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Learn Genomics with paid and free online courses and MOOCs from Johns Hopkins, Harvard, University of Illinois, MIT and other top universities around the world. Read reviews to decide if a class is right for you.
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures an…
The structure, annotation, normalization, and interpretation of genome scale assays.
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
What is a genome? A genome contains all of the information that a cell needs to develop, function, and reproduce itself, and all the information needed for those cells to come together to form a person, plant, or animal. Genomes contain an organism’s com…
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Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
Learn more about how genomic data and computational tools can help us understand and track disease-causing bacteria.
Fall 2020 Prof. Manolis Kellis
Computational Biology: Genomes, Networks, Evolution, Health
Machine Learning in Genomics: Dissecting the circuitry of Human Disease
Syllabus: MIT CompBio Lecture 01 - Introduction.MIT CompBio Lecture 02 - DynamicProgramming (Part1).MIT CompBio Lecture 02 - DynamicProgramming (Part2).MIT CompBio Lecture 03 - Database Search.MIT CompBio Lecture 04 - HMMs I.MIT CompBio Lecture 05 - HMMs…
Syllabus: MIT CompBio Lecture 01 - Introduction (Fall'19).MIT CompBio Lecture 02 - Dynamic Programming (Fall'19).MIT CompBio Lecture 03 - Hashing BLAST Database Search (Fall'19).MIT CompBio Lecture 04 - HMMs Hidden Markov Models I (Fall'19).MIT CompBio L…
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and…
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
This course is designed to provide students with the foundation necessary to conduct statistical analysis of genetic association study data. This course includes topics such as quality control in genetic studies, population-based case-control association…
Advances in genomics have triggered fundamental changes in medicine and research. Genomic datasets are driving the next generation of discovery and treatment, and this series will enable you to analyze and interpret data generated by modern genomics tech…
To acquire an understanding of the fundamental concepts of genomics and biotechnology, and their implications for human biology, evolution, medicine, social policy and individual life path choices in the 21st century.
This course is expected to introduce rapid advancements in our understanding of the role of human genome in health and disease. We would introduce key concepts of inheritance of human traits, pedigree analysis, and chromosome organization. Molecular biol…
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