Startseite Lebenswissenschaften Statistical Applications in Genetics and Molecular Biology
journal: Statistical Applications in Genetics and Molecular Biology
Impact Factor: 0.4
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Statistical Applications in Genetics and Molecular Biology

  • Editor-in-Chief: Shili Lin
Sprache: Englisch
Erstveröffentlichung: 1. Mai 2002

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.

Die Zeitschrift Statistical Applications in Genetics and Molecular Biology veröffentlicht Sonder- und Themenhefte, die sich auf wichtige und neu aufkommende Themen im Bereich der Forschung konzentrieren. Die Zeitschrift hat ein strenges Verfahren eingeführt, um sicherzustellen, dass alle Manuskripte für Sonderausgaben denselben Qualitätsstandards und Peer-Review-Verfahren unterliegen wie reguläre Manuskripte. Weitere Informationen über die Peer-Review-Politik der Zeitschrift finden Sie in den "Hinweisen für Autoren".

Call for Papers

Manuskript einreichen

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 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, USA

Founding Editors
Nicholas P. Jewell
, University of California Berkeley
Gary Churchill, The Jackson Laboratory
Elizabeth Thompson, University of Washington

Associate Editors
Tim Beißbarth, University of Göttingen
Swati Biswas, University of Texas at Dallas
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
Katerina Kechris, Colorado School of Public Health
Sunduz Keles, University of Wisconsin
Shili Lin, Ohio State University
Ping Ma, University of Georgia
Himel Mallick, Cornell University
Bart Mertens, Leiden University Medi cal 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
Judong Shen, Merck & Co., Inc.
Michael Stumpf, University of Melbourne
Wei Sun, Fred Hutchinson Cancer Center
Catalina Vallejos, Unive rsity 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
Vanda Lourenço, NOVA University of Lisbon
Yuan Jiang, Oregon State University
Li-xuan Qin, Memorial Sloan Kettering Cancer Centre


SAGMB Editorial Office
Walter de Gruyter Brill GmbH
Genthiner Str. 13
10785 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

Zeitschriften Informationen
Weitere Informationen
eISSN:
1544-6115
ISSN:
2194-6302
Sprache:
Englisch
Verlag:
De Gruyter
Weitere Informationen
Erstveröffentlichung:
1. Mai 2002
Heruntergeladen am 6.2.2026 von https://www.degruyterbrill.com/journal/key/sagmb/html
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