Advanced sequence analysis
The University of Manchester, United Kingdom
Language course is: English
Focus: Bioinformatics
Target audience education / assumed knowledge:
Undergraduate degree - biology, Undergraduate degree - computing/math
Educational certification/accreditation status:
The University of Manchester
Professional certification/accreditation status:
None
Degree Offered:
15 credits towards a Masters degree (3-5 years)
Key characteristics of program:
This advanced bioinformatics course is suitable for those with a first degree in either a biological science or in computer science. It covers the most recent methods for biological sequence analysis. It could be taken as an individual short course, for professional development, and could be combined with one of more units from our theme in Computational Systems Biology :-
Bioinformatics for Systems Biology
Mathematics for metabolic modelling
Computational Systems Biology
Bioinformatics for transcriptomics.
A student successfully completing four units can graduate with a Postgraduate Certificate. Those people who wish to complete the Masters degree will be required to successfully complete six modules and a research project.
This advanced bioinformatics course is suitable for those with a first degree in either a biological science or in computer science. It covers the most recent methods for biological sequence analysis. It could be taken as an individual short course, for professional development, and could be combined with one of more units from our theme in Computational Systems Biology :-
Bioinformatics for Systems Biology
Mathematics for metabolic modelling
Computational Systems Biology
Bioinformatics for transcriptomics.
A student successfully completing four units can graduate with a Postgraduate Certificate. Those people who wish to complete the Masters degree will be required to successfully complete six modules and a research project.
Program Goals:
The course provides an introduction to the data and methods for projects requiring Next Generation Sequence data analysis. It will cover :
genes, genomes and genome sequencing;
technologies for high throughput sequencing;
understanding the data;
mapping to a genome;
RNA-seq : quantification and differential expression;
ChIP-seq.
For practical work students will have accounts on our Galaxy server.
The course provides an introduction to the data and methods for projects requiring Next Generation Sequence data analysis. It will cover :
genes, genomes and genome sequencing;
technologies for high throughput sequencing;
understanding the data;
mapping to a genome;
RNA-seq : quantification and differential expression;
ChIP-seq.
For practical work students will have accounts on our Galaxy server.
Additional Information
Year Program Established: 1998
Course/tuition costs: 1280 GBP
Scholarships/assistanceships may be available: No
Average number of applicants per year: 40
Average number of applicants accepted per year: 20
Average number of incoming students per year: 20
Average number of graduates per year: 20
Program URL: http://octette.cs.man.ac.uk/bioinformatics/modules/next_generation_sequencing.html
Contact Person: Heather Vincent ( [javascript protected email address])
Last updated: Jul 21, 2011
Course/tuition costs: 1280 GBP
Scholarships/assistanceships may be available: No
Average number of applicants per year: 40
Average number of applicants accepted per year: 20
Average number of incoming students per year: 20
Average number of graduates per year: 20
Program URL: http://octette.cs.man.ac.uk/bioinformatics/modules/next_generation_sequencing.html
Contact Person: Heather Vincent ( [javascript protected email address])
Last updated: Jul 21, 2011
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