Edinburgh Genomics Training coursesEdinburgh Genomics Training coursesIntroduction to Python for Biologists 3 - 7 June 2024DescriptionPlease sign up Here before paying for this face to face course Edinburgh Genomics: Introduction to Python for Biologists 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.
Instructor: Tim Booth Course Developer: Workshop format Who should attend See web page for details Requirements See web page for details The workshop will be held in person not online, you will be emailed details once you have registered. https://genomics.ed.ac.uk/services/training/introduction-python-biologists-0
Introduction to Metanbarcoding and Metagenomic Analysis, 16 - 19 April 2024DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE The ability to identify organisms from traces of genetic material in environmental samples has reshaped the way we see life on earth. Especially for microorganisms, where traditional identification is hard or near impossible, metagenomic techniques have granted us unprecedented insight into the microbiome of animals and the environment more broadly. Instructors Urmi Trivedi, Bioinformatician, Edinburgh Genomics Nathan Medd, Training and Outreach Manager, Edinburgh Genomics Heleen De Weerd, Bioinformatician/Analyst, Edinburgh Genomics Workshop format This live online workshop consists of presentations and hands-on tutorials. Who should attend Graduates, postgraduates, and PIs, who are using, or planning to use, metagenomic technology in their research and want to learn how to process and analyse the data produced. Requirements A general understanding of molecular biology and genomics. A working knowledge of Linux at the level of the Edinburgh Genomics Linux for Genomics workshop. https://genomics.ed.ac.uk/services/introduction-metabarcoding-and-metagenomics-analysis
Introduction to Long-Read Bioinformatics, 24-27 June 2024DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE Whole-genome sequencing (WGS) has been revolutionised by the development of long-read sequencing technologies in the last few years. Driven in no small part by Oxford Nanopore Technologies (https://nanoporetech.com/), we now have the ability to sequence long (kb+) single-molecule DNA fragments. Although these developments are expected to alleviate numerous computational challenges surrounding genome assembly they also bring some interesting bioinformatics challenges to which we have to adapt in order to get the most from this powerful technology. This exciting new course aims to introduce the principles and practice of long-read genome assembly and analysis using cutting-edge software and best practices tried and tested by our expert bioinformaticians here at Edinburgh Genomics. Who this course is forAside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line - our 1-day "Linux for bioinformatics" course is a suitable background. https://genomics.ed.ac.uk/services/introduction-long-read-bioinformatics
Single-Cell RNA-seq Data Analysis In-person course 23rd-24th May 2024DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS 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 19-23 August 2024DescriptionPLEASE 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. https://genomics.ed.ac.uk/services/advanced-python-biologists
RNA-seq Data Analysis 17-20 September 2024DescriptionPLEASE SIGN UP HERE BEFORE PAYING FOR THIS COURSE Edinburgh Genomics: RNA-seq Data Analysis RNA sequencing (RNA-seq) has become 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 to correctly interpret RNA-seq results, as well as knowledge of 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. Instructors: Urmi Trivedi, Frances Turner, Nathan Medd Workshop format The workshop consists of presentations and hands-on tutorials. Who should attend Graduates, 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 A general understanding of molecular biology and genomics. Experience of command-line computing and a working knowledge of R at the level of Edinburgh Genomics introductory courses. https://genomics.ed.ac.uk/services/rna-seq-data-analysis-september
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