Understand the stages of a standard RNA-seq bioinformatics workflow, including the role of QC, alignment, gene expression quantification, and specialized application analyses Identify key QC metrics ...
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 ...
The internal cohort consisted of formalin-fixed, paraffin-embedded (FFPE) tissue blocks from 365 patient samples (Supplementary Table 1). For 313 patients, FFPE blocks from the clinical program were ...
Recent advancements in single-cell RNA sequencing (scRNA-seq) technology have unlocked novel opportunities for deep exploration of gene expression patterns. However, the inherent high dimensionality, ...
A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...
Researchers from Children's Hospital of Philadelphia (CHOP) developed a new RNA sequencing strategy that can reveal how genetic variants disrupt gene function and improve the diagnosis of rare ...
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