Total RNA, depleted of ribosomal RNA, is commonly used for RNA sequencing to capture both polyadenylated and non-polyadenylated transcripts, whereas poly(A) tail-targeting protocols can either enrich ...

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 ...

Researchers at the University of Basel have released RNAmel, an open-source R/Shiny platform that combines a clickable bulk ...

Single-cell RNA sequencing has emerged as one of the most important technologies for studying the transcriptome of individual cells at high resolution. One of the key tools in this space, Illumina’s ...

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November 20, 2024 – Genome Research (https://genome.org) publishes a special issue highlighting advances in long-read sequencing applications in biology and medicine. In this first of two Special ...

A new computational model combines attention, sequence modeling, and structure-aware pretraining to predict microRNA binding ...

The interaction between cancer cells and the immune microenvironment leads to immune reprogramming and metastasis. Cancer immunoediting facilitates tumor escape from immune destruction, consequently ...

ALBANY, N.Y. (July 6, 2026) — RNA and DNA are molecular cousins. Both carry biological instructions and both are built from four basic building blocks. They also have their differences. One of these ...

A new AI-based tool identifies potential microRNA binding sites across circular RNA molecules, including regions conventional ...