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Assemblytics: a web analytics tool for the detection of variants from an assembly

Author:
Nattestad, Maria, Schatz, Michael C.
Source:
Bioinformatics 2016 v.32 no.19 pp. 3021-3023
ISSN:
1460-2059
Subject:
bioinformatics, genome, genome assembly, genomics, humans, neoplasms
Abstract:
Summary: Assemblytics is a web app for detecting and analyzing variants from a de novo genome assembly aligned to a reference genome. It incorporates a unique anchor filtering approach to increase robustness to repetitive elements, and identifies six classes of variants based on their distinct alignment signatures. Assemblytics can be applied both to comparing aberrant genomes, such as human cancers, to a reference, or to identify differences between related species. Multiple interactive visualizations enable in-depth explorations of the genomic distributions of variants. Availability and Implementation: http://assemblytics.com, https://github.com/marianattestad/assemblytics Contact: mnattest@cshl.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Agid:
6247458