Health Sciences Core Research Facilities

Guide to Getting Started


This guide will help you find local resources that are available to Pitt investigators for designing experiments, sequencing samples, analyzing data, and storing data for research involving Next Generation Sequencing (NGS). Faculty and staff are available at each facility to assist you with identifying the technology application best suited to answering your research question and to assist with moving the project to the next step in the process, including referrals to other facilities. 

  • Quick Reference Card for the experienced user who knows what he or she needs. This table provides a list of resources with links to the related facility web sites.

  • Initial Consultation to help you identify where to start and direct you to the appropriate resources based on your project goals. Deborah Hollingshead; hollings@pitt.edu; (412) 648-1284

  • Review the Concise Resource Summary below.

Concise Resource Summary

Study Design and Technical Project Design Consultation

Sequencing

Bioinformatics Analysis

High Performance Computing

  • Center for Research Computing: Software, Computing, and Data Storage. Consultation to improve bioinformatics workflows and assistance with adopting software for new types of data is available. Use of computing is free and is limited to two million service units per year (e.g., 2 million core hours of computing time). Data storage up to 5 TB is free when the computing resources of this facility are utilized. Users uncertain of their needs should consult with CRC personnel before contacting the Pittsburgh Supercomputing Center.
  • Pittsburgh Supercomputing Center: Software, Computing, and Data Storage. Consultation to improve bioinformatics workflows and assistance with adopting software for new types of data is available. Use of computing is free, but access requires the investigator to submit a formal application and compete nationally for usage hours. Use of this facility should be considered when the computing need exceeds two million core hours of computing time per year.