Your browser doesn't support javascript.
loading
ULTRA-Effective Labeling of Repetitive Genomic Sequence.
Olson, Daniel R; Wheeler, Travis J.
Affiliation
  • Olson DR; Department of Computer Science, University of Montana, Missoula, MT, USA.
  • Wheeler TJ; Department of Computer Science, University of Montana, Missoula, MT, USA.
bioRxiv ; 2024 Jun 04.
Article in En | MEDLINE | ID: mdl-38895435
ABSTRACT
In the age of long read sequencing, genomics researchers now have access to accurate repetitive DNA sequence (including satellites) that, due to the limitations of short read sequencing, could previously be observed only as unmappable fragments. Tools that annotate repetitive sequence are now more important than ever, so that we can better understand newly uncovered repetitive sequences, and also so that we can mitigate errors in bioinformatic software caused by those repetitive sequences. To that end, we introduce the 1.0 release of our tool for identifying and annotating locally-repetitive sequence, ULTRA (ULTRA Locates Tandemly Repetitive Areas). ULTRA is fast enough to use as part of an efficient annotation pipeline, produces state-of-the-art reliable coverage of repetitive regions containing many mutations, and provides interpretable statistics and labels for repetitive regions. It released under an open license, and available for download at https//github.com/TravisWheelerLab/ULTRA.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: United States