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BioinformaticsJournal of Proteome Research
Peer-reviewed journal article

EasyFigAssembler: Enhance Omics Data Storytelling through Effective Figure Assembly

Nguyen Phuoc LongiD, Nguyen Quang Thu

Abstract

MotivationAn effective figure helps communicate the data and findings clearly. The assembly of multi-panel omics-based figures for scientific publications is a time-consuming and error-prone process that often requires specialized software and skills. However, there is a lack of a quick and effective tool for assembling complex omics-based figures. ResultsWe present EasyFigAssembler, a user-friendly web application that significantly simplifies and accelerates the making of multi-panel omics-based figures. The app supports non-destructive panel editing, multi-figure project management, and high-resolution export to TIFF, PDF, PNG, and JPEG formats, providing a complete solution for figure assembly without requiring programming expertise. Its Smart Layout feature automates the initial arrangement of panels into optimal, publication-ready grids. The advanced controls for column and row spanning enable the rapid assembly of complex, non-uniform layouts that are typically time-consuming to create. The workflow is ensured by an integrated Quality Advisor module that provides real-time feedback on effective resolution and color-blind-friendly palettes to ensure journal compliance. Finally, users can manage multiple figures and save their projects effortlessly. Availability and implementationThe source code of EasyFigAssembler is available at https://github.com/Pharmaco-OmicsLab/EasyFigAssembler. The web interface for users can be accessed at https://easyverse.app/easyfig/.

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02 /Specification & Classification

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