Related Experiment Video
Updated: Feb 11, 2026

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
Published on: June 4, 2019
Signalling maps in cancer research: construction and data analysis
Maria Kondratova1,2,3, Nicolas Sompairac1,2,3, Emmanuel Barillot1,2,3
1Institut Curie, PSL Research University, F-75005 Paris, France.
Abstract:
Generation and usage of high-quality molecular signalling network maps can be augmented by standardizing notations, establishing curation workflows and application of computational biology methods to exploit the knowledge contained in the maps. In this manuscript, we summarize the major aims and challenges of assembling information in the form of comprehensive maps of molecular interactions. Mainly, we share our experience gained while creating the Atlas of Cancer Signalling Network. In the step-by-step procedure, we describe the map construction process and suggest solutions for map complexity management by introducing a hierarchical modular map structure. In addition, we describe the NaviCell platform, a computational technology using Google Maps API to explore comprehensive molecular maps similar to geographical maps and explain the advantages of semantic zooming principles for map navigation. We also provide the outline to prepare signalling network maps for navigation using the NaviCell platform. Finally, several examples of cancer high-throughput data analysis and visualization in the context of comprehensive signalling maps are presented.
Related Concept Videos
mTOR Signaling and Cancer Progression
The mTOR pathway or the...
Analysis of Population Pharmacokinetic Data
Small-Signal Analysis of MOSFET Amplifiers
Small-Signal Analysis of BJT Amplifiers
Cancer Survival Analysis
Overview of Microsoft Excel as a Data Analysis Tool

