Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Recent research recommends that epi-transcriptome regulation through post-transcriptiona...
Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. H...
The availability of new artificial intelligence-based protein-structure-prediction tools has radical...
Human epigenome and transcription activities have been characterized by a number of sequence-based d...
As a simple and programmable nuclease-based genome editing tool, the CRISPR/Cas9 system has been wid...
Piwi-interacting RNAs (piRNAs) are a distinct sub-class of small non-coding RNAs that are mainly res...
Analog DNA strand displacement circuits can be used to build artificial neural network due to the co...
Machine Learning (ML) approaches are increasingly being used in biomedical applications. Important c...
Mutational signatures help identify cancer-associated genes that are being involved in tumorigenesis...
With the rapid development of computer graphics, 3D animation has been applied to all fields of peop...
In higher eukaryotic cells, chromosomes are folded inside the nucleus. Recent advances in whole-geno...
Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an ir...
Identifying druggable ligand-binding sites on the surface of the macromolecular targets is an import...
Locating the promoter region in DNA sequences is of paramount importance in bioinformatics. This pro...
As part of the ongoing bacterial-phage arms race, CRISPR-Cas systems in bacteria clear invading phag...
Nonlinear DNA signal amplification with an enzyme-free isothermal self-assembly process is uniquely ...
As the presentation form of the web, web pages contain a lot of important information in web design....
High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by...
Tumors are complex tissues of cancerous cells surrounded by a heterogeneous cellular microenvironmen...
Hebbian theory seeks to explain how the neurons in the brain adapt to stimuli to enable learning. An...
DNA-based data storage platforms traditionally encode information only in the nucleotide sequence of...