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Bioinformatics Online Modular Degree Programme

Professional training in Bioinformatics

A single course can be an excellent route to improving your skills, and many employers will sponsor staff as a means of developing the workforce. On the projects page you will see some examples of the ways in which our graduates have used the MSc research project in the development of a career in bioinformatics.

Our modules may be studied as short training courses (150 hours), or may count towards one of the formal qualifications described on the Masters page. For those who do not wish to complete the full Masters programme, routes to a Postgraduate Diploma or a Postgraduate Certificate are also available. Our teaching methods are described on the next page, and the table below gives a summary of all the modules that we offer.

For further details, including the technical requirements, please follow the link on the left to the course in which you are interested.

If you have any additional questions, or you need advice on sponsorship, please contact Heather Vincent.

Bioinformatics for Systems Biology

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An introduction to modelling, covering the management and use of data for a systems approach to biology. An introduction to bioinformatics, such as that provided by EMBER. October 2015
Advanced sequence analysis

This course provides an introduction to the data and methods for projects requiring Next Generation Sequence data analysis. The examples are from Illumina sequencing. An introduction to bioinformatics, such as that provided by EMBER. February 2015
Health Informatics This unit provides a basic introduction to the development and use of electronic patient records, their long history, and the challenges still to be overcome.   TBA
Mathematics for metabolic modelling

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An introduction to the basic mathematical skills, concepts and ideas that underpin the modelling of biological systems.   Spring
Introduction to software development in Java An introduction to software development and the Java programming language, emphasising good programming practice.   Autumn and Spring
Programming in C     Autumn
Introduction to BioHealth Informatics BioHealth Informatics is driven by the realisation that bioinformatics and health data management systems must achieve a merger of standards and representations if progress is to continue towards the vision of post-genomic medicine.   February 2014
Computational Systems Biology

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This module will provide an introduction to the computational methods for analysis and simulation of biochemical networks. Bioinformatics for Systems Biology
Mathematics for metabolic modelling
Bioinformatics for transcriptomics

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Microarray and RNA-seq data analysis using R/Bioconductor. This course will be useful for those who have already have experience with NGS data in Galaxy, and who would like to learn to use R for RNA-seq. The focus on modelling for systems biology complements 'Bioinformatics for Systems Biology'. Practical experience with microarrays and/or RNA-seq would be useful, but this is not essential. October 2014
Databases and Modelling Introduces students to the fundamental concepts in databases. The focus is on the designer and application developer, rather than on the implementation and technology aspects of database management systems. An understanding of mathematical 'Set Theory' and it's notation is required for this course. Spring
Object-oriented analysis and design with UML This course aims to to teach, using UML, the concepts, tasks and notation of object-oriented design. Knowledge and/or experience of programming in at least one high-level imperative language (object-oriented or structured eg Java, Smalltalk, Eiffel, C, Ada, Modula or C++). Spring
Introduction to Ontologies for the Biosciences

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Ontologies are used in both 'Bioinformatics for Systems Biology' and in 'Bioinformatics for transcriptomics'. This module aims to provide both the theoretical foundations of ontology design and hands-on experience in the construction of ontologies within the Protégé-OWL environment. None tba

bbsrc logo Developed with support from the Biotechnology and Biological Sciences Research Council