General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

This Genomics workshop teaches data management and analysis for genomics research including:

• Best practices for organization of bioinformatics projects and data
• Use of command line utilities
• Use of command line tools to analyse sequence quality and perform variant calling
• Connecting to and using cloud computing
• Data visualistation using R

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Teaching Studio 3217, James Clerk Maxwell Building, Kings Buildings, Peter Guthrie Tait Road, Edinburgh. Get directions with OpenStreetMap or Google Maps.

When: 6-7 Dec 2018. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

• The room is wheelchair / scooter accessible.
• Accessible restrooms are available.

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email jennifer.daub@ed.ac.uk, g.peru@epcc.ed.ac.uk for more information.

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Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

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Schedule

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.

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Setup

To participate in this Data Carpentry workshop, you will need access to the R software described below and an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.