Overview

The Bioinformatics Shared Resource continuously develops new and efficient approaches to data analysis as a response to emerging research needs. Facility functions include: statistical analyses and computational modeling; advanced bioinformatics tools for integrative cancer biology; and data management. Routine data analyses include large scale information datasets (omics data) generated by high-throughput technologies, which address the following areas:

Services

Services

  • High-throughput data analysis:
    • Next generation sequencing data analysis
    • Single cell RNA-seq
    • Hybridization platforms (Nanostring, microarrays)
    • Low-density PCR arrays (mi-RNA, pathways, custom)
    • Proteomics and metabolomics data
    • Enrichment Analysis (Ingenuity, DAVID)
  • Comprehensive analysis of complex projects that require multi-platform data integration
  • Consultation and support of experimental design and customized bioinformatics services
  • Statistical consultation and predictive model building
  • Computational support for data management, high performance computing, and custom programming
  • Centralized computation resources, including data management and collaboration tools, sequence databases, homology algorithms, and other sequence manipulation tools
  • Web-based application/database development and management
  • Training: Genome Browser, Ingenuity, DAVID
  • Grant and publication support: results, methods, figures
  • Advanced biological models and illustrations

Equipment and Features

  • High-performance computational clusters
  • Integrated Wizko IT infrastructure
  • Dedicated servers
  • Access to storage and backup

Pricing

For pricing information, visit iLab or contact the managing director.

This facility is supported in part by a Cancer Center Support Grant (CCSG) awarded by the National Cancer Institute (NCI) to the Ellen and Ronald Caplan Cancer Center.