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PANEV:一个基于通路的网络可视化的 R 包。

PANEV: an R package for a pathway-based network visualization.

机构信息

Dipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, 86100, Campobasso, Italy.

Department of Support, Production and Animal Health, School of Veterinary Medicine, São Paulo State University, Araçatuba, São Paulo, 16050-680, Brazil.

出版信息

BMC Bioinformatics. 2020 Feb 6;21(1):46. doi: 10.1186/s12859-020-3371-7.

Abstract

BACKGROUND

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.

RESULTS

PANEV (PAthway NEtwork Visualizer) is an R package set for gene/pathway-based network visualization. Based on information available on KEGG, it visualizes genes within a network of multiple levels (from 1 to n) of interconnected upstream and downstream pathways. The network graph visualization helps to interpret functional profiles of a cluster of genes.

CONCLUSIONS

The suite has no species constraints and it is ready to analyze genomic or transcriptomic outcomes. Users need to supply the list of candidate genes, specify the target pathway(s) and the number of interconnected downstream and upstream pathways (levels) required for the investigation. The package is available at https://github.com/vpalombo/PANEV.

摘要

背景

在过去的十年中,为了解决后基因组和转录组数据挖掘的挑战,已经开发了大量的工具来创建、编辑和分析代谢途径。特别是,当考虑到一个复杂的现象时,创建一个由多个相互关联的感兴趣途径组成的网络可能有助于研究潜在的生物学,并最终确定影响所研究性状的功能候选基因。

结果

PANEV(途径网络可视化器)是一个用于基于基因/途径的网络可视化的 R 包集。它基于 KEGG 上提供的信息,可视化了网络中多个层次(从 1 到 n)的相互关联的上下游途径中的基因。网络图形可视化有助于解释基因簇的功能特征。

结论

该套件没有物种限制,并且可以准备分析基因组或转录组结果。用户需要提供候选基因列表,指定目标途径以及调查所需的相互关联的下游和上游途径(水平)的数量。该软件包可在 https://github.com/vpalombo/PANEV 上获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a30/7006390/6df1d19443c2/12859_2020_3371_Fig1_HTML.jpg

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