Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2023.04.20.537673v1?rss=1
Authors: Jha, A., Bohaczuk, S. C., Mao, Y., Ranchalis, J., Mallory, B. J., Min, A. T., Hamm, M. O., Swanson, E., Finkbeiner, C., Li, T., Whittington, D., Noble, W. S., Stergachis, A. B., Vollger, M. R.
Abstract:
Single-molecule chromatin fiber sequencing is based on the single-nucleotide resolution identification of DNA N6-methyladenine (m6A) along individual sequencing reads. We present fibertools, a semi-supervised convolutional neural network that permits the fast and accurate identification of both endogenous and exogenous m6A-marked bases using single-molecule long-read sequencing. Fibertools enables highly accurate ( greater than 90% precision and recall) m6A identification along multi-kilobase DNA molecules with a ~1,000-fold improvement in speed and the capacity to generalize to new sequencing chemistries.
Copy rights belong to original authors. Visit the link for more info
Podcast created by Paper Player, LLC
