Next Generation Genome Sequencing with Illumina System

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Next Generation Genome Sequencing with Illumina System

The DNA Sciences Core at the University of Virginia Biomolecular Research Facility performs massively parallel genome sequencing with the Illumina system.

Commonly called next generation DNA sequencing, this technology uses a massively parallel sequencing approach to achieve an unprecedented high throughput and low per base cost, thus revolutionizing the concept and methodology of basic and medical genome research.  The Biomolecular Research Facility uses an Illumina GA II Genome Analyzer which can generate billions bases of high quality sequence data in a single run, using the Solexa sequencing technology and a novel reversible terminator chemistry. The Biomolecular Research Facility has equipped the system with high capacity data storage and data reprocessing capability.

Applications

Genome DNA sequencing using single or paired-end reads

  • Discover and confirm SNPs
  • Identify chromosomal rearrangements, including Copy Number Variations (CNVs)
  • Map break points
  • Detect rare variants

Digital gene expression

  • novel RNA discovery
  • accurate quantification of low abundance RNA
  • orthogonal microarray validation

ChIP-Seq for genome-wide identification of binding sites

  • Transcription factors
  • Polymerases and transcriptional machinery
  • Structural proteins such as histones and histone variants
  • Protein modifications such as methylated histones and phosphorylated proteins

Sample Submission

The Illumina GAll is located in Room 1044 Jordan Hall. 
Samples should be brought to Alyson Prorock in room 1071.

Before submitting samples please fill out an online order:
https://genes.med.virginia.edu/illumina_lims/login.pl

For help setting up an account or questions about sample submission or sample prep, please contact Alyson Prorock (434.243.9689, ajp7x@virginia.edu ).Please contact Yongde Bao (434.924.2553, yb8d@virginia.edu ) for experiment design and data analysis questions.

Data Analysis

For advanced data analysis, contact the Bioinformatics Core