A novel community driven software for functional enrichment analysis of extracellular vesicles data

Simona Fontana, Riccardo Alessandro, Suresh Mathivanan, Anders Øverbye, An Hendrix, Martijn J. C. Van Herwijnen, Federica Collino, Ching-Seng Ang, Alberto Benito-Martin, Shivakumar Keerthikumar, Joanne L. Welton, Simona Principe, Theocharis Panaretakis, Goran Ronquist, Tommaso Leonardi, Nunzio Iraci, Yong Song Gho, Joanna Kowal, Yaxuan Liang, Sayantan MajiFelix Royo, Cristiana Spinelli, Mohashin Pathan, Pedro Fonseca, Taral R. Lunavat, Kenneth Kastaniegaard, Kening Zhao, David Chisanga, Esther Nolte-’T Hoen, Giovanni Camussi, Tushar Patel, Igor V. Kurochkin, Pamali Fonseka, Martijn J. C. Van Herwijnen, Esther Nolte-’T Hoen, Giovanni Camussi, Arsen O. Batagov, Héctor Peinado, Juan Manuel Falcon-Perez, Allan Stensballe, Thomas Kislinger, Dolores Di Vizio, Stefano Pluchino, Alicia Llorente, Clotilde Théry, Philip Askenase, Marca Wauben, Giovanni Camussi, Susmita Sahoo, Aled Clayton

Research output: Contribution to journalArticlepeer-review

224 Citations (Scopus)


Bioinformatics tools are imperative for the in depth analysis of heterogeneous high-throughput data. Most of the software tools are developed by specific laboratories or groups or companies wherein they are designed to perform the required analysis for the group. However, such software tools may fail to capture "what the community needs in a tool". Here, we describe a novel community-driven approach to build a comprehensive functional enrichment analysis tool. Using the existing FunRich tool as a template, we invited researchers to request additional features and/or changes. Remarkably, with the enthusiastic participation of the community, we were able to implement 90% of the requested features. FunRich enables plugin for extracellular vesicles wherein users can download and analyse data from Vesiclepedia database. By involving researchers early through community needs software development, we believe that comprehensive analysis tools can be developed in various scientific disciplines.
Original languageEnglish
Number of pages4
JournalJournal of Extracellular Vesicles
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Histology
  • Cell Biology


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