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High-Throughput Genome Analysis Core

The High-throughput Genome Analysis Core (HGAC) is a state-of-the-art facility providing resources and services for ultra-high-throughput sequencing and large-scale microarray processing. Operated by the Institute for Genomics and Systems Biology, the HGAC facility is available to University of Chicago and Argonne National Laboratory investigators and their collaborators.

Services

The HGAC facility offers the following services:

  • — Solexa and 454 sequencing
  • — High-throughput microarray processing (expression and tiling arrays)

Technologies

Current technologies at HGAC include the following:

  • 454 sequencer (Roche GS-FLX). The 454 generates up to ~1,000,000 single reads with an average read length of 400 bases (~400 Mbp per instrument run). Current 454 applications include de novo sequencing, resequencing; discovery of small RNAs and detection of their relative abundances, detection of low-frequency (<5%) somatic mutations, uncovering the diversity in metagenomic samples, and transcriptome sequencing.
    [more info]
  • Illumina Solexa GAII. The Illumina Genome Analyzer generates 4-7 million reads at 36 bp per read, with eight lanes available per run. Each Solexa run can generate up to 2 billion bp of usable data. Applications on the Solexa include resequencing, digital gene expression (tag profiling, small RNA discovery and analysis), transcriptome, and ChIP-seq.
    [more info]
  • Microarray.
    [more info]
    • Tecan HS 4800. The Tecan HS 4800 Pro Hybridization Station can process up to 12 microarrays simultaneously.
    • Agilent SureHyb. Our SureHyb pipeline can process 48 slides simultaneously.

World-Class Genetic Research

The Institute for Genomics and Systems Biology and the HGAC facility are part of Argonne's Computing, Environment, and Life Sciences directorate, providing world-class computation power, software, and expertise critical to the acquisition, analysis, and interpretation of the unprecedented volume of genetic information being generated on advanced genomic platforms.