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Genetics and Genomics
I am visiting this virtual event Genetics and Genomics. You must check it out http://engage.vevent.com/rt/bioconferencelive~2013geneticsandgenomics&id=542&nid=1076494
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Answer (1 of 7): In my opinion, these are some of the necessary skills:
1. Python/C++/R/Java – you will probably want to learn all of these languages at some point if you want a job in machine-learning. Python’s Numpy and Scipy libraries [2] are awesome because they have similar functionality to…
Answer (1 of 7): In my opinion, these are some of the necessary skills:
1. Python/C++/R/Java – you will probably want to learn all of these languages at some point if you want a job in machine-learning. Python’s Numpy and Scipy libraries [2] are awesome because they have similar functionality to…
Course FeaturesAudio lecturesLecture notesProjects (no examples)Course Description This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug disco…
Course FeaturesAudio lecturesLecture notesProjects (no examples)Course Description This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug disco…
Course FeaturesSelected lecture notesProjects (no examples)Assignments (no solutions)Exams (no solutions)Course Description This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and…
Course FeaturesSelected lecture notesProjects (no examples)Assignments (no solutions)Exams (no solutions)Course Description This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and…
Computational Molecular Biology (Biochem 218) is a practical, hands-on approach to the field of computational molecular biology. The course is recommended for both molecular biologists and computer scientists desiring to understand the major issues concerning analysis of genomes, sequences and …
