Analysis of public microarray data using Genevestigator

Trainer St├®phane Plaisance
BITS Courses TRAINING AT VIB

Goal

  • Understand what Genevestigator is
  • Learn how to use Genevestigator to characterize your genes of interest
  • Identify and prioritize novel targets or biomarkers
  • Interpret lists of genes by grouping them by their response to biological contexts
  • Learn how to combine Genevestigator with other software to answer biological questions

Summary

The morning session will give you an overview of the possibilities of Genevestigator, a search engine of curated and normalized publicly available gene expression data. The interface allows you to visualize spatio-temporal (tissue - developmental stage) and perturbational gene expression information of many species in a user-friendly graphical way. The afternoon session will focus on the practical applications in a hands-on tutorial on Genevestigator followed by concrete examples of software that can be used to further interpret the results of your Genevestigator searches, like Ingenuity Pathway Analysis and DAVID. Finally, you will be able to work on the questions that you want to answer in your own research under the supervision of the trainer.

Participants are therefore encouraged to submit a description of the objectives of the analysis they want to perform.

Prerequisites

Basic understanding of biological processes. If you are a complete newbie to the field and you have no background knowledge of microarrays, you can also follow the introduction to Affymetrix microarray analysis training or consult the training material of this introduction.

BITS provides 15 laptops for their training sessions. Depending on the number of participants (max 20), it might be that you have to share the laptop with one other participant but you can also choose to bring your own laptop for this training session.

Schedule

See the TRAINING AT VIB website for a detailed schedule of this training.

Training material

Links

Scientific topics Gene expression data analysis, Gene expression, Biomarkers
Target audience Life Science Researchers, PhD students, post-docs