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Mon 20 Mar - Fri 24 Mar 2017
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building, Downing Site

Provided by: Bioinformatics


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MSt in Genomic Medicine - Advanced bioinformatics

Mon 20 Mar - Fri 24 Mar 2017

Description

This module introduces a deeper exploration of bioinformatics analysis of genomic data, providing a greater understanding of the different approaches to mapping and alignment of genome sequence data, programming and scripting, along with approaches for the detection and analysis of genomic changes, gene expression and network analysis.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Further details regarding eligibility criteria are available here
Sessions

Number of sessions: 5

# Date Time Venue Trainers
1 Mon 20 Mar 2017   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map I. Medina-Castello,  A.S.M.M. Hossain
2 Tue 21 Mar 2017   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map I. Medina-Castello
3 Wed 22 Mar 2017   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map I. Medina-Castello
4 Thu 23 Mar 2017   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Romina Petersen,  Dr Luigi Grassi
5 Fri 24 Mar 2017   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building, Downing Site map Edith Ross,  Michael Schubert
Objectives

After this course you should be able to:

  • Discuss the challenges, promises and pitfalls of moving from genome to whole systems analyses.
  • Access and handle appropriately a range of biological data types including genomic and transcriptomic data.
  • Employ basic tools for network analysis and network visualisation.
Aims

During this course you will learn about:

  • Analysis of genomic variation
  • RNA expression profiling using RNA-Seq
  • Genetic interaction networks
  • Methods and tools for network analysis and disease network re-construction
Format

Presentations, demonstrations and practicals

Registration Fees
  • Free for University of Cambridge students
  • £ 50/day for all University of Cambridge staff, including postdocs, and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
  • £ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
  • £ 100/day for all Industry participants. These charges must be paid at registration
  • Further details regarding the charging policy are available here
Duration

5

Frequency

Once a year

Theme
General

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