Latest AI and machine learning research in genetics for healthcare professionals.
The increasing single-cell RNA sequencing (scRNA-seq) data enable researchers to explore cellular he...
Transcriptional factors (TFs) in bacteria play a crucial role in gene regulation by binding to speci...
Decoding DNA methylation sites through nanopore sequencing has emerged as a cutting-edge technology ...
The recent development of artificial intelligence (AI) technology, especially the advance of deep ne...
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for elucidating cellular heterogeneity and...
RNA 2'-O-methylation (Nm) is a crucial post-transcriptional modification with significant biological...
Rice consistently faces significant threats from biotic stresses, such as fungi, bacteria, pests, an...
Spatial multi-modal omics technology, highlighted by Nature Methods as an advanced biological tech...
Emergence during mammalian evolution of concordant and divergent traits of genomic regulatory netw...
As Autonomous driving systems (ADS) have transformed our daily life, safety of ADS is of growing s...
The discovery of CRISPR-mediated gene activation (CRISPRa) has transformed the way in which we per...
Accurate sample classification using transcriptomics data is crucial for advancing personalized me...
Epigenetics plays a key role in cellular differentiation and maintaining cell identity, enabling c...
Since the advent of CRISPR-Cas9, a groundbreaking gene-editing technology that enables precise gen...
Age-related macular degeneration (AMD) is a major cause of blindness in older adults, severely aff...
In the realm of drug discovery, DNA-encoded library (DEL) screening technology has emerged as an e...
Epigenetic inheritance of heterochromatin requires transfer of parental H3-H4 tetramers to both daug...
Introduction: Deep learning models hold great promise for digital pathology, but their opaque deci...
There is no general consensus on the set of mutations capable of driving the age-related clonal expa...
We exploit the widening margin in tensor-core performance between [FP64/FP32/FP16/INT8,FP64/FP32/F...
Computational Pangenomics is an emerging field that studies genetic variation using a graph struct...