Author Correction: CpG island turnover events predict evolutionary changes in enhancer activity [0.03%]
作者更正：CpG岛周转事件可预测增强子活性的进化变化
Acadia A Kocher,Emily V Dutrow,Severin Uebbing et al.
Acadia A Kocher et al.
Published Erratum
Genome biology. 2025 Oct 22;26(1):363. DOI:10.1186/s13059-025-03834-w 2025
iNOME-seq: in vivo simultaneous genome-wide mapping of chromatin accessibility, nucleosome positioning, DNA-binding protein sites, and DNA methylation in Arabidopsis [0.03%]
iNOME-seq：在阿拉伯芥中同时进行染色体可接近性、核小体定位、DNA结合蛋白位点和DNA甲基化的全基因组测绘的体内方法
Nosheen Hussain,Ryan Merrit,Julia Engelhorn et al.
Nosheen Hussain et al.
We present iNOMe-seq, a novel method for in vivo simultaneous profiling of chromatin accessibility, nucleosome occupancy, DNA-binding protein sites, and DNA methylation in living tissues. iNOMe-seq utilizes an m5C methyltransferase to mark ...
Md Hassan Uz-Zaman,Howard Ochman
Md Hassan Uz-Zaman
Background: The birth of new genes from non-coding sequences has been postulated to be preceded by a proto-gene phase, in which a sequence is translated into protein but does not exhibit hallmarks of a clear function. Des...
Efficient glycosylase-mediated base editing with minimal off-target effects in mammalian embryos [0.03%]
高效的哺乳动物胚胎糖基化酶介导的碱基编辑器具备较少的脱靶效应
Yinghui Wei,Xi Cao,Shuhong Huang et al.
Yinghui Wei et al.
Developing glycosylase-based base editors (gBEs) to broaden the editing scope is highly desirable for biomedical research and agricultural applications. However, the off-target effects and applicability of gBEs need further investigation. W...
Publisher Correction: The genomic footprints of migration: how ancient DNA reveals our history of mobility [0.03%]
出版更正：迁移的基因组痕迹：古DNA如何揭示我们的流动性历史
Matthew P Williams,Christian D Huber
Matthew P Williams
Published Erratum
Genome biology. 2025 Oct 20;26(1):357. DOI:10.1186/s13059-025-03706-3 2025
Cell Decoder: decoding cell identity with multi-scale explainable deep learning [0.03%]
细胞解码器：利用多尺度可解释的深度学习进行细胞身份解码
Jun Zhu,Zeyang Zhang,Yujia Xiang et al.
Jun Zhu et al.
Background: Cells are the fundamental units of life, and understanding their diversity and functionality requires detailed characterization. The rise of single-cell omics data enables this, yet current deep learning appro...
Martin Hemberg,Federico Marini,Shila Ghazanfar et al.
Martin Hemberg et al.
The field of single-cell biology is growing rapidly, generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts such as CZI CELLxGENE, HuBMAP, Broad Institute Single Cell Portal,...
SPAmix: a scalable, accurate, and universal analysis framework for large-scale genetic association studies in admixed populations [0.03%]
SPAmix：一种用于混合人群大规模遗传关联研究的可扩展、准确且通用的分析框架
Yuzhuo Ma,He Xu,Ying Li et al.
Yuzhuo Ma et al.
Background: Inclusion of individuals with diverse or admixed genetic ancestries is crucial to discover novel findings that may be missed by genomics analyses rooted solely in European population. ...
Reference genome bias in light of species-specific chromosomal reorganization and translocations [0.03%]
针对物种特异性染色体重组和易位的参考基因组偏差
Marius F Maurstad,Siv Nam Khang Hoff,José Cerca et al.
Marius F Maurstad et al.
Background: Whole-genome sequencing efforts, have during the past decade, unveiled the central role of genomic rearrangements-such as chromosomal inversions-in evolutionary processes, including local adaptation in a wide ...
sCCIgen: a high-fidelity spatially resolved transcriptomics data simulator for cell-cell interaction studies [0.03%]
sCCIgen：一种高保真的空间分辨转录组数据模拟器用于细胞间相互作用研究
Xiaoyu Song,Joselyn C Chavez-Fuentes,Weiping Ma et al.
Xiaoyu Song et al.
Spatially resolved transcriptomics (SRT) facilitates the study of cell-cell interactions within native tissue environments. To support method development and benchmarking, we introduce sCCIgen, a real-data-based simulator that generates hig...