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Spring 2024: Investigating Metagenomic Sequences in Arthropod Datasets Importance Using Data Mining Methods

Affiliations: Genetics & Genomics Research Leadership
Project Leader: Emrah Ozel, Ph.D.

emrah.ozel@ag.tamu.edu

Entomology

Faculty Mentor: Phillip Kaufman, Ph.D.
Meeting Times:
TBA
Team Size:
6
Open Spots: 0
Special Opportunities:
Students in this team will have the opportunity to learn and practice bioinformatic methods and research skills, explore the field of genomic data mining, and participate in potential posters and publications.
Team Needs:
Interest in bioinformatics, high-performance research computing (TAMU HPRC) and Linux operating system.
Description:
Modern NGS platforms generate vast amount of sequence data in an untargeted fashion. This randomized and massively parallel sequencing technology allows exploring not only the host genome but also its metagenomic elements such as pathogens. Our laboratory studies insects of veterinary importance and the team will initially focus on tick datasets uploaded to public databases but the methods used in this project can be applied to a wide variety organisms.

Written by:
América Soto-Arzat
Published on:
December 12, 2023

Categories: FullTags: Spring 2024

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