As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Announcement
Read our highly accessed articles
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Announcement: BMC Bioinformatics is piloting code peer review with Code Ocean
The Editor of BMC Bioinformatics is delighted to announce a 6 month author opt in pilot in partnership with Code Ocean, to faciliate peer review of source code.
BMC Series Focus Issues
May: Gut microbiome and digestive health
To commemorate World Digestive Health Day that is celebrated annually on 29th of May, this month we focus on Gut microbiome and digestive health. Here is a selection of manuscripts from different BMC Series Journals focusing on either gut microbiome or on digestive health in insects, animals and humans.
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Thematic series: Machine learning for computational and systems biology
BMC Bioinformatics is pleased to announce papers included as part of the thematic series "Machine learning for computational and systems biology" are now being published.
Articles
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BEAVR: a browser-based tool for the exploration and visualization of RNA-seq data
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Testing the advantages and disadvantages of short- and long- read eukaryotic metagenomics using simulated reads
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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
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Extracting chemical reactions from text using Snorkel
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QMachine: commodity supercomputing in web browsers
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
The Related Article to this article has been published in Nature Protocols 2013 8:BFnprot2013084
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WGCNA: an R package for weighted correlation network analysis
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A comparison of methods for differential expression analysis of RNA-seq data
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Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction
Aims and scope
BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.
Editor
- Alison Cuff, BioMed Central
Manuscript Editor
- Dylan Smith, BioMed Central
Assistant Editor
- Danielle Talbot, BioMed Central
Section Editors
- Lukasz Kurgan, Virginia Commonwealth University
- João Setubal, Universidade de São Paulo
- Jens Stoye, Universität Bielefeld
- Karin Verspoor, The University of Melbourne
- Jean-Philippe Vert, Mines ParisTech
- Andrew Cohen, Drexel University
- Shuiwang Ji, Texas A&M University
We are recruiting!
We are currently looking for new Associate Editors to join our team of academic editors, assessing manuscripts in the field of bioinformatics. We are particularly interested in hearing from researchers specializing in machine learning and artificial intelligence but all applications will be considered.
Journal Sections
Analysis and modelling of complex systems
Comparative genomics
Data visualization
Imaging, and image analysis
Knowledge-based analysis
Machine learning and artificial intelligence in bioinformatics
Networks analysis
Novel computational methods for the analysis of biological systems
Proteomics
Sequence analysis
Structural analysis
Transcriptome analysis
BMC Series Editorial Site
The BMC Series Editorial site serves as a home for editorial board resources and as an online community, facilitating interaction and networking between the editorial board and the BMC series in-house team.
BMC Series Blog
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2018 Journal Metrics
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Citation Impact
2.511 - 2-year Impact Factor
2.970 - 5-year Impact Factor
0.855 - Source Normalized Impact per Paper (SNIP)
1.374 - SCImago Journal Rank (SJR)Usage
4,129,368 downloadsSocial Media Impact
4446 mentions
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