RNA sequencing (RNA-seq) is a powerful transcriptomics approach for measuring differential gene expression (DGE) across the genome with remarkable sensitivity and scale. Yet conventional RNA-seq ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
This eBook explores advances in RNA sequencing (RNA-seq), with key content from BioTechniques’ digital hub and Taylor & Francis journals, Biotechnology and Genetic Engineering Reviews, Immunological ...
Single-cell transcriptomics has revolutionized our understanding of cellular diversity by enabling gene expression analysis at the individual cell level. This brief webinar will provide an overview of ...
Trends in liver metastases at diagnosis among young adults with colorectal cancer: A SEER-based analysis, 2010–2022. Genotype-directed targeted therapy combined with HAIC and tislelizumab for ...
Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...
The liver is remarkable for its ability to regenerate after injury, yet when this process fails, acute liver failure (ALF) carries devastating outcomes. Traditional research methods, reliant on bulk ...
In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...
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