Statistical Applications in Genetics and Molecular Biology
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Editor-in-Chief:
Shili Lin
About this journal
Statistical Applications in Genetics and Molecular Biology (SAGMB) is a peer reviewed journal dedicated to advancing statistical, machine learning, and artificial intelligence (AI) methodologies and their applications across the full spectrum of modern molecular biosciences. The journal welcomes high-quality research addressing analytical challenges in all omics domains, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics.
SAGMB serves as a platform for rigorous quantitative methods that support the analysis and interpretation of complex, high-dimensional biological data. Submissions that introduce novel techniques or demonstrate insightful applications of existing statistical, machine learning, and AI approaches to molecular biology are strongly encouraged. Review papers and Tutorials (including on software applications) are also welcome.Article formats
Original Research Articles, Review Articles, Tutorials.
Call for Papers
Supplementary Materials
| Journal Impact Factor | 0.4 | 2024, Journal Citation Reports (Clarivate, 2025) |
| 5-year Journal Impact Factor | 0.5 | 2024, Journal Citation Reports (Clarivate, 2025) |
| Journal Citation Indicator | 0.21 | 2024, Journal Citation Reports (Clarivate, 2025) |
| CiteScore | 1.2 | 2024, Scopus (Elsevier B.V., 2025) |
| SCImago Journal Rank | 0.213 | 2024, SJR (Scimago Lab, 2025; Data Source: Scopus) |
| Source Normalized Impact per Paper | 0.228 | 2024, CWTS Journal Indicators (CWTS B.V., 2025; Data Source: Scopus) |
| Mathematical Citation Quotient | 0.04 |
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
- 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 Transfer 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 for authors
We look forward to receiving your manuscript!
Hybrid Open Access
In this journal, authors have the option to publish their articles under an open access license. Open Access allows you as an author to retain copyright and share your findings with colleagues and interested parties worldwide without any restraints. If you choose to publish in hybrid gold open access, more information on costs can be found under the " Hybrid Journals" tab here.
Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.
Editor-in-Chief
Shili Lin, Ohio State University
Founding Editors
Nicholas P. Jewell, University of California Berkeley
Gary Churchill, The Jackson Laboratory
Elizabeth Thompson, Johns Hopkins University of Baltimore
Associate Editors
Tim Beißbarth, University of Göttingen
Giulio Caravagna, University of Trieste
Fabiola Del Greco, Eurac Research
Frank Dondelinger, Lancaster University
Debashis Ghosh, Colorado School of Public Health
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 Georgia
Himel Mallick, Cornell University
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
Guido Sanguinetti, International School of Advanced Studies Trieste
Qiuying Sha, Michigan Technological University
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
Christopher Yau, University of Birmingham
Hong Zhang, University of Science and Technology of China
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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