VOLTA: adVanced mOLecular neTwork Analysis | Zendy

Alisa Pavel | Zendy; Antonio Federico | Zendy; Giusy del Giudice | Zendy; Angela Serra | Zendy; Dario Greco | Zendy

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VOLTA: adVanced mOLecular neTwork Analysis

Author(s) -

Alisa Pavel,

Antonio Federico,

Giusy del Giudice,

Angela Serra,

Dario Greco

Publication year - 2021

Publication title -

bioinformatics

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab642

Subject(s) - python (programming language) , computer science , network analysis , cluster analysis , plug in , pipeline transport , data mining , function (biology) , machine learning , programming language , physics , quantum mechanics , environmental engineering , engineering , evolutionary biology , biology

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.

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