List of free online bioinformatics courses

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List of free online bioinformatics courses

Other resources available - Global Organisation for Bioinformatics Learning, Education & Training, Biostars, Coursera and Bioinformatics Workshops & Training.




Provider description- "Chemistry and metabolism of biopolymers (carbohydrates, lipids, proteins, nucleic acids, and nucleoproteins), vitamins, and hormones. Amino acid, primary, secondary, tertiary, and quaternary structure of proteins ...Enzymes and co-enzymes. Glycolytic pathway and TCA cycle. Electron transport and oxidative phosphorylation ..."

Provider description - "This course explores how to bring a drug from concept to market, and how a drug's chemical structure relates to its biological function. "

Computational Biology[edit]

Provider description - “This course focuses on current problems in computational biology and bioinformatics. Our emphasis will be algorithmic, on discovering appropriate combinatorial algorithm problems and the techniques to solve them. Primary topics will include DNA sequence assembly, DNA/protein sequence assembly, DNA/protein sequence comparison, hybridization array analysis, RNA and protein folding, and phylogenic trees.”

Provider description - "... 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 structures."

Computer Science and Programming[edit]

Provider description - “Principles of computer graphics. Current graphics hardware, elementary operations in two-and three-dimensional space, transformational geometry, clipping, graphics system design, standard graphics systems, individual projects.”


Provider description - “Introduction to the theory, algorithms, and applications of automated learning. How much information is needed to learn a task, how much computation is involved, and how it can be accomplished. Special emphasis will be given to unifying the different approaches to the subject coming from statistics, function approximation, optimization, pattern recognition, and neural networks.”


Gene Expression[edit]

Provider description - "[Topics include] cis-acting elements and trans-acting factors ... domain structure of eukaryotic transcription factors ... role of chromatin ... synthesis of mRNA, rRNA, and tRNA ... cell surface receptors ...intracellular receptors ... regulation of gene expression during development ... recombinant protein expression systems... gene therapy and transgenic technology ..."


Provider description - "This course serves as an introduction to the main laboratory and theoretical aspects of genomics and is divided into themes: genomes, genetics, functional genomics, systems biology, single cell approaches, proteomics, and applications. We start with the basics, DNA sequencing and the genome project, then move to high throughput sequencing methods and applications. Next we introduce principles of genetics and then apply them in clinical genetics and other large-scale sequencing projects. In the functional genomics unit, we start with RNA expression dynamics, analysis of alternative splicing, epigenomics and ChIP-seq, and metagenomics. Model organisms and forward and reverse genetics screens are then discussed, along with quantitative trait locus (QTL) and eQTL analysis. After that, we introduce integrative and single cell genomics approaches and systems biology. Finally, we conclude by introducing...proteomic approaches."

Provider description - "A lecture series covering contemporary areas in genomics and bioinformatics."

Provider description - "Data Analysis for Genomics will teach students how to harness the wealth of genomics data arising from new technologies, such as microarrays and next generation sequencing, in order to answer biological questions, both for basic cell biology and clinical applications."

Provider description - "Train online provides free courses on Europe's most widely used data resources, created by experts at EMBL-EBI and collaborating institutes. You do not need to have any previous experience of bioinformatics to benefit from this training. We want to help you to be a highly competent user of our data resources..."

Provider description - "This course will provide an introduction to genomic medicine and a better understanding of the issues associated with personal genomic information."

Provider description - "This website and accompanying documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers all steps from tissue collection, sample preparation and computer setup..."

Mathematics and Statistics[edit]

Provider description - “The mathematical analysis of algorithms uses a variety of topics from discrete mathematics—combinatorial analysis, number theory, and graph theory. The purpose of this course is to provide fluency with summations, congruences, generating functions, graph theory, and other tools of the trade. The emphasis will be on learning how to attack and solve problems.”

Provider description - "An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. "

Provider description - “A comprehensive introduction to probability. Basics: sample spaces and events, conditional probability, and Bayes' Theorem. Univariate distributions: density functions, expectation and variance, Normal, t, Binomial, Negative Binomial, Poisson, Beta, and Gamma distributions. Multivariate distributions: joint and conditional distributions, independence, transformations, and Multivariate Normal. Limit laws: law of large numbers, central limit theorem. Markov chains: transition probabilities, stationary distributions, convergence.”

Molecular Biology[edit]