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Journal of Computational Biology

Journal of Computational Biology

Published in Association with RECOMB

eISSN: 15578666 | ISSN: 10665277
The leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. The journal publishes articles whose primary contributions are the development and application of new methods in computational biology, including algorithmic, statistical, mathematical, machine learning, and artificial intelligence contributions. The journal welcomes novel methods that tackle established problems within computational biology; novel methods and frameworks that anticipate new problems and data types arising in computational biology; and novel methods that are inspired by studying natural computation. This is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics and computational biology.

Journal of Computational Biology publishes articles whose primary contributions are the development and application of new methods in computational biology, including algorithmic, statistical, mathematical, machine learning and artificial intelligence contributions. The journal welcomes novel methods that tackle established problems within computational biology; novel methods and frameworks that anticipate new problems and data types arising in computational biology; and novel methods that are inspired from studying natural computation. Methods should be tested on real and/or simulated biological data whenever feasible. Papers whose primary contributions are theoretical are also welcome. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics and computational biology.

Research Articles: Research articles describe new methodology development and application in computational biology. It is recommended that manuscripts should be approximately 3,000 words, excluding tables, figures, legends, abstract, disclosure or references; longer articles can also be submitted. Research articles should include the following sections, in order: abstract, introduction, methods, results, discussion and references.

Software articles: Short 2-4 page articles describing implementations of new or recently developed computational methods for applications in computational biology. The approaches underlying the software should have methodologically interesting components. Software articles can be published as companion articles to primary research articles which describe the main methodological contributions. Software article submissions should be accompanied by a cover letter that concisely states the novel implementation and algorithmic challenges the software tackles.

*Research and software articles should report unique findings not previously published.

Tutorials: These articles highlight important concepts in computational biology. The journal especially welcomes tutorials on algorithms, data structures, machine learning paradigms, and other computational formalisms that are newly being utilized in computational biology. Prospective contributors should contact the journal (jcb@liebertpub.com) with brief outlines before proceeding.

Reviews: Brief outlines from prospective contributors are welcome, and these will also be solicited on specific subjects. Articles that benchmark existing approaches are also welcome.

News/Perspectives/Book Reviews: These article types should typically be 2–4 pages long. Contacting the journal before beginning such a paper is suggested.

Conference and other special issues: The Journal of Computational Biology welcomes proposals for special issues related to topics within the scope of the journal.

Journal of Computational Biology coverage includes:
Algorithms for computational biology
Mathematical modeling and simulation
AI / Machine learning
Statistical formulations
Software for applied bioinformatics
Genomics and systems biology
Evolution and population genomics
Biomedical applications
Biocomputing and biology-inspired algorithms
Specific topics of interest include, but are not limited to:

Molecular sequence analysis
Sequencing and genotyping technologies
Regulation and epigenomics
Transcriptomics, including single-cell
Metagenomics
Population and statistical genetics
Evolutionary, compressive and comparative genomics
Structure and function of non-coding RNAs
Computational proteomics and proteogenomics
Protein structure and function
Biological networks
Computational systems biology
Privacy of biomedical data
Bioimaging
Journal of Computational Biology is under the editorial leadership of Editor-in-Chief Mona Singh, PhD, Princeton University; and other leading investigators.

Audience: Computational biologists, bioinformaticians, data scientists, applied mathematicians, and computer scientists, among others. 

Editorial Board
Tatsuya Akutsu Kyoto University, Kyoto, Japan
Vineet Bafna University of California San Diego, San Diego, CA, USA
Soren Brunak, PhD University of Copenhagen, Denmark
Gary A Churchill Jackson Laboratory, Bar Harbor, ME, USA
Christina Curtis, PhD, MSC Stanford University School of Medicine, Stanford, CA, USA
Dan F Deblasio, PhD The University of Texas at El Paso, USA
Alexei Finkelstein Institute Of Protein Research, Moscow Region, Russia
David J Galas, PhD Pacific Northwest Research Institute (Pnri), Seattle, WA, USA
Gamze Gursoy, PhD Columbia University, New York, NY, USA
David Haussler, PhD Univ Of California Santa Cruz, Santa Cruz, CA, USA
Leroy Hood, MD, PhD Phenome Health & Isb, Seattle, WA, USA
Haiyan Huang, PhD University Of California Berkeley, Berkeley, CA, USA
Sorin Istrail Brown Univ Center For Cmb & Computer Sci, Providence, RI, USA
Carl Kingsford, PhD Carnegie Mellon University, Pittsburgh, PA, USA
Anshul Kundaje, PhD Stanford University, Palo Alto, CA, USA
Sara Mostafavi, BSC, MSC, PhD University of Washington, Seattle, WA, USA
Saket Navlakha, PhD Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
Aida Ouangraoua, PhD Universite De Sherbrooke, Sherbrooke, QC, Canada
Laxmi Parida Ibm Tj Watson Research Center, Yortown Heights, NY, USA
Alan Perelson Los Alamos National Lab, Los Alamos, NM, USA
Mihaela Pertea, PhD, MS, MSE Johns Hopkins University, Baltimore, MD, USA
Teresa Przytycka, PhD Nih, Bethesda, MD, USA
Gesine Reinert, PhD University Of Oxford, Oxford, United Kingdom
Fred S Roberts Rutgers University, Piscataway, NJ, USA
Sushmita Roy, PhD University of Wisconsin, Madison, WI, USA
Steven Salzberg Johns Hopkins University, USA
Sriram Sankararaman, PhD University of California, Los Angeles, CA, USA
David Sankoff University of Ottawa, Ottawa, ON, Canada
David Schwartz Univ Wisconsin-Madison/Biotech Center, Madison, WI, USA
Russell Schwartz Carnegie Mellon University, Pittsburgh, PA, USA
Ron Shamir Tel Aviv University, Tel Aviv, Israel
Mingfu Shao, PhD Penn State University, University Park, PA, USA
Mona Singh, PhD Princeton University, Princeton, NJ, USA
Ritambhara Singh, PhD Brown University, Providence, RI, USA
David States University of Michigan, Ann Arbor, MI, USA
Mike Steel Univ Of Canterbury, Christchurch, New Zealand
Krister Swenson, PhD National Centre For Scientific Research, Montpellier, France
Simon Tavaré University of Southern California, USA
Martin Vingron Max-Planck Institute For Molecular Genetics, Berlin, Germany
Michael S Waterman Univ Of Southern California, Los Angeles, CA, USA
Wing Hung Wong Stanford University, Stanford, CA, USA
Hongyi Xin, PhD Shanghai Jiao Tong University, Shanghai, China
Vicky Yao, PhD Rice University, Houston, TX, USA