NIH Library Services Bioinformatics Bioinformatics Training

Bioinformatics Training

The NIH Library offers several bioinformatics courses that are available free to all NIH and HHS staff. Bioinformatics courses are usually held in the NIH Library Training Room unless otherwise noted. Registration is required to guarantee a seat and to receive any training materials associated with the class. ***New registration process: Registration for NIH Library Bioinformatics classes is managed by CIT using the HHS Learning Management System. Please log into this system before proceeding to register for classes. For assistance with registration, please contact CIT at 301.594.6248 or CITTraining@mail.nih.gov.

Sign up for the NIH Library e-news to receive announcements about bioinformatics classes and training opportunities. Standard bioinformatics classes, course descriptions and exercises can be found on the Bioinformatics Training Page.


2014

Practical Bioinformatics (FAES course BIOF 429)
Sep 1 - Dec 19

An Effective Bioinformatic Quality Control Method for Next-Generation Sequencing Data Analysis
Sijung Yun, Bioinformatics Contract Scientist (Yotta Biomed, LLC)
Developmental Biology Section, NIDDK
Nov 20, 12 - 1 pm

Abstract:

Next generation sequencing is a popular tool in biology and medicine. When one analyzes next generation sequencing (NGS) data, one of the first questions he or she would ask is whether or not to do the bioinformatic quality control, because NGS produces some base calls with high error rates. If one decides to do the quality control, which method would give in the best result? Currently, trimming is widely used compared to masking. However, this does not mean trimming is better in accuracy than masking. The speaker will discuss the false positive rate and false negative rate for trimming versus masking on a DNA-Seq study of mutant Caenorhabditis elegans data as confirmed by Sanger sequencing. A demo on how to do the preprocessing in Galaxy will be shown.


Exploring the Possible Responses of Cellular Signaling Pathways through Computational Modeling
Martin Meier-Schellersheim, Chief, Computational Biology Section
Laboratory of Systems Biology, NIAID
Dec 2, 3 - 4pm

Abstract:

Faced with the complexity of living systems, biomedical research has traditionally focused on strongly confined questions that could be answered with experiments providing ‘yes-or-no’ answers, for example, blocking a component A will modify the behavior of another component B’. Driven by recent advances in experimental techniques that permit high-throughput profiling of biological samples or acquiring high-resolution images at the sub-cellular level, the ambition of researchers has become to understand the function of entire networks of interacting components underlying physiological regulatory processes. Fortunately, we are currently witnessing break-throughs in computational capabilities that parallel those seen in the experimental realm. Using examples from cellular signaling pathways and cell migration assays I will discuss how computational approaches allow us to test hypotheses that could not be explored without such support. I will extrapolate to suggest that realistic simulations will be driving elements of biomedical research in the not too far future.


GeneSpring 12.6.1
Dec 4: 9 am - 4 pm

Introduction to R and RStudio
Dec 5: 9:30 am - 5 pm

Golden Helix "SNP and Variation Suite" (SVS) and VarSeq
Dec 10 & 11: 1 pm - 5 pm

Human Gene Mutation Database and Genome Trax
Dec 16: 10 pm - 12 am

Introduction to R and RStudio
Dec 19: 9:30 am - 5 pm


View previous courses on our archive page.