Webinar on NGS Gene Expression Analysis in GeneSpring GX 14.9 on 6th Sep, 8AM PST

Strandlife · 08-29-2017, 03:21 AM

Live webinar on NGS Gene Expression Analysis in GeneSpring GX 14.9

Speaker: Bandana Gupta, Application Scientist, Agilent Technologies Inc.
Date and time: September 6, 2017 at 8:00 a.m. PST

Abstract: GeneSpring GX’s newly introduced NGS Gene Expression Analysis workflow is designed to address the need of quickly analyzing processed RNA-Seq data by biologists. It allows expression profiling, statistical analysis and biological interpretation of quantified and normalized RNA-Seq data. The webinar will demo this workflow using lung adenocarcinoma RNA-Seq data from TCGA. It will describe steps to analyze and interpret processed RNA-Seq data, look at the biological context of significant genes in single as well as multi-omics environment and, visualize data in elastic genome browser using gene and transcript information from databases like UCSC, Ensembl, RefSeq, Gencode.

Registration link: http://genespring-support.com/conten...espring-gx-149

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08-29-2017, 03:21 AM	#1
Strandlife strandlife Location: All over the world Join Date: May 2013 Posts: 66	Webinar on NGS Gene Expression Analysis in GeneSpring GX 14.9 on 6th Sep, 8AM PST Live webinar on NGS Gene Expression Analysis in GeneSpring GX 14.9 Speaker: Bandana Gupta, Application Scientist, Agilent Technologies Inc. Date and time: September 6, 2017 at 8:00 a.m. PST Abstract: GeneSpring GX’s newly introduced NGS Gene Expression Analysis workflow is designed to address the need of quickly analyzing processed RNA-Seq data by biologists. It allows expression profiling, statistical analysis and biological interpretation of quantified and normalized RNA-Seq data. The webinar will demo this workflow using lung adenocarcinoma RNA-Seq data from TCGA. It will describe steps to analyze and interpret processed RNA-Seq data, look at the biological context of significant genes in single as well as multi-omics environment and, visualize data in elastic genome browser using gene and transcript information from databases like UCSC, Ensembl, RefSeq, Gencode. Registration link: http://genespring-support.com/conten...espring-gx-149