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Genome Biology|August 17, 2021
Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequencesFan Cao, Yu Zhang, Yichao Cai, et al.Genome Biology|August 17, 2021
Retrotransposons as pathogenicity factors of the plant pathogenic fungus Botrytis cinereaAntoine Porquier, Constance Tisserant, Francisco Salinas, et al.Genome Biology|August 18, 2021
Quantifying the phase separation property of chromatin-associated proteins under physiological conditions using an anti-1,6-hexanediol indexMinglei Shi, Kaiqiang You, Taoyu Chen, et al.Genome Biology|November 7, 2022
Mapping responsive genomic elements to heat stress in a maize diversity panelZhikai Liang, Zachary A Myers, Dominic Petrella, et al.Genome Biology|November 8, 2022
Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napusZengdong Tan, Yan Peng, Yao Xiong, et al.Genome Biology|December 2, 2025
Evaluation of false positive and false negative errors in targeted next generation sequencingYoungbeen Moon, Young-Ho Kim, Jong-Kwang Kim, et al.Genome Biology|January 22, 2026
Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer typesMinghan Li, Yuqing Su, Yizhou Tang, et al.Genome Biology|January 28, 2026
Unveiling the early defense response dynamics in grapevines against Plasmopara viticola by single-cell transcriptomicsXiukun Yao, Zhizhuo Xu, Yasheng Xi, et al.Genome Biology|January 31, 2026
MER57E3 transposable elements regulate gene expression in a human cell model of neural developmentMichelle Almeida da Paz, Umut Yildiz, Minyoung Kim, et al.Genome Biology|January 28, 2026
Accurate variant effect estimation in FACS-based deep mutational scanning data with LilaceJerome Freudenberg, Jingyou Rao, Matthew K Howard, et al.Pageof 642