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This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...
This course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...
This course begins a series of classes illustrating the power of computing in modern biology. It teaches how to apply popular bioinformatics software tools to real experimental...
This course teaches how graph theory can be used to assemble genomes from these short pieces and also about brute force algorithms and how to apply them to sequencing...
This course covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. It deals with...
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
In this course, students will compare DNA from an individual against a reference human genome to find potentially disease-causing mutations. They will also learn how to identify...
This class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...
This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
This course discusses the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology.
This course covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks. It covers motif searching,...
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