The first half of this course runs: Tuesday 5th March (10am start), Wednesday 6th March, Thursday 7th March (3pm finish)

The second half of this course runs: Tuesday 19th March (10am start), Wednesday 20th March, Thursday 21st March (3pm finish)

This module will give the students a working knowledge of recent statistical approaches for analyzing modern genomic and genetic datasets. Students will learn about significance testing for genetic variants using logistic regression, multiple testing correction (using strategies such as Bonferroni and False discovery rate control), quantification of gene expression in RNA-seq data using expectation-maximization to determine ambiguous isoforms, differential expression testing using negative binomial model, and Bayesian network models for gene regulation.

Important please note:

We will make every attempt to accommodate Lancaster University staff and postgraduate research students on our courses. However, if a course becomes fully booked we reserve the right to give priority to students on the MSc in Statistics, MSc in Data Science, and external participants.

Details of course fees.

Payment: Once you have registered, please pay at the online shop.

This course is charged at the 3 day price.

https://online-payments.lancaster-university.co.uk/product-catalogue/courses/mathematics-and-statistics/short-courses-and-cpd/mps-research-unit-psc-short-courses-20182019

Accommodation Details: Can be found here.

Cancellation Policy

Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.

Topics covered will include:

Introduction to Molecular Biology.
Introduction to Human Genetics Studies.
Genome wide associations studies (QC, analysis, multiple testing correction, population stratification).
RNA-Seq gene expression analysis.
Differential Gene Expression.
Statistical Models for gene regulation.