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ObjectiveStatistical 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
Article formatsOriginal Research Articles, Review Articles, Software Application Notes.
Content available since 2002 (Volume 1, Issue 1)
Previously published by Berkeley Electronic Press
Other publications in the field
Details on availability and prices of recent back volumes and issues will be provided on request from firstname.lastname@example.org. All volumes of the majority of our journals* with the noted exception of the current volume are being offered by
Schmidt Periodicals GmbH, Bad FeilnbachTel.: (+49) 80 64 – 221Fax: (+49) 80 64 – 557Email: email@example.com://www.periodicals.com
(* For periodicals not included in this agreement, please refer to the distribution address provided on the homepage of the periodical.)
Statistical Applications in Genetics and Molecular Biology is covered by the following services:
SubmissionOnline Submission of Manuscripts
We look forward to receiving your manuscript!
Hybrid Open Access
In this journal, authors have the option to publish their article 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.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-ChiefGuido Sanguinetti, International School of Advanced Studies Trieste
Founding EditorsNicholas P. Jewell, University of California BerkeleyGary Churchill, The Jackson LaboratoryElizabeth Thompson, Johns Hopkins University of Baltimore
Associate EditorsMark Beaumont, University of BristolTim Beißbarth, University of GöttingenHarald Binder, Universitty of FreiburgGiulio Caravagna, University of TriesteFrank Dondelinger, Lancaster UniversityAntti Honkela, University of HelsinkiAlan Hubbard, University of CaliforniaDirk Husmeier, University of GlasgowHongkai Ji, Johns Hopkins UniversitySunduz Keles, University of WisconsinShili Lin, Ohio State UniversityPing Ma, University of GeorgiaPaul Marjoram, University of Southern CaliforniaBart Mertens, Leiden University Medical CentreSach Mukherjee, German Center for Neurodegenerative Diseases BonnOlle Nerman, Chalmers University of TechnologyEnrico G. Petretto, Imperial College LondonJohn Pinney, Imperial College LondonMagnus Rattray, University of ManchesterAndrey Rzhetsky, University of ChicagoNicolas Salamin, University of LausanneMichael Stumpf, University of MelbourneCatalina Vallejos, University of EdinburghMark van der Laan, University of California BerkeleyArndt von Haeseler, Center for Integrative Bioinformatics ViennaErnst Wit, University of GroningenChristopher Yau, University of Birmingham
SAGMB Editorial OfficeWalter de Gruyter GmbHGenthiner Str. 1310785 BerlinGermanyTel. +49-30-26005-176Fax: +49-30-26005-352E-mail: firstname.lastname@example.org