| Literature DB >> 30016509 |
Caralyn Reisle1, Karen L Mungall1, Caleb Choo1, Daniel Paulino1, Dustin W Bleile1, Amir Muhammadzadeh1, Andrew J Mungall1, Richard A Moore1, Inna Shlafman1, Robin Coope1, Stephen Pleasance1, Yussanne Ma1, Steven J M Jones1,2,3.
Abstract
Summary: Reliably identifying genomic rearrangements and interpreting their impact is a key step in understanding their role in human cancers and inherited genetic diseases. Many short read algorithmic approaches exist but all have appreciable false negative rates. A common approach is to evaluate the union of multiple tools increasing sensitivity, followed by filtering to retain specificity. Here we describe an application framework for the rapid generation of structural variant consensus, unique in its ability to visualize the genetic impact and context as well as process both genome and transcriptome data. Availability and implementation: http://mavis.bcgsc.ca. Supplementary information: Supplementary data are available at Bioinformatics online.Entities:
Mesh:
Year: 2019 PMID: 30016509 DOI: 10.1093/bioinformatics/bty621
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937