Nature Communications (Sep 2016)

Extraction and analysis of signatures from the Gene Expression Omnibus by the crowd

  • Zichen Wang,
  • Caroline D. Monteiro,
  • Kathleen M. Jagodnik,
  • Nicolas F. Fernandez,
  • Gregory W. Gundersen,
  • Andrew D. Rouillard,
  • Sherry L. Jenkins,
  • Axel S. Feldmann,
  • Kevin S. Hu,
  • Michael G. McDermott,
  • Qiaonan Duan,
  • Neil R. Clark,
  • Matthew R. Jones,
  • Yan Kou,
  • Troy Goff,
  • Holly Woodland,
  • Fabio M R. Amaral,
  • Gregory L. Szeto,
  • Oliver Fuchs,
  • Sophia M. Schüssler-Fiorenza Rose,
  • Shvetank Sharma,
  • Uwe Schwartz,
  • Xabier Bengoetxea Bausela,
  • Maciej Szymkiewicz,
  • Vasileios Maroulis,
  • Anton Salykin,
  • Carolina M. Barra,
  • Candice D. Kruth,
  • Nicholas J. Bongio,
  • Vaibhav Mathur,
  • Radmila D Todoric,
  • Udi E. Rubin,
  • Apostolos Malatras,
  • Carl T. Fulp,
  • John A. Galindo,
  • Ruta Motiejunaite,
  • Christoph Jüschke,
  • Philip C. Dishuck,
  • Katharina Lahl,
  • Mohieddin Jafari,
  • Sara Aibar,
  • Apostolos Zaravinos,
  • Linda H. Steenhuizen,
  • Lindsey R. Allison,
  • Pablo Gamallo,
  • Fernando de Andres Segura,
  • Tyler Dae Devlin,
  • Vicente Pérez-García,
  • Avi Ma’ayan

DOI
https://doi.org/10.1038/ncomms12846
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 11

Abstract

Read online

A wealth of gene expression data is publicly available, yet is little use without additional human curation. Ma’ayan and colleagues report a crowdsourcing project involving over 70 participants to annotate and analyse thousands of human disease-related gene expression datasets.