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Easy Method to Perform RNA Sequencing Data Analysis

High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
EurekAlert!

Deciphering the regulatory programs of RNA binding proteins in rheumatoid arthritis through single-cell transcriptome analysis

Announcing a new publication for Acta Materia Medica journal. Single-cell RNA sequencing (scRNA-seq) data from published datasets were obtained to investigate the expression and dysregulation of ...
Baylor College of Medicine

Baylor researchers develop and validate clinical diagnostic RNA sequencing test

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...
ascopubs.org

Integration of next-generation RNA sequencing-based MammaPrint and BluePrint analysis in clinical decision making: Performance evaluation in the first 1095 cases.

Adjuvant abemaciclib outcomes in routine clinical practice (experience of several Moscow centers). This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include ...
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spVelo: A New Method for Integrating Spatial and Temporal Data in RNA Velocity Analysis

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are actively expressed at any given time in a cell determines what type of cell it ...