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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6455
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
Xiang Zhu,Shining Ma,Wing Hung Wong Xiang Zhu
Background: The vast majority of findings from human genome-wide association studies (GWAS) map to non-coding sequences, complicating their mechanistic interpretations and clinical translations. Non-coding sequences that ...
Charles E Breeze,Eric Haugen,María Gutierrez-Arcelus et al. Charles E Breeze et al.
The majority of disease-associated variants identified through genome-wide association studies are located outside of protein-coding regions. Prioritizing candidate regulatory variants and gene targets to identify potential biological mecha...
George Hunt,Roshan Vaid,Sergei Pirogov et al. George Hunt et al.
Background: Formation of tissue-specific transcriptional programs underlies multicellular development, including dorsoventral (DV) patterning of the Drosophila embryo. This involves interactions between transcriptional en...
Landen Gozashti,Hopi E Hoekstra Landen Gozashti
Transposable elements (TEs) are important drivers of genome evolution. Nonetheless, TE annotation remains a complex and challenging task. As more genomes from phylogenetically diverse species are published, a comprehensive pipeline for accu...
Shi-Tong Yang,Xiao-Fei Zhang Shi-Tong Yang
Imaging-based spatial transcriptomics techniques provide valuable spatial and gene expression information at single-cell resolution. However, their current capability is restricted to profiling a limited number of genes per sample, resultin...
Cathy Smith,Jacob O Kitzman Cathy Smith
Background: Variants that disrupt mRNA splicing account for a sizable fraction of the pathogenic burden in many genetic disorders, but identifying splice-disruptive variants (SDVs) beyond the essential splice site dinucle...
Noé Cochetel,Andrea Minio,Andrea Guarracino et al. Noé Cochetel et al.
Background: Capturing the genetic diversity of wild relatives is crucial for improving crops because wild species are valuable sources of agronomic traits that are essential to enhance the sustainability and adaptability ...
Biqing Zhu,Yuge Wang,Li-Ting Ku et al. Biqing Zhu et al.
Many deep learning-based methods have been proposed to handle complex single-cell data. Deep learning approaches may also prove useful to jointly analyze single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scT...