Thematic series
RECOMB-CG
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
Featured series: WABI 2020
Please take some time to read our journal’s new thematic series, selections from WABI 2020. This collection was guest edited by Carl Kingsford and Nadia Pisanti, and features the latest algorithmic work in bioinformatics, computational biology, and systems biology.
Featured series: RECOMB-CG
We are proud to present the extended proceedings of the 16th annual RECOMB Comparative Genomics Satellite Conference (RECOMB-CG), guest edited by Prof Mathieu Blanchette and Prof Aïda Ouangraoua. The series brings together top researchers in the mathematical, computational, and life sciences to discuss cutting edge research in comparative genomics, with an emphasis on computational approaches and the analysis of novel experimental results. Read this collection here, where articles will be added as they are published.
Articles
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DeepGRP: engineering a software tool for predicting genomic repetitive elements using Recurrent Neural Networks with attention
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Heuristic algorithms for best match graph editing
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A novel method for inference of acyclic chemical compounds with bounded branch-height based on artificial neural networks and integer programming
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INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis
Editors-in-Chief
Burkhard Morgenstern, University of Göttingen, Germany
Peter Stadler, University of Leipzig, Germany
Aims and scope
Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning.
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.
Article collections
Thematic series
Selected papers from WABI 20
Edited by: Carl Kingsford and Nadia Pisanti
Thematic series
Selected papers from WABI 19
Edited by: Katharina Huber and Dan Gusfield
Thematic series
RECOMB-CG
Edited by: Mathieu Blanchette and Aïda Ouangraoua
Thematic series
Selected papers from WABI 18
Edited by: Laxmi Parida and Esko Ukkonen
View all article collections
Annual Journal Metrics
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Speed
123 days to first decision for reviewed manuscripts only
93 days to first decision for all manuscripts
244 days from submission to acceptance
17 days from acceptance to publication
Citation Impact
1.405 - 2-year Impact Factor
1.608 - 5-year Impact Factor
0.949 - Source Normalized Impact per Paper (SNIP)
0.858 - SCImago Journal Rank (SJR)
Usage
138,344 Downloads
44 Altmetric Mentions