PETAL: a Python tool for deep analysis of biological pathways | Zendy

Giuseppe Sgroi | Zendy; Giulia Russo | Zendy; Francesco Pappalardo | Zendy

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PETAL: a Python tool for deep analysis of biological pathways

Author(s) -

Giuseppe Sgroi,

Giulia Russo,

Francesco Pappalardo

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa1032

Subject(s) - python (programming language) , computer science , computational biology , petal , artificial intelligence , computer graphics (images) , biology , programming language , ecology

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.

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