Feb 22-23, 2016
9:00 am - 4:30 pm
Instructors: Marianne Corvellec, Matt Dickenson
Helpers: Maneesha Sane
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.
This workshop is focused on working with genomics data.
We will cover Module 1: Workshop Introduction
Module 2: Using cloud computing for genomics, Module 3: Introduction to the command line, Module 4: Data wrangling and processing and Module 5: R for data analysis and visualization. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Who: The course is aimed at graduate students and other researchers.
Contact: Please mail SKhuri@med.miami.edu for more information.
|9:00||Module 1: Workshop Introduction |
Module 2: Using cloud computing for genomics
|12:00||Lunch break (on your own)|
|13:00||Module 3: Introduction to the command line|
|9:00||Module 4: Data wrangling and processing|
|9:30-10:10||Presentation from Institute for Bioethics and Health Policy|
|12:30||Lunch break (on your own)|
|13:30||Module 5: R for data analysis and visualization|
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions
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.