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GuaCAMOLE: GC-bias aware estimation improves the accuracy of metagenomic species abundances
View ORCID ProfileLaurenz Holcik, View ORCID ProfileArndt von Haseseler, View ORCID ProfileFlorian G. Pflug
doi: https://doi.org/10.1101/2024.09.20.614100
Laurenz Holcik
1Center for Integrative Bioinformatics Vienna (CIBIV), University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria
2Vienna BioCenter PhD Program, a Doctoral School of the University of Vienna and Medical University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria
Arndt von Haseseler
1Center for Integrative Bioinformatics Vienna (CIBIV), University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria
3Bioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, 1090 Vienna, Austria
Florian G. Pflug
1Center for Integrative Bioinformatics Vienna (CIBIV), University of Vienna, Dr. Bohr Gasse 9, 1030 Vienna, Austria
4Biological Complexity Unit, Okinawa Institute of Science and Technology, 1919-1 Tancha, Onna, 904-0495 Okinawa, Japan
Posted September 23, 2024.
GuaCAMOLE: GC-bias aware estimation improves the accuracy of metagenomic species abundances
Laurenz Holcik, Arndt von Haseseler, Florian G. Pflug
bioRxiv 2024.09.20.614100; doi: https://doi.org/10.1101/2024.09.20.614100
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