EasyFigAssembler: Enhance Omics Data Storytelling through Effective Figure Assembly

An 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. There is a lack of a quick and effective tool for assembling complex omics-based figures. We present EasyFigAssembler, a user-friendly web application that significantly simplifies and accelerates the making of multi-panel omics-based figures. The app supports nondestructive 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 warrant journal compliance. Finally, users can manage multiple figures and save their projects effortlessly. The 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/.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2026-03-04
DOI
https://doi.org/10.1021/acs.jproteome.5c01022
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EasyFigAssembler: Enhance Omics Data Storytelling through Effective Figure Assembly

Nguyen Phuoc Long, Nguyen Quang Thu
Journal of Proteome Research
Biomedical Text Mining and Ontologies
article

EasyFigAssembler: Enhance Omics Data Storytelling through Effective Figure Assembly

Nguyen Phuoc Long, Nguyen Quang Thu
article en

Abstract

An 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. There is a lack of a quick and effective tool for assembling complex omics-based figures. We present EasyFigAssembler, a user-friendly web application that significantly simplifies and accelerates the making of multi-panel omics-based figures. The app supports nondestructive 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 warrant journal compliance. Finally, users can manage multiple figures and save their projects effortlessly. The 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/.

Journal of Proteome Research
Chang Gung University (TW), Molecular Medicine Research Institute (US), Institute of Biomedical Science (GB)
Openalex Percentile: Top 34%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.