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A spectral analysis approach to detect actively translated open reading frames in high-resolution ribosome profiling data

Lorenzo Calviello, Neelanjan Mukherjee, Emanuel Wyler, Henrik Zauber, Antje Hirsekorn, Matthias Selbach, Markus Landthaler, Benedikt Obermayer, Uwe Ohler
doi: https://doi.org/10.1101/031625
Lorenzo Calviello
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Neelanjan Mukherjee
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Emanuel Wyler
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Henrik Zauber
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Antje Hirsekorn
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Matthias Selbach
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Markus Landthaler
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Benedikt Obermayer
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
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Uwe Ohler
1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
2Departments of Biology and Computer Science, Humboldt University, 10099 Berlin
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Article Information

doi 
https://doi.org/10.1101/031625
History 
  • November 13, 2015.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Lorenzo Calviello1,
  2. Neelanjan Mukherjee1*,
  3. Emanuel Wyler1*,
  4. Henrik Zauber1,
  5. Antje Hirsekorn1,
  6. Matthias Selbach1,
  7. Markus Landthaler1,
  8. Benedikt Obermayer1 and
  9. Uwe Ohler1,2
  1. 1Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, 13125 Berlin
  2. 2Departments of Biology and Computer Science, Humboldt University, 10099 Berlin
  1. Corresponding author: uwe.ohler{at}mdc-berlin.de
  1. ↵* equal contribution.

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Posted November 13, 2015.
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A spectral analysis approach to detect actively translated open reading frames in high-resolution ribosome profiling data
Lorenzo Calviello, Neelanjan Mukherjee, Emanuel Wyler, Henrik Zauber, Antje Hirsekorn, Matthias Selbach, Markus Landthaler, Benedikt Obermayer, Uwe Ohler
bioRxiv 031625; doi: https://doi.org/10.1101/031625
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A spectral analysis approach to detect actively translated open reading frames in high-resolution ribosome profiling data
Lorenzo Calviello, Neelanjan Mukherjee, Emanuel Wyler, Henrik Zauber, Antje Hirsekorn, Matthias Selbach, Markus Landthaler, Benedikt Obermayer, Uwe Ohler
bioRxiv 031625; doi: https://doi.org/10.1101/031625

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