The ability to generate massive amounts of data with “omics” analysis begs the need for a tool to analyze and prioritize the biological relevance of this information. GeneGo provides a solution for using “omics” gene lists to generate and prioritize hypotheses with MetaCore. This tutorial highlights how to work with different types of data (genomics, proteomics, metabolomics and interaction data) beginning with how to upload gene lists and expression data (if available).
CCS invites you to participate in a Bioinformatics Seminar on Tuesday, June 14th, at 12:00 PM, in the Clinical Research Building, Room 692. Dr. Biju Issac presents, “Microarray Experiment Design: Sample Size Calculations.” Dr. Issac is an Associate Scientist with the Biostatistics and Bioinformatics Core in the Bioinformatics Division at the Sylvester Comprehensive Cancer Center. Read more “Bioinformatics Seminar, Tuesday 6/14/2011”
Researcher Leads Effort to Speed Up Drug Discovery
For chemists and other scientists who, like Stephan Schürer, Ph.D., are immersed in the early phases of new drug discovery, PubChem is a treasure trove. The largest public database of small molecule screening data accessible to anyone in the world contains thousands of experiments on hundreds of thousands of compounds with millions of values.