Up Coming Events

Why is n always 3? An Introduction to Statistics in Computational Biology in R

This hands-on workshop led by Charles Lin, Baylor College of Medicine, will introduce biostatistics approaches to novice users. The goal is to “de-mystify” approaches to manipulate, understand, and analyze large datasets that might otherwise seem like “black boxes”. The workshop will take place from 11-3, and will consist of one 90 minute session before lunch and one 90 minutes session after lunch. In the first session, attendees will use the R statistical computing software to understand characteristics of large multidimensional datasets. Here they will explore how outliers and distributions can affect underlying assumptions of data, and will implement a variety of statistical approaches to quantitatively characterize datasets. In the second session, they will learn to use simulations to explore the concept of statistical power, specifically how noise and replicates shape the statistical power of different analyses. Attendees will be provided example code and datasets. R is required for the workshop, but no prior experience is needed. Sponsored by the Gulf Coast Consortium for Bioinformatics. BioScience Research Collaborative, Room 280. Questions, please contact Suzanne Tomlinson.

 

REGISTRATION IS FULL. EMAIL DAWN KOOB TO BE PLACED ON WAITLIST.

  • May 2, 2017
    11:00 am - 3:00 pm

Why is n always 3? An Introduction to Statistics in Computational Biology in R

This hands-on workshop led by Charles Lin, Baylor College of Medicine, will introduce biostatistics approaches to novice users. The goal is to “de-mystify” approaches to manipulate, understand, and analyze large datasets that might otherwise seem like “black boxes”. The workshop will take place from 11-3, and will consist of one 90 minute session before lunch and one 90 minutes session after lunch. In the first session, attendees will use the R statistical computing software to understand characteristics of large multidimensional datasets. Here they will explore how outliers and distributions can affect underlying assumptions of data, and will implement a variety of statistical approaches to quantitatively characterize datasets. In the second session, they will learn to use simulations to explore the concept of statistical power, specifically how noise and replicates shape the statistical power of different analyses. Attendees will be provided example code and datasets. R is required for the workshop, but no prior experience is needed. Sponsored by the Gulf Coast Consortium for Bioinformatics. Location: Baylor College of Medicine, Room # ABBR-R808.  Questions, please contact Suzanne Tomlinson.

 

REGISTRATION IS FULL. EMAIL DAWN KOOB TO BE PLACED ON WAITLIST

  • May 3, 2017
    11:00 am - 3:00 pm

2017 John S. Dunn Foundation Collaborative Research Award Program Informational Workshop May 5

The sessions will comprise three parts:
1. Overview of John S. Dunn Collaborative Research Award RFA.
2. A short workshop focused on how to prepare the components of a competitive pre-proposal.
3. An opportunity to review, discuss, and learn from previous applications.
The sessions will conclude with a Q&A session. You do not need to have identified a collaborative team to participate.

Workshop Leader: Phyllis McBride, PhD, Director, Proposal Development, Rice University

  • May 5, 2017
    9:00 am - 11:00 am

UTMB-SCSB 22nd Annual Structural Biology Symposium

Abstract submission deadline Monday, April 24

You and your colleagues are cordially invited to join us for the 22nd Annual Structural Biology Symposium to be held at Levin Hall on the University of Texas Medical Branch Campus on beautiful Galveston Island on Saturday, May 6, 2017. The meeting is organized by the Sealy Center for Structural Biology & Molecular Biophysics and co-sponsored by the Keck Center for Computational & Structural Biology. This year’s speakers include:
James Chou, Ph.D., Harvard Medical School
Rachelle Gaudet, Ph.D., Harvard University
Petr Leiman, Ph.D., Univ. of Texas Medical Branch
Daniela Nicastro, Ph.D., Univ. of Texas Southwestern Medical Center
Brian Shoichet, Ph.D., Univ. California San Francisco School of Pharmacy
Kylie Walters, Ph.D., Center for Cancer Research, National Cancer Institute
For more information, visit.

 Registration

  • May 6, 2017
    8:00 am - 6:00 pm

Rigor and Reproducibility Workshop June 9, 2017 

9:00 am – 5:00 pm

This interactive workshop, with organizers and/or discussion facilitators from all GCC institutions, will cover topics including Experimental Design (basic science, population science, and big data science), Analysis and Statistics, Data Management, and Publication and Reporting. Students and postdocs are encouraged to attend, and all are welcome. A pre- and post-assessment survey is required. A certificate of completion will be provided. Workshop is free. Lunch and coffee will be provided.

Questions? Contact Suzanne Tomlinson.

Rigor and Reproducibility Resource Page

 

  • June 9, 2017
    9:00 am - 5:00 pm