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

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Author
Pathan, Mohashin
Keerthikumar, Shivakumar
Chisanga, David
Alessandro, Riccardo
Ang, Ching-Seng
Askenase, Phil
Batagov, Arsen
Benito-Martin, Alberto
Camussi, Giovanni
Clayton, Aled
Collino, Federica
Di Vizio, Dolores
Falcon-Perez, Juan Manuel
Fonseca, Pedro
Fonseka, Pamali
Fontana, Simona
Gho, Yong Song
Hendrix, An
Esther, Nolte-'t Hoen
Iraci, Nunzio
Kenneth, Kastaniegaard
Kislinger, Thomas
Kowal, Joanna
Kurochkin, Igor
Leonardi, Tomasso
Liang, Yaxuan
Llorente, Alicia
Lunavat, Taral
Maji, Sayantan
Monteleone, Francesca
Øverbye, Anders
Panaretakis, Theocharis
Patel, Tushar
Peinado, Héctor
Pluchino, Stefano
Principe, Simona
Ronquist, Goran
Royo, Felix
Sahoo, Susmita
Spinelli, Christiana
Stensballe, Allan
Clotilde, Théry
Martjin, van Herwijnen
Wauben, Marca
Welton, Joanne Louise
Zhao, Kening
Suresh, Mathivanan
Date
2017-05-26Acceptance date
2017-04-18
Type
Article
Publisher
Taylor & Francis Open
ISSN
2001-3078
Metadata
Show full item recordAbstract
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/conference proceeding
Journal of Extracellular Vesicles;
Citation
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
Description
Article published open access in Journal of Extracellular Vesicles available at https://doi.org/10.1080/20013078.2017.1321455
Sponsorship
This work was supported by the Australian Research Council DECRA; [DE150101777]; [U54-DA036134]; NIH Common Fund.
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