Two Introductory Bioinformatics Courses

New to Bioinformatics? Need a comprehensive introduction to the languages and environments needed to start analysing your genomic data? Edinburgh Genomics is pleased to announce we will be running two of our ever-popular introductory bioinformatics courses this March: Linux for Genomics - 13 March 2019 "Genomic studies produce vast amounts of data, usually in the form of very large text files. Linux is particularly suited to working with such files, and is therefore arguably one of the most important tools in a bioinformatician's toolkit. The Linux command-line enables one to view, filter and manipulate large text files that are difficult or impossible to handle with applications like Word or Excel, write pipelines to perform certain tasks, and run bioinformatics software for which no web interface is available. In this workshop we will first cover the most used Linux commands, followed by a short introduction to several popular command-line tools that were especially developed for genomics as well as file formats commonly used in genomics (BED, FASTA, FASTQ, GFF/GTF, SAM/BAM, VCF)." Duration: 1 day (9am - 5pm) Location: Ashworth Laboratories, Kings Buildings Edinburgh, EH9 3FL Spaces: 12 Cost: £225 More information: https://genomics.ed.ac.uk/services/linux-genomics Register: https://www.surveymonkey.co.uk/r/WNC23SS And R for Genomics 14-15th March 2019 "The aim of this course is to introduce participants to the statistical computing language 'R' using examples and skills relevant to genomic data science. This two day workshop is taught by experienced Edinburgh Genomics' bioinformaticians and trainers. By the end of the workshop, you will be comfortable with the basics of the R and R studio environments, learning about the rules of the language and how R works with different data types. We then move on to using functions, including those specific to genomic science. We look at how to handle various genomic data files and where to find relevant tools via online resources. Finally we use mock RNA-seq data to learn how to visualize your data to generate publication ready plots using the package ggplot2." Duration: 2 days (9am - 5pm) Location: Ashworth Laboratories, Kings Buildings Edinburgh, EH9 3FL Spaces: 12 Cost: £400 More information: https://genomics.ed.ac.uk/services/r-genomics Register: https://www.surveymonkey.co.uk/r/WJMTXNJ If you have any specific questions about these, or any other, courses at Edinburgh Genomics please contact our Training team at edge-training@ed.ac.uk Not the courses you were looking for? Let us know what courses you would like to see us run in the future by filling out this quick training needs survey: https://www.surveymonkey.co.uk/r/7M6QB2D Kind Regards Nathan Medd Training and Outreach Manager - Edinburgh Genomics G.06, Ashworth Laboratories, Charlotte Auerbach Road, The King's Buildings, The University of Edinburgh, EH9 3FL, Edinburgh, Scotland 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.

Transcript identification and quantification through RNA sequencing is a key tool throughout the life sciences. With so many workflows now available, making a start analysing your own RNA-seq data can be a bewildering experience. Let our expert bioinfomaticians guide you through a tried-and-tested RNA-seq data analysis workflow at the country's leading open-access genome facility. Our ever-popular 'Introduction to RNA-seq Data Analysis' workshop will be running again this spring on the 9-10th May 2019 at the Kings Buildings campus, University of Edinburgh. This course covers the following topics: * Introduction to Next Generation Sequencing * Quality control and data pre-processing (FastQC, cutadapt) * Mapping to a reference genome (STAR, SAMtools) * Visualisation of mapped reads (SAMtools, IGV) * Introduction to R (R, Rstudio) * Estimating gene count (featureCounts) * Differential expression analysis (R, RStudio, edgeR, rtracklayer, ggplot2, pheatmap) * Functional analysis (GSEABase) The two day course costs £400 including lunches and refreshments. For more information see our training website at http://genomics.ed.ac.uk/services/introduction-rna-seq-data-analysis or to sign up fill out this form at https://www.surveymonkey.co.uk/r/736PQLC If you have any further questions about the course or any others that we provide please drop us a line at edge-training@ed.ac.uk<mailto:edge-training@ed.ac.uk> Not the course your looking for? Tell us what training courses you need in this short survey https://www.surveymonkey.co.uk/r/7M6QB2D Kind Regards Nathan Medd Training and Outreach Manager 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.
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