Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/48080
Title: PANEV: an R package for a pathway-based network visualization
Authors: Palombo, Valentino
Milanesi, Marco 
Sferra, Gabriella
Capomaccio, Stefano
Sgorlon, Sandy
D'Andrea, Mariasilvia
Journal: BMC BIOINFORMATICS 
Issue Date: 2020
Abstract: 
During the last decade, with the aim to solve the challenge of post-genomic and transcriptomic data mining, a plethora of tools have been developed to create, edit and analyze metabolic pathways. In particular, when a complex phenomenon is considered, the creation of a network of multiple interconnected pathways of interest could be useful to investigate the underlying biology and ultimately identify functional candidate genes affecting the trait under investigation.
URI: http://hdl.handle.net/2067/48080
ISSN: 1471-2105
DOI: 10.1186/s12859-020-3371-7
Rights: Attribution-ShareAlike 4.0 International
Appears in Collections:A1. Articolo in rivista

Files in This Item:
Show full item record

SCOPUSTM   
Citations 10

15
Last Week
0
Last month
0
checked on Apr 17, 2024

Page view(s)

68
Last Week
0
Last month
1
checked on Apr 24, 2024

Download(s)

2
checked on Apr 24, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons