Genetics research is unlocking new ways to analyze RNA expression, predict disease risk, and refine diagnostic tools. From AI-driven cancer detection to optimizing long-read sequencing for mitochondrial DNA, these studies offer valuable insights for advancing precision medicine and genomic research.
Stay at the forefront of innovation with these trending articles in Frontiers in Genetics and apply the latest discoveries to your work.
How do computational tools transform raw RNA-seq data into meaningful biological insights amidst technical challenges? Find out in this review.
How do human leukocyte antigen genes, crucial for the immune system, vary among global populations? This study reveals their complex distribution influenced by human migrations.
This study evaluates the effectiveness of AlphaFold structure-based stability prediction tools and confidence scores on predicting pathogenic missense variants in 26 hereditary cancer genes.
This study uses advanced deep learning techniques called graph neural networks to accurately predict associations between lncRNAs and drugs, aiding in the development of lncRNA-targeted therapies.
This study compares shallow and deep convolutional neural network approaches for detecting breast cancer in mammogram images, finding that deep networks with fine-tuning achieve higher accuracy than shallow networks.
This review iexplores how transcriptomics – analyzing RNA expression – can enhance precision in diagnosing diseases like cancer and sepsis. It highlights its potential and challenges in integrating gene expression data for clinical diagnostics.
This study suggests that the concept of "ancestry" in genetics research is ambiguously defined and inconsistently applied. It highlights the need for clearer distinctions between genetic ancestry and broader definitions of ancestry.
This study demonstrates the optimization of Oxford Nanopore long-read sequencing protocols for effectively detecting large-scale structural alterations in mitochondrial DNA, offering advantages over short-read NGS and traditional methods.
Read other impactful articles published in Frontiers in Genetics.