Warning! This email originated from outside of PSB. Do not click links or open attachments unless you recognize the sender and know the content is safe. -------------------------------------- Do you have a project planned that involves RNAseq or single cell analysis? Or looking to gain skills in exciting new areas of genomics? Our upcoming courses are a great way to dive in, and gain new skills and hands on experience! Whether you have prior experience in data science and looking to try something new, or are taking your first steps into more complex data analysis, our series of courses will help you to gain all the skills you need to effectively undertake projects and analyse data. RNA-seq Data Analysis

17 - 20 September https://genomics.ed.ac.uk/event/rna-seq-data-analysis-2/ 25 - 28 November https://genomics.ed.ac.uk/event/rna-seq-data-analysis/

From planning an RNA-Seq experiment to drawing biological conclusions from your data, our expert taught workshop will guide you through every step of data analysis. Learn to avoid common pitfalls and fully exploit this powerful technology to delve into the transcriptome of any organism with our upcoming expert taught online RNA-Seq analysis workshops. Single Cell RNA-Seq Data Analysis

12 - 13 September https://genomics.ed.ac.uk/event/single-cell-rna-seq-data-analysis-2/

Take your RNA-Seq analysis to the next level with single cell RNA-Seq. This technology allows insights with an unpredicted level of detail, but that brings a new level of complexity to the data analysis. Learn how to plan your experiment, deal with some of the many pitfalls when analysing your data, and effectively gain exciting new biological insights with our upcoming expert taught online scRNA-Seq analysis workshop. Attending these courses, and undertaking RNA-Seq data analysis in general, requires a good working knowledge of both Linux and R. If you feel you’re currently struggling in these areas, you can attend our upcoming courses in these to prepare: R for Biologists

9 - 11 September https://genomics.ed.ac.uk/event/r-for-biologists/ 20 - 22 November https://genomics.ed.ac.uk/event/r-for-biologists-3/

Join our online workshop to learn R, the powerful statistical computing language, tailored to biological data science, Whether you’re handling data, performing analysis, or creating stunning visualisations, this course has you covered! You’ll also practice making graphs and publication ready figures using mock RNA-Seq data. What you’ll learn: * Get comfortable with R and RStudio * Work with vectors and complex data structures * Load, clean, and explore data * Create beautiful graphs with ggplot2 * Apply your skills to your own datasets Introduction to Linux for Genomics

23 - 24 September https://genomics.ed.ac.uk/event/introduction-to-linux-for-genomics/ 29 - 30 January https://genomics.ed.ac.uk/event/introduction-to-linux-for-genomics-3/

Dive into the world of bioinformatics with our Intro to Linux for Genomics course! Whether you’re new to Linux or looking to enhance your bioinformatics skills, this course will equip you with the essential tools to navigate and analyse genomic data efficiently. Learn to harness the command line, write shell scripts, and manage large datasets and processes - al tailored for genomics research. What you’ll learn: * Learn how to navigate through the file system * Use basic commands to manage and set permissions for files * Download remote files and learn to zip/unzip them * Construct more complex commands using pipes and redirects * Learn pattern matching to manipulate file content * Write your vert first shell scripts * Manage processes running on the system * Familiarise yourself with some genomics tools run from the command line If you have any questions, feel free to reach out. We hope to see you on one of our courses soon! Kind regards, Dr Kathryn Campbell Genomics and Bioinformatics Training Coordinator - Edinburgh Genomics School of Biological Sciences University of Edinburgh Email: kcampb2@ed.ac.uk [C0537FE1-6FA3-49DE-BC61-6312CF32C502.png] ======================================================== 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. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.