization (SEO) and comprehensive abstracting and indexing services
  • Convenient citation tracking via e-mail alert
  • Secure archiving by De Gruyter and the independent archiving service Portico
  • Professional sales and marketing activities
  • Ahead-of-print publishing ensures faster processing of fully proof-read, DOI-citable articles

Submission process
  • Submit your paper via our Scholar One submission management tool following the Instructions for Authors
  • After logging in you will be guided through every step of the submission process
  • In case of any problems the editorial staff will make its best to answer all your queries

Please note
  • Before submitting your article please have a look at our copyright agreement
  • Once your article is accepted you have the option to publish it open access
  • Our repository policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
  • If you have any general questions please visit our FAQ page for authors

We look forward to receiving your manuscript!

Hybrid Open Access

For complete details on hybrid open access publishing at De Gruyter please see: https://www.degruyter.com/page/560

Effective 1st January 2016, authors from an institution affiliated with either the Association of Dutch Universities (VSNU), the Consortium of Swiss Academic Libraries or some UK libraries participating in the Jisc Collections SMP may publish primary research and review articles open access in any of De Gruyter’s OnlineOpen journals at a discount of 90% of the APC price. For more information and to confirm whether your institution is eligible please see the following:

The Netherlands: https://www.degruyter.com/page/1461
The UK: https://www.degruyter.com/page/1462
Switzerland:  https://www.degruyter.com/page/1463

Editor-in-Chief
Guido Sanguinetti
, University of Edinburgh

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, Universitty of Freiburg
Frank Dondelinger, Lancaster University
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
Shili Lin, Ohio State University
Ping Ma, University of Illinois at Urbana-Champaign
Vincent Macaulay, University of Glasgow
Paul Marjoram, University of Southern California
Bart Mertens, Leiden University Medical Centre
Sach Mukherjee, German Center for Neurodegenerative Diseases Bonn
Olle Nerman, Chalmers University of Technology
Enrico G. Petretto, Imperial College London
John Pinney, Imperial College London
Magnus Rattray, University of Manchester
Andrey Rzhetsky, University of Chicago
Nicolas Salamin, University of Lausanne
Michael Stumpf, University of Melbourne
Catalina Vallejos, University of Edinburgh
Mark van der Laan, University of California Berkeley
Arndt von Haeseler, Center for Integrative Bioinformatics Vienna
Ernst Wit, University of Groningen
Christopher Yau, University of Birmingham


SAGMB Editorial Office
Walter de Gruyter GmbH
Genthiner Str. 13
10785 Berlin
Germany
Tel. +49-30-26005-176
Fax: +49-30-26005-352
E-mail: sagmb.editorial@degruyter.com

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Audience:

Researchers and practitioners interested in statistical applications in genetics and molecular biology