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

Nattestad, M., Schatz, M. C. (October 2016) Assemblytics: a web analytics tool for the detection of variants from an assembly. Bioinformatics, 32 (19). pp. 3021-3023. ISSN 1367-4811 (Electronic)1367-4803 (Linking)

URL: http://www.ncbi.nlm.nih.gov/pubmed/27318204
DOI: 10.1093/bioinformatics/btw369

Abstract

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.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics
bioinformatics > computational biology
bioinformatics > genomics and proteomics > computers > computer software
CSHL Authors:
Communities: CSHL labs > Schatz lab
Watson School > Publications
Depositing User: Matt Covey
Date: 1 October 2016
Date Deposited: 23 Jun 2016 15:23
Last Modified: 04 Jan 2017 16:41
Related URLs:
URI: http://repository.cshl.edu/id/eprint/32870

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