DivBrowse-interactive visualization and exploratory data analysis of variant call matrices.

ABSTRACT:

Background

The sequencing of whole genomes is becoming increasingly affordable. In this context, large-scale sequencing projects are generating ever larger datasets of species-specific genomic diversity. As a consequence, more and more genomic data need to be made easily accessible and analyzable to the scientific community.

Findings

We present DivBrowse, a web application for interactive visualization and exploratory analysis of genomic diversity data stored in Variant Call Format (VCF) files of any size. By seamlessly combining BLAST as an entry point together with interactive data analysis features such as principal component analysis in one graphical user interface, DivBrowse provides a novel and unique set of exploratory data analysis capabilities for genomic biodiversi

SUBMITTER: Konig P 

PROVIDER: S-EPMC10120423 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature