Candidate disease gene prediction
-
Genome-wide association studies (GWAS) have identified over 56 susceptibility loci associated with Alzheimer’s disease (AD), but the genes responsible for these associations remain largely unknown.
11p vibransone 28-03-2024 9 2 Download
-
Candidate disease gene prediction is a rapidly developing area of bioinformatics research with the potential to deliver great benefits to human health. As experimental studies detecting associations between genetic intervals and disease proliferate, better bioinformatic techniques that can expand and exploit the data are required.
9p viwyoming2711 16-12-2020 14 1 Download
-
Accurately prioritizing candidate disease genes is an important and challenging problem. Various network-based methods have been developed to predict potential disease genes by utilizing the disease similarity network and molecular networks such as protein interaction or gene co-expression networks.
13p vioklahoma2711 19-11-2020 3 0 Download
-
Fusarium species cause considerable crop losses worldwide and necessitate an expensive use of chemical pesticides. Resistant genes can be used to improve plant resistance through gene editing and gene silencing strategies. Currently, information on host defences against Fusarium species is limited. Through in-silico tools, identification of genes and understanding of disease resistance mechanism has become possible.
19p kethamoi4 16-04-2020 24 2 Download