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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 covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks. It covers motif searching,...
This course teaches about the role of clinical bioinformaticians in healthcare and how their work is helping to realise the genomics revolution.
This online course explores introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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 online course (MOOC) teaches how to use existing tools and pipelines to analyze next generation sequencing (NGS) data.
This course discusses the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology.
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 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 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 online course offers a comprehensive guide to Plant Bioinformatics. Examples of topics covered are: plant economic databases, gene expression analysis and network exploration.
This online course explores how to perform common genomics-based analysis tasks of bacterial sequence data. The course was designed for biologists, bacteriologists, and...
This online course explores Linux and its command line in order to access the full range of bioinformatics tools. The course was designed for students, biologists, and research...
This online lecture gives an introduction to biomedical signals and their digital analyis. (Note: course website is in German, but lectures + slides in English.)
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 online course, participants are given the following task: Given a collection of simulated error-free read-pairs, they use the paired de Bruijn graph to reconstruct the...
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