Bioinformatics Shared Resource

The Department of Medicine (DOM) Bioinformatics Shared Resource, part of UR Genomics Research Center, provides computational analysis and support services for biomedical data including next-generation sequencing. Our mission is to accelerate scientific discoveries by guiding experimental design, performing robust data quality assessment, carrying out comprehensive computational analyses, and integrating multi-modal biomedical datasets to provide insights into biological function and mechanisms of disease. We contribute to all aspects of the research cycle, including generating ideas and preliminary results for grant applications; performing data management, analysis, and interpretation; and preparing manuscripts for publication.

We generally support two types of analyses through this program, including both basic/standardized and advanced/customized analyses. These are described in more detail below, and while basic/standardized analyses will always be supported, support for advanced/customized analyses will be dependent on the specific request. 

1. Basic/Standardized Analyses
   Examples include quality assessment and processing of the most common types of genomics data (e.g., DNA-seq, RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, spatial transcriptomics) using established computational pipelines.
2. Advanced/Customized Analyses
   Such analyses typically involve integration of multiple types of genomics data, development of new computational workflows, and mining of publicly available data.
   
   The DOM Bioinformatics Shared Resource is committed to providing bioinformatic support to mentored trainees and faculty performing excellent science who do not have current funding available to cover those activities. The program was implemented on July 1, 2025. Resource staff includes Dr. Hannah Aichelman, PhD (Genomics Research Center) along with support from other GRC bioinformaticians. Access to the Shared Resource Bioinformatics support is provided through a REDCap tool, and trainees should please include their mentor’s name in the request. Resource staff will additionally host office hours, and investigators can schedule 30-minute meeting slots in advance through a Microsoft Bookings tool.

Request Bioinformatics Support Schedule Office Hours

Questions?

If you have any questions related to this program, please directly reach out to Laura Calvi Laura_Calvi@URM.Rochester.edu, Valentina Kutyifa Valentina_Kutyifa@urmc.rochester.edu, or Stefanie Fingler Stefanie_Fingler@URMC.Rochester.edu.