PETAL: a Python tool for deep analysis of biological pathways

Giuseppe Sgroi; Giulia Russo; Francesco Pappalardo

doi:10.1093/bioinformatics/btaa1032

PETAL: a Python tool for deep analysis of biological pathways

Bioinformatics. 2021 Apr 1;36(22-23):5553-5555. doi: 10.1093/bioinformatics/btaa1032.

Authors

Giuseppe Sgroi¹, Giulia Russo², Francesco Pappalardo²

Affiliations

¹ Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy.
² Depatment of Drug Sciences, University of Catania, 95125 Catania, Italy.

PMID: 33325491
DOI: 10.1093/bioinformatics/btaa1032

Abstract

Summary: Although several bioinformatics tools have been developed to examine signaling pathways, little attention has been given to ever long-distance crosstalk mechanisms. Here, we developed PETAL, a Python tool that automatically explores and detects the most relevant nodes within a KEGG pathway, scanning and performing an in-depth search. PETAL can contribute to discovering novel therapeutic targets or biomarkers that are potentially hidden and not considered in the network under study.

Availabilityand implementation: PETAL is a freely available open-source software. It runs on all platforms that support Python3. The user manual and source code are accessible from https://github.com/Pex2892/PETAL.