Course overview

This course is for people wishing to find out more about 'omics' technology and data management. Attendees will be instructed in the use of the relevant databases and associated software to analyse 'omics' data.

It will cover introduction to Linux - essential computing skills, sequence databases, genome browsers, algorithms for bioinformatics processing biological data, gene and genome analysis (focussing on microarrays), Sources of proteomic data, protein identification algorithms and targeted proteomics practical task, analytical aspects of metabolomics to include, NMR, LC-MS, GC-MS and CE-MS and other methods. Case studies are used to reinforce learning and understand resource implementation.

Learning outcomes

By the end of this course participants will be able to:

  • Demonstrate awareness of the current algorithms and software tools for processing experimental data in transcriptomic/proteomics/metabolomics. This will include molecular identification, quantitation, and the downstream statistics needed to infer new biological knowledge.
  • Understand the science underpinning the tools and algorithms mentioned above, and hence their applicability and limitations.
  • Effectively utilise currently available tools to analyse, visualise and interpret data of relevance to their employer. Demonstrate the potential that these technologies will play in determining biological pathway analysis, drug development and predictive biology.
  • Present scientific work and ideas in a range of written, oral and computer-based formats.
Additional Course Information

Areas covered on this course will include:

  • Introduction to the fields of genomics, transcriptomics, metabolomics, proteomics and bioinformatics.
  • Use of relevant databases and associated software to analyse "omics” data.
  • Use and application of bioinformatics for understanding of the functional roles of genes, metabolites and proteins and how they can be analysed using a variety of new technologies.
  • Introduction to Linux.
  • Case studies to reinforce learning and understand resource implementation.

This course will be assessed as follows:

Coursework 1; 50%; Practical coursework (4 x 1000 word report)
Coursework 2; 25%; Literature review (3000 words)
Presentation; 25%; Oral presentation (15-20 minutes)

Key facts

Course Dates
Course – 4 days - The course can be taken as a stand-alone training course but also makes up one of the optional courses of the Postgraduate Awards in AgriFood.
Entry Requirements
Graduate level or experienced within the bioscience industry.
IFST Membership
Your course enrolment also entitles you to one year of free membership to the IFST (Institute of Food, Science and Technology).
Course Provider
University of Nottingham
Course Arrangements
Full joining instructions will be confirmed by the course provider.
Course Location
University of Nottingham
Mixed Cohort
My AFTP training course has given me greater confidence day-to-day and more insight into the impact of new techniques and technologies.
Andy Russell - Fresh Produce Technologist, Bakkavor

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