A novel approach to analyzing single-cell RNA sequencing (scRNA-seq) data has been unveiled by researchers. This method promises to enhance both the precision and speed of data interpretation, ...
This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...
Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With the ...
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 ...
Produced in Partnership with RNA ConnectReviewed by Maria OsipovaOct 10 2025 The UltraMarathonRT ® cDNA Synthesis and Amplification Kit delivers a comprehensive approach for copying polyA+ RNA into ...
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