Related Experiment Video
Updated: Jun 7, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
AnnoMate: Exploring and annotating integrated molecular data through custom interactive visualizations
Claudia Chu1, Conor Messer1, Samantha Van Seters1
1Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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 AnnoMate, 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.
More Related Videos
Related Concept Videos
Genome Annotation and Assembly
DNA Microarrays

