Associate Professor Peter Kennedy

CBS Plant/Microbial Biology
College of Biological Sciences
Twin Cities
Project Title: 
Fungal Ecology Molecular Data Analysis

This lab studies the ecology of fungi associated with forest trees. For this work, they perform molecular-based identification of fungal communities, utilizing both traditional (Sanger) and modern (next-gen) sequencing methods. To analyze the datasets they are generating more efficiently, they are using the Mesabi and Itasca clusters. In particular, these analyses involve de novo sequencing clustering, which is computationally intensive and so benefits from the core and processing power available through MSI.

The researchers are beginning to do some genomics and transcriptomics work that will benefit from access to the software and expertise available through MSI (e.g. Galaxy, Spotfire).

Project Investigators

Amanda Certano
Christopher Fernandez
Yuehua Hu
Associate Professor Peter Kennedy
Lotus Lofgren
Post doc Zewei Song
 
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