A fully open access, peer-reviewed journal published jointly by Oxford University Press and the International Society for Computational Biology.
Joined April 2021
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📊 Latest research in Bioinformatics Advances: "SCpubr: A user-friendly R-package for generating publication-ready visualizations of single-cell transcriptome analyses"
Read more: doi.org/10.1093/bioadv/vbag1…
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All functions return ggplot2 objects with built-in colorblind-safe palette support.
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📦 SCpubr is available on CRAN at cran.r-project.org/package=S…. Source code at github.com/enblacar/SCpubr
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Fuscan is a DNA fusion caller optimized for high-depth targeted sequencing that filters homologous regions and leverages a panel of normals to suppress false positives. Benchmarked on 85 NSCLC clinical specimens, it achieved 100% sensitivity and 99.45% specificity, with an AUC of 0.992.
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🔬 Fuscan is available at github.com/YJmedLab/Fuscan
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🎯 New paper in Bioinformatics Advances: "Fuscan: A robust DNA fusion caller for targeted sequencing data in cancer diagnostics"
Find it at: doi.org/10.1093/bioadv/vbag1…
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🚨LAST CALL for paper submissions to the #LATAM2026 conference!
Accepted papers will be published in an issue of @BioinfoAdv! Authors of accepted papers will also be provided the opportunity to share their paper as an oral presentation!
📅 Submission deadline: Friday, June 12, 2026
Submit here: iscb.org/latam2026/call-for-…
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🦠 New research in Bioinformatics Advances: "vClassifier: A toolkit for high-resolution phylogenetic classification of prokaryotic viruses"
Available at: doi.org/10.1093/bioadv/vbag1…
Authors include: @KarthikGeomicro
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This study introduces vClassifier, which uses taxon-specific single-copy marker genes and reference phylogenetic trees to assign prokaryotic virus taxonomy at the subfamily, genus, and species levels. Integrating phylogenetic placement with average nucleotide identity achieves over 92% congruence with NCBI species classifications.
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🧰 vClassifier is available at github.com/AnantharamanLab/v…
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🔬 Just published in Bioinformatics Advances: "metaAPA: A tool for integration of polyA site predictions from single-cell and spatial transcriptomics"
Full text: doi.org/10.1093/bioadv/vbag1…
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This study presents metaAPA, a framework integrating polyA site predictions from multiple APA tools for scRNA-seq and spatial transcriptomics. Position-based and similarity-based clustering strategies both recover high-confidence sites with expected polyadenylation sequence characteristics.
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🧬 New in Bioinformatics Advances: "Pylluminator: Fast and scalable analysis of DNA methylation data in Python"
Read it here: doi.org/10.1093/bioadv/vbag1…
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This study introduces Pylluminator, a Python toolkit for Illumina methylation array analysis covering pre-processing, QC, differential methylation, and visualization. Built on SeSAMe and ChAMP, it supports all major array versions and outperforms existing R packages in speed.
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🐍 Pylluminator is available at github.com/eliopato/pyllumin…. Documentation at pylluminator.readthedocs.io/
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🎯 New in Bioinformatics Advances: "TransPilot: Mining key transcription factors by correlating binding sites with differentially expressed genes"
See it here: doi.org/10.1093/bioadv/vbag1…
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Benchmarked on macrophage polarization data, it outperformed SCENIC, VIPER, and ChEA3 across the majority of tested transcription factors.
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🖥️ The TransPilot server is available at thua45.cn/transpilot.
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