Two separate lecture series are run on statistical methods by Marek Gierlinski. These are typically scheduled over a couple of weeks, and run in a lecture theatre. Advanced registration is not required for these.
|P-values and Statistical Tests||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.|
|Error Analysis||This lecture series explores 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 Life Sciences 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.|
Custom Training Requirements
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.