Feb 3, 2021
New Undergrad Student Joined: Kolton Hauck
Kolton is a Biological Engineering major and is working on a minor in Computer Science. He wants to use computers to solve modern-day
biological problems.
He enjoys eating, sleeping and working out.
Jan 11-15, 2020
Naveen presents at International Plant Animal Genome Conference
Naveen Duhan, a PhD student from our lab, attended the International Plant Animal Genome Conference in San Diego. He
presented a poster on citSatdb and Greeningdb, and presented an oral talk on citSatdb.
Mar 21, 2020
New HPC Admin: Shelby McCowan
Shelby is a Biochemistry major who aspires to go into software engineering. He has worked with mobile apps, websites
(including the front and back end), and desktop applications. He is a percussionist in his spare time.
October 12, 2025
StripNET: A Wheat-Stripe Rust Interactome Database
StripeNET is a systems biology tool that maps protein-protein interactions between wheat and stripe rust pathogen strains, helping researchers uncover molecular mechanisms of disease and develop durable resistance in crops.
July 4, 2025
RSLpred2: An Integrated Web Server for the Annotation of Rice Proteome Subcellular Localization Using Deep Learning
Oryza sativa, commonly known as rice, is a widely studied model organism in plant biology. Understanding the subcellular localization of proteins within rice cells is crucial for unraveling their functions and deciphering complex cellular processes. Subcellular localization provides valuable insights into protein trafficking, interactions, and regulatory mechanisms, ultimately aiding in the identification of potential targets for agricultural and biotechnological applications.
June 2, 2025
PRGminer: harnessing deep learning for the prediction of resistance genes involved in plant defense mechanisms
A powerful deep learning tool for identifying and classifying plant resistance genes (R-genes) in plant genomes.
February 9, 2025
AtSubP‐2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning
The AtSubP-2.0 model utilizes a multi-layered architecture with a combination of convolutional neural networks (CNNs) and recurrent neural networks (RNNs). It takes protein sequence inputs and generates predictions for localization to various cellular compartments, including the nucleus, cytoplasm, plasma membrane, endoplasmic reticulum, Golgi apparatus, mitochondria, peroxisomes, and vacuoles.
November 20, 2024
HPIpy: A Host-Pathogen Protein-Protein Interactions Prediction Tool.
HPIpy leverages computational algorithms to predict accurate and reliable interactions between host and pathogen proteins.
November 4, 2021
USU Today
First International Heroes Night
Dr. Rakesh Kaundal has been selected for the 2021 International Faculty Recognition Award.
August 9, 2021
USU Today
NIH Funds USU Researchers' Work on Fathers' Nutrition and Children's Health
Dr. Kaundal is a Co-PI on a $1.56M research grant from the NIH.
April 6, 2021
USU Today
Uncovering Genes that Protect Alfalfa against Salinity Stress
Salt stress is an example of big data bringing immense benefits to plant science.
May 24, 2021
USU Today
Students Receive Grants to Conduct Undergraduate Research
Kolton Hauck is using big data to investigate diverse strands of SARS-CoV-2 virus.