Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.09.28.317594v1?rss=1 Authors: Baharlouei, S., Razaviyayn, M., Tseng, E., Tse, D. Abstract: Long-read sequencing technologies demonstrate high potential for de novo discovery of complex transcript isoforms, but high error rates pose a significant challenge. Existing error correction methods rely on clustering reads based on isoform-level alignment and cannot be efficiently scaled. We propose a new method, I-CONVEX, that performs fast, alignment-free isoform clustering with almost linear computational complexity, and leads to better consensus accuracy on simulated, synthetic, and real datasets. Copy rights belong to original authors. Visit the link for more info