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期刊名:Genome biology

缩写:GENOME BIOL

ISSN:1474-760X

e-ISSN:1474-760X

IF/分区:9.4/Q1

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共收录本刊相关文章索引6621
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Koto Kon-Nanjo,Tetsuo Kon,Tracy Chih-Ting Koubkova Yu et al. Koto Kon-Nanjo et al.
Background: Many metazoan genomes are characterized by highly conserved chromosomal homologies that predate the ancient origin of this clade. This conservation has been tested by expansions of selfish DNA elements, in par...
Luc Cornet,Syed Shan-E-Ali Zaidi,Jia Li et al. Luc Cornet et al.
Background: Cassava is an important crop for food security in the tropics where its production is jeopardized by several viral diseases, including the cassava mosaic disease (CMD) which is endemic in Sub-Saharan Africa an...
Kelly Yichen Li,Qin Cao,Savio Ho-Chit Chow et al. Kelly Yichen Li et al.
Background: Transcriptional enhancers usually, but not always, regulate genes within the same topologically associating domain (TAD). We hypothesize that this incomplete insulation is partially due to three-dimensional st...
Carla Molins-Pitarch,Jonathan Khao,Santiago Bonet et al. Carla Molins-Pitarch et al.
Advances in the field of three-dimensional (3D) genomics have revealed an ever-expanding array of architectural features that were unknown only a few years ago. Just as ribbon diagrams integrate spatial and symbolic representation to commun...
Jeremy A Arbesfeld,Estelle Y Da,James S Stevenson et al. Jeremy A Arbesfeld et al.
Background: Experimental data from functional assays have a critical role in interpreting the impact of genetic variants. Assay data must be unambiguously mapped to a reference genome to make it accessible, but it is ofte...
Xiang Wang,Wei Vivian Li,Hongwei Li Xiang Wang
Advances in spatial transcriptomics demand new tools to integrate data across tissue slices and identify consistent spatial domains. We introduce spCLUE, a comprehensive framework combining multi-view graph network, contrastive learning, at...
Qifei Wang,He Zhu,Yiwen Hu et al. Qifei Wang et al.
Machine learning methods, especially Transformer architectures, have been widely employed in single-cell omics studies. However, interpretability and accurate representation of out-of-distribution (OOD) cells remains challenging. Inspired b...
Joaquin Reyna,Kyra Fetter,Romeo Ignacio et al. Joaquin Reyna et al.
HiChIP enables cost-effective and high-resolution profiling of chromatin loops. To leverage the increasing number of HiChIP datasets, we develop Loop Catalog ( https://loopcatalog.lji.org ), a web-based database featuring loop calls from ov...
Anne Rademacher,Alik Huseynov,Michele Bortolomeazzi et al. Anne Rademacher et al.
Background: Spatial transcriptomics technologies are revolutionizing our understanding of intra-tumor heterogeneity and the tumor microenvironment by revealing single-cell molecular profiles within their spatial tissue co...
Yuxuan Wu,Fuchou Tang Yuxuan Wu
Single-cell RNA sequencing has revolutionized cellular heterogeneity research, but analyzing the abundance of unannotated public datasets remains challenging. We present scExtract, a framework leveraging large language models to automate sc...