AUG 22, 2013 10:00 AM PDT
Using Prostate Cancer Exome Data to Identify Candidate Genes
Presented at the Genetics and Genomics 2013 Virtual Event
CONTINUING EDUCATION (CME/CE/CEU) CREDITS: CE
60 46 2162

Speakers:
  • Senior Manager, NGS Applications, DNASTAR
    Biography
      Matthew Keyser is Senior Manager, NGS Applications for DNASTAR, where he has helped scientists address their sequence assembly and analysis challenges for the past seven years. Matts sole focus at DNASTAR is supporting customers in next-gen sequencing applications using DNASTARs broad software toolset. Matt helps customers with their templated and de novo assembly projects, transcriptomes, exomes, metagenomic assemblies, RNA-Seq, ChIP-Seq and numerous other unique experiments. Matt has helped hundreds of scientists optimize their workflows using DNASTARs next-gen software solutions. He has also spoken at numerous conferences and workshops regarding the capabilities of DNASTARs next-gen software tools.

    Abstract:
    In this presentation, exome data from individuals with prostate cancer will be aligned against an annotated reference human genome and SNPs will be identified using DNASTARs SeqMan NGen software. SNPs and associated genes from disease samples will be compared against numerous control samples and a list of genes known to be implicated in prostate cancer or other cancers to identify additional candidate SNPs and genes in sample data. All work will be done using DNASTARs Lasergene Genomics Suite software, which is available on desktop computers or on the Amazon Cloud. The integration of these capabilities within one software package facilitates fast, comprehensive analysis, helping researchers move quickly from raw next-generation sequence data to informative results.

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