Dear All We have some brand new and exciting courses for you at Edinburgh Genomics. As well as there still being space left on some of our established courses we are delighted to be offering a brand new course this August in the form of our Metagenomics and Metabarcoding workshop. So what ever your experience, training needs, or budget, we have a course for you this summer! Metagenomics and Metabarcoding - 28-30 August 2019<https://genomics.ed.ac.uk/services/metagenomics-metabarcoding> *BRAND NEW* <https://genomics.ed.ac.uk/services/introduction-python-biologists-0> This course focuses on the computational methods used to analyse the wealth of data produced by shotgun metagenomics and metabarcoding (Amplicon targeted metagenomics) studies. This course will provide you insights in to DNA metabarcoding analyses, from preprocessing and quality control of the raw data to the construction of OTU/ASV tables, taxon assignment, diversity analysis and differential abundance analysis using QIIME2. Further, you will also learn about methods to generate the reference-based profile to generate microbial community features like taxonomic abundances or functional profile and how to identify the ones characterizing differences between two biological conditions. You will then be introduced to methods used for assembly from metagenomics samples. Attendees will use tools to assemble metagenome assembled genomes (MAGs) from short read and long read data. We will discuss the different approaches and tools available for these assemblies and the benefits and limitations of each options. Tutors: Urmi Trivedi, Bioinformatician, Edinburgh Genomics; Amanda Warr, Research Geneticist, Roslin Institute; Rob Stewart, Bioinformatician, Roslin Institute; Albert Phillimore, Institute of Evolutionary Biology, University of Edinburgh (guest lecturer); Nathan Medd, Training and Outreach Manager, Edinburgh Genomics (demonstrator) Registration fee: £500 (including lunches and refreshments) Where: Peter Wilson Building, The Kings Buildings, Edinburgh Register here<https://www.surveymonkey.co.uk/r/8MKKK96> Introduction to Python for Biologists - 8-12 July 2019 *SPACES REMAINING*<https://genomics.ed.ac.uk/services/introduction-python-biologists-0> <https://genomics.ed.ac.uk/services/introduction-python-biologists-0><https://genomics.ed.ac.uk/services/introduction-python-biologists-0> Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work, from simple one-off scripts to large, complex software projects. This workshop is aimed at complete beginners and assumes no prior programming experience. It gives an overview of the language with an emphasis on practical problem-solving, using examples and exercises drawn from various aspects of bioinformatics work. Tutor: Dr Martin Jones (founder of Pythonforbiologists.com)<https://pythonforbiologists.com/> Registration fee: £550 (including refreshments) Where: James Clerk Maxwell Building, The Kings Buildings, Edinburgh Register here<https://www.surveymonkey.com/r/SF7YRKX> Network Analysis of High Dimensional Biological Data - 15 July 2019 <https://genomics.ed.ac.uk/services/network-analysis-high-dimensional-biological-data-15th-july-2019> *AT THE EDINBURGH BIOQUARTER* <https://genomics.ed.ac.uk/services/introduction-python-biologists-0><https://genomics.ed.ac.uk/services/introduction-python-biologists-0> This one day practical course is designed to introduce participants to the joys of networks, focusing on their application to biological research and in particular, their use in the analysis of complex data. The course will start by introducing the principles of networks and their use as a generic medium to understand the relationships between entities. It will then introduce participants to a new analysis platform, Graphia, going through the basics of its functionality for network visualisation and navigation, and demonstrating the tool‘s use in the exploration of large networks of protein interaction data and phylogenetic trees. Tutor: Prof Tom Freeman, Roslin Institute & Kajeka Registration fee: £45 (including lunch and refreshments) Where: Chancellors Building, BioQuarter (Little France Campus), Edinburgh Register here<https://www.surveymonkey.co.uk/r/H7PNDYF> Introduction to RNA-seq Data Analysis 5-7 August 2019 <https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis> <https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis> *NEW THREE-DAY FORMAT*<https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis> <https://genomics.ed.ac.uk/services/introduction-python-biologists-0> RNA sequencing (RNA-seq) is the method of choice for transcriptome profiling. Nevertheless, it is a non-trivial task to transform the vast amount of data obtained with high-throughput sequencers into useful information. Thus, RNA-seq data analysis is still a major bottleneck for most researchers in this field. The ability of correctly interpreting RNA-seq results, as well as knowledge on the intrinsic properties of these data, are essential to avoid incorrect experimental designs and the application of inappropriate analysis methodologies. The aim of this workshop is to familiarise researchers with RNA-seq data and to initiate them in the analysis by providing lectures and practicals on analysis methodologies. In the practicals Illumina-generated sequencing data and various widely used software programs will be used. Tutors: Frances Turner, Urmi Trivedi, Nathan Medd Registration fee: £500 (including lunches and refreshments) Register here<https://www.surveymonkey.co.uk/r/YDPZPSB> For more courses coming soon please check out our training web-page: https://genomics.ed.ac.uk/services/training Kind Regards Nathan Medd Training and Outreach Manager - Edinburgh Genomics -- ======================================================== Edinburgh Genomics' Privacy Notice can be viewed at: http://genomics.ed.ac.uk/about-us/privacy-notice This email and any attachments are confidential and intended solely for the use of the recipient(s) to whom they are addressed. If you have received it in error, please destroy all copies and inform the sender. ======================================================== The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.