Journal: Computational and Structural Biotechnology Journal
Article Title: RNA-seq-derived sequence variations are excellent features for cell line identification
doi: 10.1016/j.csbj.2025.10.039
Figure Lengend Snippet: Clustering of cell lines by poly-A enriched RNA-seq-derived sequence variations. A Relation between detected sequence variations and mapped reads. B Histogram showing the number of variations shared by a certain amount of samples. C Hierarchical clustering of samples based on sequence variations.
Article Snippet: Library preparation (Poly(A) tail RNA selection) and RNA sequencing (total RNA amount ≥ 0.2 μ g) were performed by Novogene (Munich, Germany) on a NovaSeq X Plus Series system (Illumina, San Diego, USA).
Techniques: RNA Sequencing, Derivative Assay, Sequencing