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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 is an introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research.
This course offers an introduction to how we can start to understand this language by using algorithms to find hidden messages in DNA.
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 online course gives an introduction to genomic data science. The course explores DNA replication, analyzing algorithms to look for hidden messages in the genome. It also...
This online course gives participants an introduction to the components of human cells and their functions. It dives into the cell core to explore the Deoxyribonucleic Acid...
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 covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks. It covers motif searching,...
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 explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
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...
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 online course (MOOC) teaches how to use existing tools and pipelines to analyze next generation sequencing (NGS) data.
This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....
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 course explores introductory programming and data analysis in MATLAB, with applications to biology and medicine.
This online course focuses on facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...
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 teaches about the role of clinical bioinformaticians in healthcare and how their work is helping to realise the genomics revolution.
How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...
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