Discovery Centre, Mezzanine

This lecture series on statistical methods is run by Marek Gierlinski. These lectures were previously run as two separate series ('p-values and statistical tests' and 'Error Analysis'), which have now been combined. These are typically scheduled over a couple of weeks, and run in a lecture theatre. Advanced registration is not required for these.

Statistics Lecture Series Many statistical tests exist to allow for testing of significance amongst data sets, which typically produce a p-value, however these are frequently misunderstood and misused. These lectures introduce a range of statistical tests, explains the circumstances in which these are appropriate and how to interpret their outputs. The lectures also explore error in biological data sets, explaining the meaning of errors, and how these can be calculated in biological applications.

The core of our training program consists of a number of half-day modules which allow expertise to be developed across a range of disciplines.

Introduction to Bioinformatics An introduction to publicly available sequence and structure databases, and web-based analysis tools to interrogate them.
Introduction to Linux An introduction to working with Linux for those with little or no prior experience.
The HPC Cluster Need to carry out large-scale analysis? You will need to use the cluster. This module covers the organisation of the cluster hardware, installing software packages and submitting jobs.
Bash Scripting The bash shell offers much potential for streamlining and automating analysis without having to learn a full programming language.
Introduction to NGS This module introduces concepts around NGS data including instrument and library types, data formats and carrying out QC analysis and trimming of data.
Read Alignment Read alignment is a cornerstone of many NGS analysis processes. This module covers alignment of sequence reads to genome and transcriptome sequences, alignment formats and common refinements carried out on read alignments.
RNA-Seq Analysis Explore RNA-Seq experimental design, assessment of data and carrying out differential expression analysis and data visualisation tasks.
ChIP-Seq Analysis This module covers Identifying peaks in ChIP-Seq data, Understand differences in peak shape from different kinds of interaction, and identifying differential binding.
Small Genome Assembly An introduction to the concepts of genome assembly, assembly strategies, assembly of small genomes and automated annotation of prokaryotic genomes.
Variant Identification Understand the different categories of sequence variants, variant file formats and carry out variant identification and filtering processes, followed by assessment of variant impact.

Groups with specific training requirements can be provided with customised courses or workshops focusing on particular areas of interest, which can be delivered to groups or on a one-on-one basis. Custom course delivery is chargeable at our standard charge-out rates to cover the time required to prepare and deliver the course. Please contact us to discuss your requirements.