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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CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning
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Constrained Fourier estimation of short-term time-series gene expression data reduces noise and improves clustering and gene regulatory network predictions
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SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing
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TMbed: transmembrane proteins predicted through language model embeddings
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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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High resolution biology
High-resolution imaging and genomic technologies are changing the way we view the environment, cells, chromosomes and molecules. Here we share recent highlights from the BMC Series journals.
BMC Series Blog
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Highlights of the BMC Series – June 2022
22 July 2022
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Highlights of the BMC Series – May 2022
21 June 2022
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Citation Impact
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4.341 - 5-year Impact Factor (2021)
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