Introduction to NIH Bring Your Own Bioinformatics (NIH BYOB)

Keith Hughitt

(Note: Use the left and right arrow keys to change between slides)

Why BYOB?

  1. There are many people working somewhere along the spectrum between Biology to Computer Science / Informatics at NIH.
  2. There are a number of great meeting series at NIH that target this audience.. however, with a few exceptions, most of these tend to be focused on research, and not on the tools and methods used along the way.
  3. It's likely that many people are solving the same problems, indepdendently throughout NIH.
  4. Also, few socially-oriented meetings directed at people across this spectrum currently exist.

*Slides adapted from an earlier version of this presentation here

Goals

  1. Bring researchers, students, and developers across the spectrum together to share ideas, help each other out and learn about what others are researching at NIH.
  2. Short, practical tutorials and presentations
  3. Discussions relating to the presentation (and anything else on people's minds..)
  4. Have fun.

Who?

  • Anyone who is either working on or interested in topics that fall along this spectrum: researchers, students, post-docs, technicians, etc
  • Both those with experience and those who are interested.

Presentations

Presentations will typically be short (15-45 minutes) and may fall into a couple different categories:

  1. Low-level, focused tutorial on how to perform some particular task.
  2. High-level, broad tutorial describing some interesting tool or technology and how it might be used.

Of course, not all presentations will fall into these categories, and that's okay too.

Topics Covered

BYOB will include a very wide range of topics:

  • Bioinformatics
  • Computational Biology
  • Data analysis
  • Programming
  • Statistics
  • Machine Learning
  • Software pipelines
  • Visualization
  • Software Engineering
  • Reproducible Research

Upcoming talks

  • Thurs May 23 [B1C208] Introduction / "Bioinformatics advice I wish I learned 10 years ago" (Keith Hughitt)
  • Thurs June 20 [B1C211] Using Singularity Containers for Reproducible Research (Henoke Shiferaw)
  • Thurs July 18 [B1C208] Long reads: from mapping to genome assembly (Arang Rhie)
  • Thurs Aug 22 [B1C211] Organizing Data Science Projects (Justin Fear)
  • Thurs Sept 19 [B1C211] Making better use of Biowulf storage (Tim Miller)

Github

Slack

A NIH-BYOB Slack channel has been created to allow the discussions to continue after the meeting ends:

Slack

Related efforts:

Related efforts:

Questions / Ideas?