ICB3 is pleased to offer a one-day Summer Training Institute for Reproducible Research with R – STIRRR 2013: Data Sciences for the Life Sciences in a High-Performance Computing Environment – on August 27.
Space is limited. Register now.
Why? Ensuring reproducibility of biomedical research applications is a pillar of modern computational data science. Reproducible research is defined by the use of literate programming technologies and sound analytical principles. STIRRR offers a foundational curriculum in life scirnces research using R and high-performance computing for "big data" applications.
What? The workshop will take place at the Massachusetts Green High Performance Computing Center (MGHPCC), a new state-of-the-art facility dedicated to research-oriented computing. STIRRR offers the first opportunity for life sciences researchers to learn how to effectively utilize the MGHPCC facility for their research and become early-adopters of this world-class resource.
Participants will learn how to leverage powerful tools for high-performance computational research using R, such as:
* knitr & R Markdown
When? Tuesday, August 27, 2013 – 8am to 6pm (all meals for the day included)
Where? The Massachusetts Green High Performance Computing Center (MGHPCC) – 100 Bigelow Street, Holyoke, MA
Who should attend? STIRRR 2013 is designed for researchers from academic and industry environments. STIRRR welcomes participants from diverse disciplines. Basic familiarity with the R statistical computing environment is recommended. Those new to R will be encouraged to complete an excellent, free on-line tutorial prior to attending.
Is your organization interested in supporting STIRRR? For more information about sponsorship opportunities download information about the benefits and contact ICB3’s director, Dr. Andrea Foulkes.
8:00 - Registration and networking
9:00 - Session 1: Principles of reproducible research
10:15 - Break and networking
10:45 - Session 2: Introduction to cluster computing and applications
12:00 - Lunch and networking
1:15 - Tour of the MGHPCC
1:45 - Session 3: Simulation and parallel computing with R
3:00 - Break and networking
3:30 - Session 4: Topics in Big Data Sciences for the Life Sciences
4:45-6:00 - Closing Reception