AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39569208.
- Also identified by DOI 10.1016/j.patter.2024.101060 and PMC identifier 11574283.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Manual review is an integral part of any study. As the cost of data generation continues to decrease, the rapid rise in large-scale multi-omic studies calls for a modular, flexible framework to perform what is currently a tedious, error-prone process. We developed <i>AnnoMate</i>, a Python-based package built with Plotly Dash that creates interactive, highly customizable dashboards for reviewing and annotating data. Its object-oriented framework enables easy development and modification of custom dashboards for specific manual review tasks. We utilized this framework to implement "reviewer" dashboards for various tasks often performed in cancer genome sequencing studies.