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)
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 School of Biological Sciences > Publications |
| Depositing User: | Matt Covey |
| Date: | 1 October 2016 |
| Date Deposited: | 23 Jun 2016 15:23 |
| Last Modified: | 08 Jul 2021 15:22 |
| PMCID: | PMC6191160 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/32870 |
Actions (login required)
 |
Administrator's edit/view item |
