The goal of the Bioinformatics Training and Education Program (BTEP), established by the Office of Science and Technology Resources (OSTR), is to increase the awareness and understanding of bioinformatics techniques and processes among CCR scientists, and to empower CCR scientists to perform a basic, informed set of analyses on their own behalf.

These training classes address the practical aspects of acquiring, representing, and analyzing complex biomedical data sets. Relevant theory and experimental design are also discussed. The goal is to provide both analytic recipes and to ensure better understanding of the theoretical and practical aspects of sound analytical technique.

NIH Bioinformatics Calendar – Upcoming events

Hints on using the calendar, a grid view of the calendar and a view with past events  is also available.



Event Organizer

Past & Future Events


23jan(jan 23)1:00 pm15feb(feb 15)2:15 pmR Introductory Course Series 2023offered by BTEPMeeting Link

24jan(jan 24)1:00 pm14feb(feb 14)3:00 pmIntroduction to Unix on BiowulfMeeting Link

07feb9:00 am12:00 pmDeep Learning by Example on Biowulf - Class #6

07feb(feb 7)12:00 pm08(feb 8)4:00 pmVariation to Biology: Optimizing Functional Analysis of Cancer Risk Variants

08feb11:00 am12:00 pmPoisson Hurdle Model-based Clustering for Microbiome Data

09feb1:00 pm2:00 pmNCI-wide MATLAB License Launch Event

15feb1:00 pm3:00 pmOxford Nanopore Technologies (ONT) and 10X Genomics Technology SeminarJOIN WEBEX MEETING

22feb1:00 pm2:00 pmData Management and Sharing: Part 1

23feb10:00 am11:00 amCoding Macros in SAS

27feb1:00 pm2:00 pmData Wrangling in R: Part 1offered by the NIH Library

28feb1:00 pm2:00 pmData Wrangling in R: Part 2offered by the NIH Library


01mar10:00 am11:00 amIntroduction to Project Management in RStudio

02mar10:00 am11:00 amWorking with Git in RStudio

03mar10:00 am11:00 amPython for Data Science: How to Get Started, What to Learn, and Why

06mar12:00 pm1:00 pmMATLAB Medical Image Processing Techniques

07mar10:00 am11:00 amReproducibility in RStudio: Basic Markdown

07mar1:00 pm4:00 pmOverview of Statistical Concepts: Part 1

09mar10:00 am11:00 amReproducibility in RStudio: Advanced Markdown

14mar12:30 pm4:45 pmOverview of Common Statistical Tests: Part 3

14mar1:00 pm2:00 pmIntroduction to Data Visualization in R: ggplot

15mar12:00 pm1:00 pmHands On Virtual Lab: Machine Learning

15mar1:00 pm4:00 pmA Review of Epidemiology Concepts and Statistics: Part 4

16mar1:00 pm2:00 pmIntroduction to Data Visualization in R: Customization in ggplot

23mar12:00 pm1:00 pmPre-Cancer Atlases of Cutaneous and Hematologic Origin


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