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

Maria Nattestad | Zendy; Michael C. Schatz | Zendy

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

Author(s) -

Maria Nattestad,

Michael C. Schatz

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw369

Subject(s) - genome , robustness (evolution) , computer science , analytics , sequence assembly , computational biology , human genome , reference genome , web application , visualization , data mining , biology , world wide web , genetics , gene , gene expression , transcriptome

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.

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