Struggling with RNA-seq data quality? You're not alone.

In this session (originally aired on LinkedIn Live), we break down the 6 most critical pain points in RNA-seq workflows that every genomics researcher and lab manager needs to know. From Poly(A) selection bias to FFPE sample degradation, rRNA dominance, loss of strand info, PCR duplication artifacts, and input variability — we cover the real-world challenges and practical solutions to help you choose the right RNA-seq method for your research. Whether you work with FFPE tissues, cell-free RNA, LCM samples, or low-input workflows — this video is for you. Don't forget to Like, Subscribe, and hit the Bell icon for more expert insights on genomics and sequencing technologies! #RNAseq #Genomics #Transcriptomics #NGS #NextGenSequencing #FFPE #mRNAseq #TotalRNAseq #Bioinformatics #CancerResearch #MolecularBiology #LifeSciences #LabTips #GenomicsWorkflow #RNAQuality #Sequencing #TakaraBio #LinkedInLive