Latest AI and machine learning research in genetics for healthcare professionals.
SARS-CoV and SARS-CoV-2 bind to the human ACE2 receptor in practically identical conformations, alth...
We developed a method to improve protein thermostability, "loop-walking method". Three consecutive p...
A reliable assessment of the aquifer contamination vulnerability is essential for the conservation a...
Amyloid proteins are implicated in several diseases such as Parkinson's, Alzheimer's, prion diseases...
The dysregulation and mutation of long non-coding RNAs (lncRNAs) have been proved to result in a var...
BACKGROUND: Horizontal gene transfer is the main source of adaptability for bacteria, through which ...
BACKGROUND: The increasing use of whole metagenome sequencing has spurred the need to improve de nov...
BACKGROUND: Understanding the functional effects of non-coding variants is important as they are oft...
Technological advances in recent decades, especially in molecular genetics, have enabled the detecti...
Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuro...
Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can...
An ultrasensitive biosensing platform for DNA and ochratoxin A (OTA) detection is constructed based ...
BACKGROUND: DNA-Binding Proteins (DBP) plays a pivotal role in biological system. A mounting number ...
BACKGROUND: As a common and abundant RNA methylation modification, N6-methyladenosine (mA) is widely...
As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in co...
The design of CRISPR gRNAs requires accurate on-target efficiency predictions, which demand high-qua...
In recent years, various AI-based methods have been developed in order to uncover chemico-biological...
Bacteria are an active and diverse component of pelagic communities. The identification of main fact...
Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with a...
RNA three-dimensional structure prediction has been relied on using a predicted or experimentally de...
Recent developments of single-cell RNA-seq (scRNA-seq) technologies have led to enormous biological ...