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NAR Genomics and Bioinformatics|February 15, 2023
HyperVR: a hybrid deep ensemble learning approach for simultaneously predicting virulence factors and antibiotic resistance genesBoya Ji, Wending Pi, Wenjuan Liu, et al.
NAR Genomics and Bioinformatics|February 3, 2023
Self- and cross-attention accurately predicts metabolite-protein interactionsPedro Alonso Campana, Zoran Nikoloski
NAR Genomics and Bioinformatics|March 14, 2023
Characterization of proteome profile data of chemicals based on data-independent acquisition MS with SWATH methodHiromu Ishiguro, Tadahaya Mizuno, Yasuo Uchida, et al.
NAR Genomics and Bioinformatics|March 7, 2023
Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq dataMelania Franchini, Simona Pellecchia, Gaetano Viscido, et al.
NAR Genomics and Bioinformatics|March 7, 2023
cgRNASP: coarse-grained statistical potentials with residue separation for RNA structure evaluationYa-Lan Tan, Xunxun Wang, Shixiong Yu, et al.
NAR Genomics and Bioinformatics|March 7, 2023
SelectBCM tool: a batch evaluation framework to select the most appropriate batch-correction methods for bulk transcriptome analysisMadhulika Mishra, Lucas Barck, Pablo Moreno, et al.
NAR Genomics and Bioinformatics|November 16, 2022
Distinct chromosomal "niches" in the genome of Saccharomyces cerevisiae provide the background for genomic innovation and shape the fate of gene duplicatesAthanasia Stavropoulou, Emilios Tassios, Maria Kalyva, et al.
NAR Genomics and Bioinformatics|November 17, 2025
Analysis of long-range contacts across cell types outlines a core sequence determinant of 3D genome organizationLiezel Tamon, Zahra Fahmi, James Ashford, et al.
NAR Genomics and Bioinformatics|November 13, 2025
Simultaneously infer cell pseudotime, velocity field, and gene interaction from multi-branch scRNA-seq data with scPNZhen Zhou, Jiachen Li, Hongyi Xin, et al.
NAR Genomics and Bioinformatics|November 24, 2025
Accurate sample deconvolution of pooled snRNA-seq using sex-dependent gene expression patternsGuy M Twa, Robert A Phillips, Nathaniel J Robinson, et al.
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