SCINet, the AI-COE, and other providers regularly host a variety of events and trainings. Information on how to attend these events will be posted on this page closer to the event date. You might want to take a look at events we’ve hosted in the past, too.
If you have a training request that is not being offered at this time, please complete this short training request form to let us know.
Keep an eye on this page for more info about upcoming events!
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Transfer Learning
This workshop provides the foundational concepts and practical applications of transfer learning, a powerful technique in deep learning that allows AI models to leverage pre-trained knowledge to improve performance on new tasks. The sessions will cover different types of transfer learning techniques, such as feature extraction and fine-tuning. This includes hands-on experience in applying these techniques to computer vision and language models.
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Animal Behavior AI - Working Group Meeting
This SCINet working group aims to explore the potential benefits of Artificial Intelligence (AI) in animal behavior research.
- SCINet discussion, focusing on how to use globus and Juno for hosting data.
- Brad A. Freking, Research Geneticist from the U.S. Meat Animal Research Center (USMARC) at ARS will present their on-going challenge about detecting sheep maternal behavior from camera images. We will discuss possible AI approaches to address this challenge.
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Data Preparation and Quality Assessment in Genome Assembly
This workshop provides a hands-on introduction to data preparation, genome assembly, and quality assessment. Participants will explore different assembly approaches and techniques for evaluating the accuracy and completeness of genome assemblies, helping attendees understand key metrics and statistical methods used to assess the quality of genomic data.
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Genome Assembly Validation and Improvement
In this workshop, participants will learn how to understand and validate a genome assembly. The participants will appreciate why genome assembly is often an iterative process, where you start with a draft and constantly improve using techniques such as polishing and scaffolding. Participants will also be introduced to gene annotation.
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Introduction to RNA-seq Analysis
In this workshop, we will provide an overview of RNA-sequencing (RNA-seq) technology and best practices for experimental design. Participants will also explore preprocessing steps, read alignment (de novo, pseudoalignment, and to a reference genome), and differential expression analysis using DESeq2. We will also introduce tools for functional analysis and determining the biological relevance of the results.
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RNA for Genome Annotation and Reproducibility in Bioinformatics
This workshop demonstrates how RNA data can be used for genome annotation. Participants will explore using RNA-derived evidence to improve genome annotations, distinguish coding from non-coding regions, and validate. We will also explore strategies for increasing reproducibility in bioinformatics.