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GOThresher: a program to remove annotation biases from protein function annotation datasets

Parnal Joshi, Sagnik Banerjee, Xiao Hu, Pranav M. Khade, View ORCID ProfileIddo Friedberg
doi: https://doi.org/10.1101/2022.11.30.506803
Parnal Joshi
1Bioinformatics and Computational Biology Program
2Department of Veterinary Microbiology and Preventive Medicine
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Sagnik Banerjee
1Bioinformatics and Computational Biology Program
4Department of Statistics, Iowa State University, Ames IA USA
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Xiao Hu
2Department of Veterinary Microbiology and Preventive Medicine
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Pranav M. Khade
1Bioinformatics and Computational Biology Program
3Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology
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Iddo Friedberg
1Bioinformatics and Computational Biology Program
2Department of Veterinary Microbiology and Preventive Medicine
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  • ORCID record for Iddo Friedberg
  • For correspondence: idoerg@iastate.edu
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Article Information

doi 
https://doi.org/10.1101/2022.11.30.506803
History 
  • December 2, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Parnal Joshi1,2,
  2. Sagnik Banerjee1,4,
  3. Xiao Hu2,
  4. Pranav M. Khade1,3 and
  5. Iddo Friedberg1,2,*
  1. 1Bioinformatics and Computational Biology Program
  2. 2Department of Veterinary Microbiology and Preventive Medicine
  3. 3Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology
  4. 4Department of Statistics, Iowa State University, Ames IA USA
  1. ↵*To whom correspondence should be addressed; email: idoerg{at}iastate.edu.
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Posted December 02, 2022.
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GOThresher: a program to remove annotation biases from protein function annotation datasets
Parnal Joshi, Sagnik Banerjee, Xiao Hu, Pranav M. Khade, Iddo Friedberg
bioRxiv 2022.11.30.506803; doi: https://doi.org/10.1101/2022.11.30.506803
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GOThresher: a program to remove annotation biases from protein function annotation datasets
Parnal Joshi, Sagnik Banerjee, Xiao Hu, Pranav M. Khade, Iddo Friedberg
bioRxiv 2022.11.30.506803; doi: https://doi.org/10.1101/2022.11.30.506803

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