Live webinar on Integrated Analysis using Metadata Framework and Correlation Analysis in GeneSpring 13 - Glioblastoma case study
Presented by Agilent Technologies and Strand Life Sciences
Abstract
Agilent Technologies GeneSpring® offers an intuitive and interactive environment for integrated analysis of transcriptomics, metabolomics, proteomics and NGS data within a biological context. This ability is now further enhanced by introduction of metadata framework and correlation analysis in GeneSpring 13.
Metadata analysis framework allows researchers to visualize the abundance profiles of samples alongside metadata such as clinical, physiological, or technology related information. Ideal for large datasets, metadata framework enables users to reveal tacit dependencies between characteristics of the subjects or samples and their gene, metabolite, or protein expression profiles. Correlation, on the other hand, is a statistical technique and measures the strength and directionality of linear relationship between two quantitative variables.
In this webinar, using the expression values, copy number and associated metadata for 173 Glioblastoma Multiforme (GBM) samples from TCGA, we will highlight and demonstrate the metadata framework and correlation functionality of GeneSpring. Specifically, we will focus on:
Speakers:
Dr. Durairaj Renu, Senior Applications Scientist, Strand Life Sciences
Dr. Carolina Livi, Bioinformatics Segment Manager, Agilent Technologies
Date and sessions
Session 1: Mar 31, 2015; SAPK/APFO; 9 PM PDT
Session 2: Apr 1, 2015; EMEA; 7 AM PDT
Session 3: Apr 2, 2015; AFO; 9 AM PDT
Register at: http://www.strand-ngs.com/webinar_registration
Presented by Agilent Technologies and Strand Life Sciences
Abstract
Agilent Technologies GeneSpring® offers an intuitive and interactive environment for integrated analysis of transcriptomics, metabolomics, proteomics and NGS data within a biological context. This ability is now further enhanced by introduction of metadata framework and correlation analysis in GeneSpring 13.
Metadata analysis framework allows researchers to visualize the abundance profiles of samples alongside metadata such as clinical, physiological, or technology related information. Ideal for large datasets, metadata framework enables users to reveal tacit dependencies between characteristics of the subjects or samples and their gene, metabolite, or protein expression profiles. Correlation, on the other hand, is a statistical technique and measures the strength and directionality of linear relationship between two quantitative variables.
In this webinar, using the expression values, copy number and associated metadata for 173 Glioblastoma Multiforme (GBM) samples from TCGA, we will highlight and demonstrate the metadata framework and correlation functionality of GeneSpring. Specifically, we will focus on:
- Identification of molecular subtypes in tumor samples using clustering and correlation analysis
- Relationship between molecular subtypes and copy number aberrations using metadata analysis framework
- Correlation analysis between mRNA and micro-RNA expression
Speakers:
Dr. Durairaj Renu, Senior Applications Scientist, Strand Life Sciences
Dr. Carolina Livi, Bioinformatics Segment Manager, Agilent Technologies
Date and sessions
Session 1: Mar 31, 2015; SAPK/APFO; 9 PM PDT
Session 2: Apr 1, 2015; EMEA; 7 AM PDT
Session 3: Apr 2, 2015; AFO; 9 AM PDT
Register at: http://www.strand-ngs.com/webinar_registration