$75 – $150

Bioinformatics: Using R to find Genes for Disease

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Genspace

132 32nd Street

Suite 108

Brooklyn, NY 11232

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Saturday and Sunday, January 26 and 27 from 10am-1pm

How do we find genes that have a true statistical signficance and a biological relevance? This two day course will highlight methods of finding genes involved in a disease using statistical methods, visualizations, and biological networks. We will highlight how to use the free statistical package R on the first day and then work through a biological data set on the second day.

The age of genomics has given us powerful new tools for finding the source of genomic dysfuntion of many diseases. However, having more information has also brought new challenges. Oftentimes, we suffer the ”curse of dimensionality”. This curse occurs because there are so many genes, but not as many samples of a given diseased population. In this workshop, you will learn how to use R, a programming language and free software environment, to apply statistical analyses to biological data sets, unlocking new ways of understanding the role of genes in disease.

No previous experience with these topics is necessary- beginners are welcome!

Niraj Trivedi has had over 20 years of experience in biomedical research. Graduating from Boston University with his B.S. degree in biomedical engineering and his M.S degree from Case Western Reserve University in biomedical engineering, his early work was in the field of biomedical optics, specifically in the field of photodynamic therapy, a laser activated cancer therapy. He then entered industry where he focused on microarray technology in all its aspects: working on the instrumentation of scanners, spotting and preparing arrays, hybridizing arrays with mRNA and analyzing the arrays. He then went back to academia to focus on the field of bioinformatics, where he obtatined his second M.S. degree from Boston University. He has now spent the last 7 years at the NIH as a data analyst on bioinformatics and social science data.

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Date and Time

Location

Genspace

132 32nd Street

Suite 108

Brooklyn, NY 11232

View Map

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