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About Algorithms for Molecular Biology
What is Algorithms for Molecular Biology? Algorithms for Molecular Biology is an open access, peer-reviewed online journal that encompasses all aspects of algorithms and software tools for molecular biology and genomics. Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms. Where appropriate, manuscripts should describe applications to real-world data. However, pure algorithm papers are also welcome if future applications to biological data are to be expected, or if they address complexity or approximation issues of novel computational problems in molecular biology. Articles about novel software tools will be considered for publication if they contain some algorithmically interesting aspects. Content overview Algorithms for Molecular Biology considers the following types of articles:
Peer review policies The Editor-in-Chief will send submitted manuscripts to an associate editor responsible for the field, who will manage the editorial and refereeing procedure. The associate editor will send the manuscript to two or three referees and will ensure that the reports are returned within three weeks. The associate editor managing a manuscript will be responsible for the final decision about acceptance or rejection of the manuscript. Edited by Burkhard Morgenstern and Peter Stadler, Algorithms for Molecular Biology is supported by an expert Editorial Board. Publishing in Algorithms for Molecular Biology All articles are listed in PubMed immediately upon acceptance (after peer review), and are covered by PubMed Central, Thomson Reuters (ISI), ACM, Biosis, CAS and Scopus. Articles in Algorithms for Molecular Biology should be cited in the same way as articles in a traditional journal. However, because articles in this journal are not printed, they do not have page numbers. Instead, they have a unique article number. The following citation: As an online journal, Algorithms for Molecular Biology does not have issue numbers. Each volume corresponds to a calendar year. To keep up to date with the latest articles from Algorithms for Molecular Biology, why not register to receive alerts? Registration also enables you to customise your subject areas of interest, store your searches, and submit your manuscripts. Submission of manuscripts Manuscripts should be submitted electronically to Algorithms for Molecular Biology using the online submission system. Full details of how to submit a manuscript are given in the instructions for authors. General journal policies Algorithms for Molecular Biology is published by BioMed Central, part of Springer Science+Business Media. BioMed Central is committed to ensuring peer-reviewed biomedical research is open access. That means it is freely and universally accessible online, it is archived in at least one internationally recognised free access repository, and its authors retain copyright, allowing anyone to reproduce or disseminate articles, according to the BioMed Central copyright and licence agreement. Algorithms for Molecular Biology however, has taken this further by making all its content open access. Algorithms for Molecular Biology's articles are archived in PubMed Central, the US National Library of Medicine's full-text repository of life science literature, and also at INIST in France and in e-Depot, the National Library of the Netherlands' digital archive of all electronic publications. The journal is also participating in the British Library's e-journals pilot project, and plans to deposit copies of all articles with the British Library. Algorithms for Molecular Biology is able to deliver summaries of frequently updated content via Really Simple Syndication (RSS) feeds. These are accessible via the orange "XML" button at the top of the list of recent articles or the list of most accessed articles. For more information about RSS feeds see our publisher's website. If you would like to help raise awareness of Algorithms for Molecular Biology, why not download the journal's
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