Computational Biology Courses and Certifications

Genome Sequencing (Bioinformatics II)

5 ratings

Explore genome sequencing and antibiotic analysis using graph theory and brute force algorithms. Learn to assemble genomes, sequence antibiotics, and apply bioinformatics tools to real-world pathogens.

• Coursera
• 17 hours
• Self-Paced
• Paid Course

Manolis Kellis

Machine Learning in Computational Biology Fall 2024

Explore machine learning applications in computational biology, covering single-cell analysis, protein folding, drug development, genomics, and metabolic modeling techniques.

• YouTube
• 1 day 6 hours 55 minutes
• Self-Paced
• Free Video

TED

Deciphering Cancer's Code Through Computational Biology

Computational biology approach to decoding cancer growth and mutation patterns, offering innovative insights into understanding and combating the disease.

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

Bioinformagician

Bioinformatics and Computational Biology - The Present Gateway to Research

Comprehensive overview of bioinformatics and computational biology, covering research fields, career paths, applications, job prospects, and educational opportunities for aspiring professionals in this cutting-edge domain.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Introduction to Systems Biology

5 ratings

Learn about Systems Biology, focusing on mammalian cells and their functions. Understand how molecules interact to form functional systems and how emergent behaviors arise. Develop skills in experimental design, data analysis, and quantitative reasoning.

• Coursera
• 19 hours
• Self-Paced
• Paid Course

Manolis Kellis

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

Manolis Kellis

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

Manolis Kellis

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

Fields Institute

Tipping Points in Cancer - Mathematical Oncology and Computational Biology

Explore the mathematical dynamics of cancer progression through computational analysis of fluid mechanics, biology, and critical transition points in tumor development.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Manolis Kellis

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

Computational Genomics Summer Institute CGSI

Generative Models and Their Applications in Computational Biology

Explore generative models like VAEs and diffusion models for computational biology applications, from protein design to genomic data analysis.

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

BSidesLV

Cross-platform Compatibility - Bringing InfoSec Skills into the World of Computational Biology

Explore how information security skills can be applied to computational biology, bridging two diverse fields for innovative problem-solving and research advancements.

• YouTube
• 31 minutes
• Self-Paced
• Conference Talk

Career Certificate

Bioinformatics

1282 ratings at Coursera

Explore computational approaches to solve modern biological questions, from genome sequencing to evolutionary tree construction. Gain practical skills with existing software tools used daily by biologists in this rapidly growing field.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 9 courses

Genome Assembly Programming Challenge

353 ratings at Coursera

Learn to assemble genomes using computational methods, from simple viruses to complex bacteria like E. coli X. Develop programming skills to analyze DNA sequencing data and solve real-world bioinformatics challenges.

• Coursera
• 17 hours 26 minutes
• Self-Paced
• Paid Course

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

140 ratings at Coursera

Explore genome comparison techniques, from aligning genes to analyzing large-scale mutations. Learn dynamic programming and combinatorial algorithms to study species evolution and genome fragility.

• Coursera
• 22 hours
• Self-Paced
• Paid Course