ScatLog: A Novel Customizable Bioinformatics Approach for Species Identification in Metagenomics Studies
Author ORCID
Abstract
We present a novel analytical approach with improved computational efficiency to simultaneously identify predator and prey species from scat samples by overcoming the challenges of species misidentification due to genetic similarity.
Status
Graduate
Department
Biological Sciences
College
College of Arts and Sciences
Campus
Athens
Faculty Mentor
Alvarado Serrano, Diego
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
ScatLog: A Novel Customizable Bioinformatics Approach for Species Identification in Metagenomics Studies
We present a novel analytical approach with improved computational efficiency to simultaneously identify predator and prey species from scat samples by overcoming the challenges of species misidentification due to genetic similarity.