Library

 BIOBASE Knowledge Library – PROTEOME™ Functional Analysis Solution and Its Applications in Next-Generation Sequencing (NGS) Variant Analysis

Dr. Jennifer Hogan
VP, Product Development, BIOBASE

Thursday, June 7, 2012
1:00 – 4:00 pm

Szybalski Room (1st Floor), Carnegie (Library & Archives) Building

 PROTEOME™’s powerful ontology search query system, with specialized tools for gene set analysis and pathway visualization, allows scientists working with mammalian, yeast, worm, and plant species to quickly find answers to questions relevant to their research. A specialized custom sequence annotation tool allows scientists working with other species to extend predictive functions to newly sequenced genes of otherwise uncharacterized genomes.

The training will be classroom style with hands-on demo and exercises. Examples will be provided and several laptops will be available for participants’ use, but feel free to bring your own laptop and search on your favorite genes/protein/diseases.

See introductory video at: http://www.biobase-international.com/product/proteome.

Agenda:

1:00 – 1:30 pm                   Overview of PROTEOME™ functional analysis solution

1:30 – 3:00 pm                   Hands-on demo and exercises

3:00 – 4:00 pm                   Applications of PROTEOME™ in NGS variant analysis

Objectives:

Beginning with a focus on the model system S. cerevisiae and then extending into a focus on mechanisms of human disease, participants will learn to:

Search for individual genes, diseases, and drugs by name to quickly access detailed summary reports without tedious and time consuming literature searches

• Browse for sets of genes, diseases, and drugs that share a desired set of characteristics, uncovering biologically relevant connections between seemingly disparate entities
• Map functional attributes to uploaded gene sets, filtering genes by the most important and relevant criteria
• Export annotated characteristics for a gene list
• Explore canonical pathways and build custom protein networks, overlaying known disease and drug associations
• Assign predictive functions to novel protein sequences

We will also discuss the application of PROTEOME™ data to two key challenges of NGS variant analysis, which can generate upward of 3,000,000 variants per sequenced human genome:

Mapping and identification of known, functionally relevant variations

• Identification and characterization of novel, functionally relevant variations