Unknown

Dataset Information

0

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


ABSTRACT:

Unlabelled

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.

SUBMITTER: Nattestad M 

PROVIDER: S-EPMC6191160 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Nattestad Maria M   Schatz Michael C MC  

Bioinformatics (Oxford, England) 20160617 19


<h4>Unlabelled</h4>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 interacti  ...[more]

Similar Datasets

| S-EPMC7300248 | biostudies-literature
| S-EPMC5975414 | biostudies-literature
| S-EPMC2288614 | biostudies-literature
| S-EPMC6409513 | biostudies-literature
2024-03-24 | GSE228266 | GEO
2023-09-14 | GSE205293 | GEO
| S-EPMC3348018 | biostudies-literature
| S-EPMC7479587 | biostudies-literature
2023-09-14 | GSE205288 | GEO
2023-09-14 | GSE205289 | GEO