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Featured Collection: Selected papers from WABI 2024

Algorithms for Molecular Biology is proud to publish the extended proceedings of WABI 2024, an international conference covering research in algorithmic work in bioinformatics, computational biology and systems biology.


  1. Authors: Ronny Lorenz, Stephan H Bernhart, Christian Höner zu Siederdissen, Hakim Tafer, Christoph Flamm, Peter F Stadler and Ivo L Hofacker

Thematic series
Edited by: Mathieu Blanchette and Aïda Ouangraoua

Thematic series
Selected papers from WABI 2018
Edited by: Laxmi Parida and Esko Ukkonen

Thematic series
Selected papers from WABI 2017
Edited by: Knut Reinert and Russell Schwartz

Thematic series
Selected papers from WABI 2016
Edited by: Martin C. Frith and Christian N.S. Pedersen

Thematic series
Selected papers from WABI 2015
Edited by: Mihai Pop and Helene Touzet

Thematic series
Constraints in Bioinformatics
Algorithms for Molecular Biology
Edited by: Sebastian Will, Agostino Dovier, Alessandro Dal Palu', and Rolf Backofen

Thematic series
Phylogenetics: New data, new challenges
Algorithms for Molecular Biology
Edited by: Mike Steel, Vincent Moulton, and Tandy Warnow

Thematic series
Selected papers from WABI 10
Algorithms for Molecular Biology
Edited by: Vincent Moulton, and Mona Singh

Thematic series
Selected papers from WABI 09
Algorithms for Molecular Biology
Edited by Tandy Warnow and Steven Salzberg


Prof. Peter Stadler, University of Leipzig, Germany
Prof. Sebastian Will, Ecole Polytechnique, France

Aims and scope

Algorithms for Molecular Biology publishes articles on novel and improved algorithms and methods in bioinformatics. 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, combinatorial algorithms, statistical methods, machine learning, and network analysis.

Where appropriate, manuscripts should also describe applications to real-world data and/or evaluations of algorithms on simulated data. Pure algorithm papers are 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 and benchmarking studies will be considered for publication if they contain algorithmically interesting aspects. The journal does not publish applications of established tools, methods, or workflows to particular biological case studies and descriptions of incremental improvements of software tools or data resources.

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 1.5
    5-year Journal Impact Factor: 1.3
    Source Normalized Impact per Paper (SNIP): 0.561
    SCImago Journal Rank (SJR): 0.654

    Speed 2023
    Submission to first editorial decision (median days): 6
    Submission to acceptance (median days): 97

    Usage 2023
    Downloads: 295,821
    Altmetric mentions: 48