Statistical Applications in Genetics and Molecular Biology
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Editor-in-Chief:
Über diese Zeitschrift
Objective
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.
Ihre Vorteile
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
Complete Archive Access
As of 2026, all De Gruyter journal subscriptions include access to every issue, from Volume 1, Issue 1 through to today, meaning subscribers can access even more research at no additional cost.
Geschichte
Content available since 2002 (Volume 1, Issue 1)
Previously published by Berkeley Electronic Press
Other publications in the field
Call for Papers
Zusatzmaterial
| 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 | 0.06 |
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 Sc holar 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 tha t 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 ca n publish open access without paying an article processing charge (APC). Mor e 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, USA
Associate Editors
Swati Biswas, University of Texas at Dallas
Giulio Caravagna, University of Trieste
Yuehua Cui, Michigan State University
Fabiola Del Greco, Eurac Research
Debashis Ghosh, Colorado School of Public Health
Dirk Husmeier, University of Glasgow
Hongkai Ji, Johns Hopkins University
Katerina Kechris, Colorado School of Public Health
Sunduz Keles, University of Wisconsin
Ping Ma, University of Georgia
Himel Mallick, Cornell University
John Pinney, Imperial College London
Steve Qin, Emory University
Magnus Rattray, University of Manchester
Andrey Rzhetsky, University of Chicago
Guido Sanguinetti, International School of Advanced Studies Trieste
Qiuying Sha, Michigan Technological University
Judong Shen, Merck & Co., Inc.
Wei Sun, Fred Hutchinson Cancer Center
Asuman Turkmen, The Ohio State University
Catalina Vallejos, University of Edinburgh
Hao Wu, Shenzhen University of Advanced Technology
Christopher Yau, University of Birmingham
Hong Zhang, University of Science and Technology of China
Vanda Lourenço, NOVA University of Lisbon
Yuan Jiang, Oregon State University
Li-xuan Qin, Memorial Sloan Kettering CancerC enter
Dr. Jung-Ying Tzeng, North Carolina State University
Xuexia Wang, Florida International University
Editorial Board Members
Tim Beißbarth, University of Göttingen
Alan Hubbard, University of California
Bart Mertens, Leiden University Medical Centre
Enrico G. Petretto, Imperial College London
Nicolas Salamin, University of Lausanne
Michael Stumpf, University of Melbourne
Mark van der Laan, University of California Berkeley
Founding Editors
Nicholas P. Jewell, University of California Berkeley
Gary Churchill, The Jackson Laboratory
Elizabeth Thompson, University of Wa shing ton
SAGMB Editorial Office
Walter de Gruyter Brill GmbH
Genthiner Str. 13
107 85 Berlin
Germany
Tel. +49-30-26005-176
Fax: +49-30- 26005-352
E-mail: sagmb.editorial@degruyterbrill.com
Statistical Applications in Genetics and Molecular Biology ist in den folgenden Services indiziert:
- AGRICOLA (National Agricultural Library)
- Baidu Scholar
- Cabells Journalytics
- 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
- Mathematical Reviews (MathSciNet)
- Medline
- Naver Academic
- Naviga (Softweco)
- Primo Central (ExLibris)
- Publons
- PubMed
- QOAM (Quality Open Access Market)
- ReadCube
- Reaxys
- RePEc (Research Papers in Economics): IDEAS, EconPapers
- ScienceON (Korea Institute of Science and Technology Information)
- Scilit
- 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)
- X-MOL
- Yewno Discover
- zbMATH Open
Fachgebiete
- Herstellerinformationen:
- Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin - productsafety@degruyterbrill.com
