Workshops and courses

Icon: 

Metabolite identification with the Q Exactive and LTQ Orbitrap

This 2-day course will provide a hands-on approach to teach the attendees about the latest techniques and tools available to perform metabolite identification in non-targeted metabolomics studies. The course will be led by experts working within the fields of metabolomics and chemical analysis and will include a significant proportion of hands-on experience of using mass spectrometers, software tools and databases. A maximum of four people will be working on each mass spectrometer in a session. We will apply these tools on the Q Exactive and LTQ-Orbitrap family of mass spectrometers.

Image Analysis for Biologists

This course will focus on computational methods for analysing cellular images and extracting quantitative data from them. The aim of this course is to familiarise the participants with computational image analysis methodologies, and to provide hands-on training in running quantitative analysis pipelines. On day 1 we will introduce principles of image processing and analysis, giving an overview of commonly used algorithms through a series of talks and practicals based on [Fiji](http://fiji.sc/), an extensible open source software package.

Introduction to Linux and Workflows for Biologists

Most high-throughput bioinformatics work these days takes place on the Linux command line. The programs which do the majority of the computational heavy lifting — genome assemblers, read mappers, and annotation tools — are designed to work best when used with a command-line interface. Because the command line can be an intimidating environment, many biologists learn the bare minimum needed to get their analysis tools working. This means that they miss out on the power of Linux to customise their environment and automate many parts of the bioinformatics workflow.

Biological Imaging Data Processing for Data Scientists

[The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis.

Biological Imaging Data Management for Life Scientists

[The Open Microscopy Environment](https://www.openmicroscopy.org/) (OME) is an open-source software project that develops tools that enable access, analysis, visualization, sharing and publication of biological image data. OME has three components: * OME-TIFF, standardised file format and data model; * Bio-Formats, a software library for reading proprietary image file formats; and * OMERO, a software platform for image data management and analysis.

Multiple biofluid and tissue types, from sample preparation to analysis strategies for metabolomics

This 3-day course will provide a comprehensive theoretical overview and hands-on training for the range of methods applied for sample preparation of complex biological samples for analysis applying LC-MS analysis. The course will be led by experts in the field to illustrate the different approaches that are available to analyse a range of biological samples and apply complementary liquid chromatography approaches to maximise the coverage of the metabolome. The course will be taught by experts in metabolomics who have experience of the analysis of microbial, plant and mammalian samples.

An Introduction to Solving Biological Problems with PERL

This course is aimed at those new to programming and provides an introduction to programming using Perl. During this course you will learn the basics of the Perl programming language, including how to store data in Perl’s standard data structures such as arrays and hashes, and how to process data using loops, functions, and many of Perl’s built in operators. You will learn how to write and run your own Perl scripts and how to pass options and files to them. The course also covers sorting, regular expressions, references and multi-dimensional data structures.

Introduction to metabolomics for the clinical scientist

The 1-day course in partnership with the Phenome Centre Birmingham will provide clinicians with an overview of the metabolomics pipeline highlighting the benefits of this technique to the medical field and an introduction to the Phenome Centre Birmingham and the MRC-NIHR National Phenome Centre. The course will provide a suitable introduction to metabolomics prior to taking additional training courses at either the Birmingham Metabolomics Training Centre or the Imperial International Phenome Training Centre.

Pages

Subscribe to RSS - Workshops and courses