School of Biological SciencesQuick Find: School of Biological Sciences (2 items) | Edinburgh Genomics Training courses (2 items) | School of Biological Sciences (1 item) School of Biological SciencesPlant Sciences Field Course - Norfolk, 2025DescriptionA week long field course in Norfolk
Zoology & Evolutionary Biology Honours Field Course - Urra 2025DescriptionA week long field ecology course at the Urra Field Centre, Andalucia.
Edinburgh Genomics Training coursesSingle-Cell RNA-seq Data Analysis course 23-25 June 2025DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS IN PERSON COURSE Single cell RNA-Seq offers many advantages over bulk RNA-Seq, but the richer data produced requires a more complex analysis. In this course we will learn about the advantages of single cell sequencing, and when it may be an appropriate choice, how to perform common types of data analysis, and to spot and deal with potential problems. We will analyse 10X genomics data with the R package Seurat. Who this course is forGraduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data. Requirements
Advanced Python for Biologists 1-5 September 2025DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE Edinburgh Genomics: Advanced Python for Biologists Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work. This workshop is aimed at people who already have a basic knowledge of Python. We will look at the parts of the language which are particularly useful in scientific programming. The workshop will use examples 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.Instructors: Dr. Martin Jones (Founder, Python for Biologists) Workshop format: Each session consists of a lecture followed by practical exercises. Each session uses examples and exercises that build on material from the previous one, so it’s important to attend all sessions. Description of the sessions can be found on the pdf you receive when signing up. Who should attend: This workshop is aimed at researchers & technical workers with a background in biology and knowledge of Python. Requirements Students should have enough biological/bioinformatics background to appreciate the examples and exercise problems (i.e. they should know what a protein accession number, BLAST report, and FASTA sequence is). Students should be familiar with the use of lists, loops, functions & conditions.
School of Biological SciencesData exploration with Python, 1-5th December 2025DescriptionPlease register here Edinburgh Genomics: Data Exploration with Python One of the strengths of the Python language is the availability of mature, high-quality libraries for working with scientific data. In this workshop we will see how to leverage these libraries to efficiently work with and visualise large volumes of data. This course is intended for researchers with Python knowledge who need to explore large datasets and quickly visualise patterns and relationships. We will concentrate on how best to use existing libraries with only a small amount of code! There will be opportunities to use your own data throughout. Instructor Workshop format Who should attend See web page for details Requirements See web page for details The workshop will now be online.
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