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VOLTA: adVanced mOLecular neTwork Analysis
Bioinformatics ( IF 5.8 ) Pub Date : 2021-09-08 , DOI: 10.1093/bioinformatics/btab642
Alisa Pavel 1, 2, 3 , Antonio Federico 1, 2, 3 , Giusy Del Giudice 1, 2, 3 , Angela Serra 1, 2, 3 , Dario Greco 1, 2, 3, 4
Affiliation  

Motivation Network analysis is a powerful approach to investigate biological systems. It is often applied to study gene co-expression patterns derived from transcriptomics experiments. Even though co-expression analysis is widely used, there is still a lack of tools that are open and customizable on the basis of different network types and analysis scenarios (e.g. through function accessibility), but are also suitable for novice users by providing complete analysis pipelines. Results We developed VOLTA, a Python package suited for complex co-expression network analysis. VOLTA is designed to allow users direct access to the individual functions, while they are also provided with complete analysis pipelines. Moreover, VOLTA offers when possible multiple algorithms applicable to each analytical step (e.g. multiple community detection or clustering algorithms are provided), hence providing the user with the possibility to perform analysis tailored to their needs. This makes VOLTA highly suitable for experienced users who wish to build their own analysis pipelines for a wide range of networks as well as for novice users for which a ‘plug and play’ system is provided. Availability and implementation The package and used data are available at GitHub: https://github.com/fhaive/VOLTA and 10.5281/zenodo.5171719. Supplementary information Supplementary data are available at Bioinformatics online.

中文翻译:

VOLTA:高级分子网络分析

动机网络分析是研究生物系统的有力方法。它通常用于研究源自转录组学实验的基因共表达模式。尽管共表达分析被广泛使用,但仍然缺乏基于不同网络类型和分析场景的开放和可定制(例如通过功能可访问性),但也适合新手用户提供完整分析的工具管道。结果 我们开发了 VOLTA,这是一个适用于复杂共表达网络分析的 Python 包。VOLTA 旨在允许用户直接访问各个功能,同时还为他们提供了完整的分析管道。此外,VOLTA 在可能的情况下提供适用于每个分析步骤的多种算法(例如 提供了多个社区检测或聚类算法),因此为用户提供了根据他们的需要进行量身定制的分析的可能性。这使得 VOLTA 非常适合希望为各种网络构建自己的分析管道的有经验的用户,以及提供“即插即用”系统的新手用户。可用性和实施​​包和使用的数据可在 GitHub 上获得:https://github.com/fhaive/VOLTA 和 10.5281/zenodo.5171719。补充信息 补充数据可在 Bioinformatics 在线获取。这使得 VOLTA 非常适合希望为各种网络构建自己的分析管道的有经验的用户,以及提供“即插即用”系统的新手用户。可用性和实施​​包和使用的数据可在 GitHub 上获得:https://github.com/fhaive/VOLTA 和 10.5281/zenodo.5171719。补充信息 补充数据可在 Bioinformatics 在线获取。这使得 VOLTA 非常适合希望为各种网络构建自己的分析管道的有经验的用户,以及提供“即插即用”系统的新手用户。可用性和实施​​包和使用的数据可在 GitHub 上获得:https://github.com/fhaive/VOLTA 和 10.5281/zenodo.5171719。补充信息 补充数据可在 Bioinformatics 在线获取。
更新日期:2021-09-08
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