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Bioinformatics Facility


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:

  • Gene expression (bulk RNA-seq including single-cell RNA-seq both regular and spatial, smRNA-seq, Nanostring, legacy microarrays)
  • Gene regulation (ChIP-seq, CUT&RUN, ATAC-seq, epigenetic profiling, methylation assays)
  • 3D genome organization (HiC, Hi-ChIP)
  • Genome and transcriptome sequencing (alternate splicing, RNA editing, mutation detection, CNV)
  • Biomarkers (discovering markers in mRNA, miRNA and protein expression data)
  • Proteomic analyses (mass spectrometry-based spectra, LCMS, DIGE, RPPA, etc.)
  • Polymorphism genotyping (e.g. Single Nucleotide [SNP] and Copy Number variations [CGH], LOH)
  • Pathway and network analysis
  • Integration of multi-platform data
  • Other customized data analysis projects


  • 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 Wistar IT infrastructure
  • Dedicated servers
  • Access to storage and backup


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.

See recording of facility presentation.


National Institutes of Health (NIH) has introduced new standards for grant applications to address an increasing trend of reports of failure to replicate important basic/preclinical studies.

Contact Us

The Wistar Institute
Bioinformatics Facility
Room 218
3601 Spruce Street
Philadelphia, PA 19104


Andrew Kossenkov, Ph.D.
Assistant Professor, Scientific Director

Priyankara Wickramasinghe, Ph.D.
Associate Managing Director

Banu Chandra Karisetty, Ph.D.
Associate Wistar Scientist

Ying Ye
Bioinformatics Technician

Internal Advisors

Qin Liu, M.D., Ph.D., Professor

Facility Hours

9:00 a.m. – 5:00 p.m.
Monday – Friday