Advanced Python For Biologists
25 July - 29 May 2016
Edinburgh, United KingdomAdvanced Python For Biologists https://genomics.ed.ac.uk/advanced-python-biologists-july-2016 https://tess.elixir-europe.org/events/advanced-python-for-biologists-3b007f2f-c334-478c-8b5b-cdbb7a7ce5ee This workshop is aimed at people who already have a basic knowledge of Python and are interested in using the language to tackle larger problems. In it, we will look in detail at the parts of the language which are particularly useful in scientific programming, and at the tools Python offers for making development faster and easier. The course will use examples and exercises drawn from various aspects of bioinformatics work. After completing the workshop, students should be in a position to (1) take advantage of the advanced language features in their own programs and (2) use appropriate tools when developing software programs. 2016-07-25 09:00:00 UTC 2016-05-29 00:00:00 UTC The University of Edinburgh, Edinburgh, United Kingdom The University of Edinburgh Edinburgh United Kingdom EH9 3FD Bioinformatics Software engineering Biology    workshops_and_courses  
Introduction to Python for Biologists
12 - 16 December 2016
Edinburgh, United KingdomIntroduction to Python for Biologists http://genomics.ed.ac.uk/services/introduction-python-biologists https://tess.elixir-europe.org/events/introduction-to-python-for-biologists-d358d018-fabc-4a90-9b9c-cfd4475411f5 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. The workshop is structured so that the parts of the language most useful for bioinformatics are introduced as early as possible, and that students can start writing plausibly-useful programs after the first few sessions. After completing the workshop, students should be in a position to (1) apply the skills they have learned to tackling problems in their own research and (2) continue their Python education in a self-directed way. 2016-12-12 00:00:00 UTC 2016-12-16 00:00:00 UTC Edinburgh Genomics The King's Buildings, The University of Edinburgh, Edinburgh, United Kingdom The King's Buildings, The University of Edinburgh Edinburgh United Kingdom Software engineering Bioinformatics    workshops_and_courses  BioinformaticsComputerprogrammingPython
Introduction to RNA-seq Data Analysis
17 - 19 February 2020
Edinburgh, United KingdomIntroduction to RNA-seq Data Analysis https://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis https://tess.elixir-europe.org/events/introduction-to-rna-seq-data-analysis-5989e86e-a408-481d-b3c7-5a1413b0e4a6 RNA sequencing (RNA-seq) is quickly becoming 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. 2020-02-17 09:00:00 UTC 2020-02-19 17:00:00 UTC Kings Buildings, The University of Edinburgh, Edinburgh, United Kingdom Kings Buildings, The University of Edinburgh Edinburgh United Kingdom EH25 9RG RNA-Seq Genomics Bioinformatics Edinburgh Genomics Edinburgh Genomics Training Team - email@example.com   workshops_and_courses  HDRUK
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