In recent years, -omics studies have provided valuable insights into the global properties of biological systems and their responses to stimuli. Exploring experiments employing different omics techniques enables the capture of holistic aspects that are often pertinent but challenging to explore and represent comprehensively. We are introducing PathLay, an innovative graphical platform, where users engage directly with intuitive, biologically integrated, and interactive symbols derived from integrated -omics data displayed on layered pathway maps. Through PathLay, users intuitively manipulate these symbols using a variety of interactive methods, interacting with each other and with the map viewer, which then displays relevant information in real-time. This approach facilitates rapid refocusing of experimental perspectives through biological lenses, enabling intuitive navigation within and across maps without being encumbered by technical details, thus greatly enhancing data interpretation.
Design and Development of a Web-Based Graphical Platform for Streamlined Multi-Omics Data Integration and Visualisation
CASBARRA, LORENZO
2025
Abstract
In recent years, -omics studies have provided valuable insights into the global properties of biological systems and their responses to stimuli. Exploring experiments employing different omics techniques enables the capture of holistic aspects that are often pertinent but challenging to explore and represent comprehensively. We are introducing PathLay, an innovative graphical platform, where users engage directly with intuitive, biologically integrated, and interactive symbols derived from integrated -omics data displayed on layered pathway maps. Through PathLay, users intuitively manipulate these symbols using a variety of interactive methods, interacting with each other and with the map viewer, which then displays relevant information in real-time. This approach facilitates rapid refocusing of experimental perspectives through biological lenses, enabling intuitive navigation within and across maps without being encumbered by technical details, thus greatly enhancing data interpretation.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14242/218183
URN:NBN:IT:UNISI-218183