A novel community driven software for functional enrichment analysis of extracellular vesicles data
Di Vizio, Dolores
Falcon-Perez, Juan Manuel
Gho, Yong Song
Esther, Nolte-'t Hoen
Martjin, van Herwijnen
Welton, Joanne Louise
Taylor & Francis Open
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Bioinformatics tools are imperative for the in depth analysis of heterogeneous highthroughput 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. By involving researchers early through community needs software development, we believe that comprehensive analysis tools can be developed in various scientific disciplines.
Journal of Extracellular Vesicles;
Mohashin Pathan, Shivakumar Keerthikumar, David Chisanga, Riccardo Alessandro, Ching-Seng Ang, Philip Askenase, Arsen O. Batagov, Alberto Benito-Martin, Giovanni Camussi, Aled Clayton, Federica Collino, Dolores Di Vizio, Juan Manuel Falcon-Perez, Pedro Fonseca, Pamali Fonseka, Simona Fontana, Yong Song Gho, An Hendrix, Esther Nolte-’t Hoen, Nunzio Iraci, Kenneth Kastaniegaard, Thomas Kislinger, Joanna Kowal, Igor V. Kurochkin, Tommaso Leonardi, Yaxuan Liang, Alicia Llorente, Taral R. Lunavat, Sayantan Maji, Francesca Monteleone, Anders Øverbye, Theocharis Panaretakis, Tushar Patel, Héctor Peinado, Stefano Pluchino, Simona Principe, Goran Ronquist, Felix Royo, Susmita Sahoo, Cristiana Spinelli, Allan Stensballe, Clotilde Théry, Martijn J.C. van Herwijnen, Marca Wauben, Joanne L. Welton, Kening Zhao & Suresh Mathivanan (2017) A novel community driven software for functional enrichment analysis of extracellular vesicles data, Journal of Extracellular Vesicles, 6:1, DOI: 10.1080/20013078.2017.1321455
Article published open access in Journal of Extracellular Vesicles available at https://doi.org/10.1080/20013078.2017.1321455
This work was supported by the Australian Research Council DECRA; [DE150101777]; [U54-DA036134]; NIH Common Fund.
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