The Editors of BMC Bioinformatics and BMC Medical Informatics and Decision Making are pleased to invite submissions to our Big Data and Machine Learning in Bioinformatics and Medical Informatics cross-journal collection, guest edited by Frank Eisenhanber, Somali Chaterji, Khanh N.Q Le and Placide Poba-Nzaou.
Collection open to submissions
Editor's Pick
Articles
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Predicting the pathogenicity of bacterial genomes using widely spread protein families
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RAE1 is a prognostic biomarker and is correlated with clinicopathological characteristics of patients with hepatocellular carcinoma
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A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture
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SAPFIR: A webserver for the identification of alternative protein features
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QMachine: commodity supercomputing in web browsers
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WGCNA: an R package for weighted correlation network analysis
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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:nprot.2013.084
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Statistical analysis of real-time PCR 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 describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.
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Annual Journal Metrics
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Speed
15 days to first decision for all manuscripts
70 days to first decision for reviewed manuscripts only
163 days from submission to acceptance
36 days from acceptance to publicationCitation Impact
3.169 - 2-year Impact Factor
3.629 - 5-year Impact Factor
1.276 - Source Normalized Impact per Paper (SNIP)
1.567 - SCImago Journal Rank (SJR)Usage
6,337,109 Downloads (2021)
5089 Altmetric Mentions