Manolis Kellis Courses

AI in Medicine - Keynote at Cambridge CCAIM24 Summer School

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Explore AI's transformative impact on medicine with insights from a leading expert, covering cutting-edge applications and future possibilities in healthcare.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Introduction to Machine Learning in Computational Biology - Lecture 1

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Comprehensive overview of computational biology, exploring GenAI, representation learning, and their applications in genomics and language models. Insights into future directions and potential impacts.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Sequence Alignment and Dynamic Programming in Computational Biology - Lecture 4

Comprehensive exploration of sequence alignment techniques, from comparative genomics to dynamic programming, covering local alignment, hashing, and BLAST for efficient genomic analysis and evolutionary insights.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Regulatory Circuitry - Lecture 6

Explore regulatory circuitry in genomics, uncovering mechanisms of gene expression control and cellular regulation through advanced computational analysis techniques.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Epigenomics and Hidden Markov Models in Computational Biology - Lecture 5

Explore epigenomics, histone modifications, and DNA profiling techniques. Learn about read mapping, quality control, and Hidden Markov Models for analyzing chromatin states in computational biology.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

Keynote: On the Verge of Synthetic Biology Breakthroughs - September 7, 2024

Explore cutting-edge genomics and synthetic biology insights in Manolis Kellis' keynote address at iGEM OnTheVerge, delving into future possibilities and current advancements.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Regulatory Circuitry and Networks - Lecture 7

Explore regulatory circuitry and networks in biological systems, focusing on gene regulation mechanisms and their interconnected pathways.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Single Cell Analysis in Computational Biology - Lecture 3

Comprehensive exploration of single-cell RNA sequencing, covering technologies, applications, and analysis techniques. Discusses advantages over bulk sequencing and addresses key biological questions in the field.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Expression Analysis, Clustering, and Classification in Machine Learning - Lecture 2

Comprehensive exploration of machine learning concepts, from basic principles to advanced techniques, with applications in gene expression analysis and text clustering.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

AI for Medicine - In Greek - 2025

Ανακαλύψτε πώς η τεχνητή νοημοσύνη μεταμορφώνει την ιατρική μέσα από την κεντρική ομιλία του Μανώλη Κέλλη στα ελληνικά.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Protein Structure with Transformers - Lecture 9

Explore protein structure prediction using transformer models, uncovering advanced techniques for understanding and analyzing protein folding and interactions.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Protein Language Models - Lecture 13

Learn about protein language models and their applications in computational biology, exploring advanced techniques for analyzing and predicting protein structures and functions.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Computational Metabolomics - Lecture 23

Dive into computational metabolomics principles and applications, exploring advanced analytical techniques for metabolic pathway analysis and biological data interpretation.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Metabolic Modeling - Lecture 22

Dive into metabolic modeling principles and techniques, exploring computational approaches for understanding cellular metabolism and biological pathway analysis.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Machine Learning for Computational Biology: Electronic Health Records - Lecture 19

Dive into machine learning applications for Electronic Health Records (EHRs), exploring computational biology approaches and data analysis techniques for healthcare systems.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video