Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications [0.03%]
Introme 准确预测编码和非编码变异对基因剪接的影响及其临床应用价值
Patricia J Sullivan,Velimir Gayevskiy,Ryan L Davis et al.
Patricia J Sullivan et al.
Predicting the impact of coding and noncoding variants on splicing is challenging, particularly in non-canonical splice sites, leading to missed diagnoses in patients. Existing splice prediction tools are complementary but knowing which to ...
RabbitTClust: enabling fast clustering analysis of millions of bacteria genomes with MinHash sketches [0.03%]
兔兔TClust：基于最小哈希算法实现千万量级细菌基因组的快速聚类分析
Xiaoming Xu,Zekun Yin,Lifeng Yan et al.
Xiaoming Xu et al.
We present RabbitTClust, a fast and memory-efficient genome clustering tool based on sketch-based distance estimation. Our approach enables efficient processing of large-scale datasets by combining dimensionality reduction techniques with s...
Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data [0.03%]
基于标记基因的细胞类型解卷积的空间转录组学数据的概率模型 Celloscope
Agnieszka Geras,Shadi Darvish Shafighi,Kacper Domżał et al.
Agnieszka Geras et al.
Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells. Therefore, the observed signal ...
Phenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humans [0.03%]
表观基因组分析鉴定出亲本印记甲基化与人类衰老速度相关性
Chenhao Gao,Carmen Amador,Rosie M Walker et al.
Chenhao Gao et al.
Background: The variation in the rate at which humans age may be rooted in early events acting through the genomic regions that are influenced by such events and subsequently are related to health phenotypes in later life...
Publisher Correction: Modeling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data [0.03%]
出版更正：单细胞RNA测序假批量数据中 modelling group heteroscedasticity 的建模
Yue You,Xueyi Dong,Yong Kiat Wee et al.
Yue You et al.
Published Erratum
Genome biology. 2023 May 12;24(1):112. DOI:10.1186/s13059-023-02965-2 2023
Cross-phyla protein annotation by structural prediction and alignment [0.03%]
基于结构预测和序列比对的多门类蛋白质注释方法
Fabian Ruperti,Nikolaos Papadopoulos,Jacob M Musser et al.
Fabian Ruperti et al.
Background: Protein annotation is a major goal in molecular biology, yet experimentally determined knowledge is typically limited to a few model organisms. In non-model species, the sequence-based prediction of gene ortho...
Tamsin E M Jones,Bethan Yates,Bryony Braschi et al.
Tamsin E M Jones et al.
The Vertebrate Gene Nomenclature Committee (VGNC) was established in 2016 as a sister project to the HUGO Gene Nomenclature Committee, to approve gene nomenclature in vertebrate species without an existing dedicated nomenclature committee. ...
Genetic basis of geographical differentiation and breeding selection for wheat plant architecture traits [0.03%]
小麦株型地理分化及育种选择的遗传基础
Yangyang Liu,Kuocheng Shen,Changbin Yin et al.
Yangyang Liu et al.
Background: Plant architecture associated with increased grain yield and adaptation to the local environments is selected during wheat (Triticum aestivum) breeding. The internode length of individual stems and tiller leng...
Decoding enhancer complexity with machine learning and high-throughput discovery [0.03%]
运用机器学习和高通量鉴定解析增强子的复杂性
Gabrielle D Smith,Wan Hern Ching,Paola Cornejo-Páramo et al.
Gabrielle D Smith et al.
Enhancers are genomic DNA elements controlling spatiotemporal gene expression. Their flexible organization and functional redundancies make deciphering their sequence-function relationships challenging. This article provides an overview of ...
Genome-wide association analysis reveals a novel pathway mediated by a dual-TIR domain protein for pathogen resistance in cotton [0.03%]
全基因组关联分析揭示了棉花中由双TIR结构域蛋白介导的新的抗病通路
Yihao Zhang,Yaning Zhang,Xiaoyang Ge et al.
Yihao Zhang et al.
Background: Verticillium wilt is one of the most devasting diseases for many plants, leading to global economic loss. Cotton is known to be vulnerable to its fungal pathogen, Verticillium dahliae, yet the related genetic ...