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Next-Generation Sequencing Data Management: Benefiting from the Data Bonanza

 

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Podcast

Please click here to download the following podcasts: 

In the Wake of the Flood 

Using VAAST to Identify Causative Mutations 

Taking NGS into the Clinic 

1000 Genomes Project: Cancer, Genetic Variation, and Drug Response 

Mapping Genomes in 3D 

The Human Microbiome Project: Next-Generation Sequencing and Analysis of the Indigenous Microbiota 

Building a Genome Sequencing Center: Managing and Mining Two Years of NGS Data 

Next-Generation Sequencing Data Analysis Conference


 

Register by May 25 and Save up to $350! 

Sequencing a genome is only the beginning. Several layers of analysis are necessary to convert raw sequence data into understanding of functional biology. First, error sources in the original raw data from multiple platforms and diverse applications must be accounted for. Then, as computational methods for assembly, alignment, and variation detection continue to advance, a broad range of genetic analysis applications including comparative genomics, high-throughput polymorphism detection, analysis of coding and non-coding RNAs, and identifying mutant genes in disease pathways can be addressed. CHI’s Next-Generation Sequencing Data Analysis conference combines unique perspectives from a variety of researchers, engineers, biostatisticians, and software developers involved in NGS data analysis

FEATURED SPEAKER:

Mark GersteinMark Gerstein, Ph.D., Albert L. Williams Professor of Biomedical Informatics, Molecular Biophysics and Biochemistry, Computer Science, Yale University

AGENDA TOPICS INCLUDE:

  • Assembly’s Role in Gene Annotation
  • Assembly and Alignment’s Role in Analysis
  • Analysis: Structural Variation
  • Analysis: RNA-Seq

HALF DAY SESSION FROM TODAY'S TOP SEQUENCING CENTERS!

Presentations from:

  • The Broad Institute
  • New York Genome Center
  • Cold Spring Harbor
  • Washington University
  • Yale University
  • J. Craig Venter Institute
 

Next-Generation Sequencing Generates Momentum


Next-Gen Sequencing

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