The 26th Annual IEEE High Performance Extreme Computing Conference (HPEC ’22) will be held as...

CI Compass is pleased to announce its next installment in our webinar series: Commercial Cloud Solutions...

Linux Clusters Institute (LCI) workshopIntroduction to Linux Cluster System Administrationat Dartmouth College, Hanover NHContact: Leslie...

Please join ERN at the PEARC'22 Conference next week for our official co-located event, ERN:...

Please join the June Research Computing and Data CG Open Call. As a reminder, our Open Calls are held on the...

4th GPU Hackathon at Princeton (Virtual event)June 1, 2022 (Prep day)June 6-8, 2022 (Main event)Contact:...

Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction Registration: Required (Webinar link will...

Hands-on Training - Deep Learning with Python and Jupyter Deep Learning (DL) outperforms Machine Learning (ML)...

Hands-on Training - Machine Learning with Python and Jupyter In the last few years, both...

Python for Big Data Analytics (Webinar)   The workshop will review several techniques for addressing the...

This three-hour workshop focuses on learning the basics of python programming including data types, conditionals,...

This Institute for Quantitative Biomedicine Crash Course will present a broad overview of how Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction and provide hands-on experience with both AlphaFold2 and RoseTTAFold.

CASP14 revealed that AlphaFold2, developed by Google DeepMind, Inc., can predict threedimensional structures of small globular proteins with accuracies comparable to experimental methods. RoseTTAFold, developed at the University of Washington/Howard Hughes Medical Institute, approaches AlphaFold2 in terms of prediction accuracy while requiring fewer computational resources.

In this Crash Course, expert speakers will provide a solid foundation on the role of AI/ML in structural biology and showcase ongoing research efforts at Rutgers. During the hands-on tutorial, participants will learn how to utilize these new computational tools to compute structure models from amino acid sequences and download precomputed structure models from the AlphaFoldDB database. Local computing resources (Rutgers University Amarel Cluster) and access to Google Colab and the RoseTTAFold server will be made available during the hands-on session.
Please click on the event title for more information.