Species Translation Challenge - Overview

Species Translation Challenge - Overview

The Species Translation Challenge is closed

 

To learn more about the outcome of the Species Translation Challenge the following articles have been published in the Bioinformatics Journal:

To learn more about the data set used during the Species Translation Challenge the following article has been published in Scientific Data:

 

The aim of the Species Translation Challenge was to:

  • identify rules which map measurements derived from systematic perturbations in one species to another species
  • quantify the translatability between species
  • understand the limitation of species translatability

The Species Translation Challenge addressed the translatability of findings between rat and human model systems. The four Sub Challenges addressed different aspects of this problem. For more details about the Diagnostic Signature Challenge visit the "The Challenge" tab.

We would like to thank all teams that took part in the Species Translation Challenge.

The final rankings are available here.

The best performing teams were announced at the sbv IMPROVER Symposium 2013 in Greece and the identity of the best performing teams for each challenge was published in Nature (Volume 503 Number 7476, 21 November 2013, Naturejobs page 12 ).


As published in Nature, 21 Nov. 2013, Naturejobs page 12

 

Congratulations to the best performing teams from the sbv IMPROVER Species Translation Challenge.

These are:

 

Sub-Challenge 1: Intra-Species Protein Phosphorylation Prediction

Rank 1
  • Team PRB: Adi L. Tarca, Roberto Romero (Wayne State University & Perinatology Research Branch, NICHD, NIH)
  • Team AMG: Gyan Bhanot (Rutgers University, Dept. of Molecular Biology and Biochemistry and Dept. of Physics), Adel Dayarian (Kavli Institute for Theoretical Physics, University of California Santa Barbara), Michael Biehl (University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science), Sahand Hormoz (Kavli Institute for Theoretical Physics, University of California Santa Barbara)
  • Team Clemson: Feng Luo (Clemson University), Zhiming Wang (Clemson University, Hunan Agricultural University)

 

Sub-Challenge 2: Inter-Species Protein Phosphorylation Prediction

Rank 1
  • Team AMG: Gyan Bhanot (Rutgers University, Dept. of Molecular Biology and Biochemistry and Dept. of Physics), Adel Dayarian (Kavli Institute for Theoretical Physics, University of California Santa Barbara), Michael Biehl (University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science), Sahand Hormoz (Kavli Institute for Theoretical Physics, University of California Santa Barbara)
Rank 2
  • Team IGB: Peter Sadowski, Michael Zeller (University of California Irvine)

 

Sub-Challenge 3: Inter-Species Pathway Perturbation Prediction

Rank 1
  • Team AMG: Gyan Bhanot (Rutgers University, Dept. of Molecular Biology and Biochemistry and Dept. of Physics), Adel Dayarian (Kavli Institute for Theoretical Physics, University of California Santa Barbara), Michael Biehl (University of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science), Sahand Hormoz (Kavli Institute for Theoretical Physics, University of California Santa Barbara)
Rank 2
  • Team PRB: Adi L. Tarca, Roberto Romero (Wayne State University & Perinatology Research Branch, NICHD, NIH)
  • Team Edith: Christoph Hafemeister (New York University)

 

Sub-Challenge 4: Species Specific Network Inference

Rank 1
  • Team Reconstructors: Steffen Klamt, Robert Johann Flassig, Sandra Heise, Regina Samaga (Max Planck Institute for Dynamics of Complex Technical Systems)
  • Team PITT.DBMI.DREAM: Lujia Chen, Xinghua Lu (University of Pittsburgh)
Rank 3
  • Team UPITT.Trans.Med: Chunhui Cai (University of Pittsburgh)
Rank 4
  • Team Vital-IT: Anastasia Chasapi, Leonore Wigger, Julien Dorier, Ioannis Xenarios, Mark Ibberson, Nicolas Guex (SIB Swiss Institute of Bioinformatics, Center of Integrative Genomics, UNIL, Switzerland)
  • Team PNNL: Hugh Mitchell, Susan Tilton, Jason McDermott, Joel G. Pounds (Pacific Northwest National Laboratory)

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