Diffuse midline glioma (DMG) is a highly aggressive and fatal pediatric high-grade glioma that primarily affects critical ...

In this article, we’ll briefly discuss several RNA-seq workflows, how they differ, and the advantages and drawbacks of each. Regardless of the method you choose, every RNA-seq project begins with ...

A new statistical technique developed by a researcher at the Texas A&M University School of Public Health and colleagues ...

RNA sequencing (RNA-seq) is a powerful tool for molecular biologists looking for what drives mechanisms of disease. 1 RNA-seq is routinely used for both research and clinical applications in diseases ...

RNA-sequencing has become a cornerstone in the study of gene expression, offering insights beyond mere mRNA transcript ...

RNA sequencing (RNA-Seq) uses NGS to profile the transcriptome ... Techniques such as bisulfite sequencing (for DNA methylation) and ChIP-Seq (for histone modifications) have been developed to map ...

and REAP-seq (RNA expression and protein sequencing assay) to investigate the relationship between RNA transcripts and proteins, and identify new cell types and cell states associated with disease.

The Kushal Dey Lab focuses on developing machine learning models and computational pipelines that integrate genomic and epigenomic data from RNA-seq, ChiP-seq, Perturb-seq and spatial transcriptomic ...

Using cells from human breast cancers and mouse breast cancer models, researchers believe they have significant new evidence that cancer cells exposed to low-oxygen have an advantage when it comes to ...

We also offer RNA integrity, DNA fragment and sequencing library analysis using our Bioanalyser. Initially set up as an Affymetrix-accredited laboratory to run an Affymetrix Gene Chip Microarray ...

RNA modulates transcription factor binding to DNA, though the subsequent effect on transcription remains unclear. The study ...