Single-cell technologies Guest edited by David Casero and
Baohua Wang
Big Data and Machine Learning in Bioinformatics and Medical Informatics Guest edited by Frank Eisenhanber, Somali Chaterji, Khanh N.Q Le and Placide Poba-Nzaou.
Collections open to submissions
Editor's Pick
Articles
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Single-cell spatial explorer: easy exploration of spatial and multimodal transcriptomics
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Ion-pumping microbial rhodopsin protein classification by machine learning approach
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Gdaphen, R pipeline to identify the most important qualitative and quantitative predictor variables from phenotypic data
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nf-core/circrna: a portable workflow for the quantification, miRNA target prediction and differential expression analysis of circular RNAs
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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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