Exploring the unreferenced cancer transcriptome with k-mers

Exploring the unreferenced cancer transcriptome with k-mers

SémIdeev
 24/01/2025
 12:00:00
 Daniel Gautheret - UP Saclay, I2BC
 IDEEV - Salle Rosalind Franklin

Current transcriptomics methods fail to capture the huge diversity of RNAs within cells. This is particularly critical in cancer, where abnormal transcripts play a decisive role. I will present novel approaches for representing RNA-seq data, enabling biologists to explore the full spectrum of RNA variation.