µP

microPublication Biology

Hailey Johnson1, Mia VanHooreweghe1, Jack A Satori1, and John D Chan1§

1University of Wisconsin - Oshkosh, Oshkosh, WI, USA

§Correspondence to: John D Chan (chanj@uwosh.edu)

Abstract

Description

Methods

Extended Data

  • Description: Protein sequences of LGICs predicted in the genomes of S. mansoni, S. japonicum and S. haematobium.. Resource Type: Dataset. DOI: 10.22002/pkvds-7kg28

Funding

This work was supported by funding from the NIH-NIAID (R21 AI146540) and University of Wisconsin Regent Scholar Grant program.

Author Contributions

  • Hailey Johnson: Conceptualization, Formal analysis, Investigation, Visualization
  • Mia VanHooreweghe: Investigation, Formal analysis, Data curation
  • Jack A Satori: Formal analysis, Methodology, Investigation
  • John D Chan: Conceptualization, Data curation, Supervision, Writing - original draft, Writing - review & editing, Project administration, Formal analysis

Reviewed By

Anonymous

History

  • Received: 10/26/2022
  • Accepted: 12/20/2022
  • Published Online: 1/11/2023
  • Indexed: 1/25/2023

References

  1. PubMed

Copyright

© 2023 by the authors. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

microPublication Biology is published by

1200 E. California Blvd. MC 1-43 Pasadena, CA 91125

The microPublication project is supported by

The National Institute of Health -- Grant #: 1U01LM012672-01

microPublication Biology:ISSN: 2578-9430