The James

OSUCCC Shared Resources

Biomedical Informatics Shared Resource


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Please remember to cite the Shared Resources!

Research reported in this publication was supported by The Ohio State University Comprehensive Cancer Center and the National Institutes of Health under grant number P30 CA016058.

We thank the XX Shared Resource at The Ohio State University Comprehensive Cancer Center, Columbus, OH for (XX)


The BISR supports advanced cancer research conducted by OSUCCC-James members by facilitating high-throughput, novel experiments that link multi-dimensional phenotypic and biomolecular data sets to address hypotheses related to cancer biology, treatment, and prevention.

We utilize various types of data-intensive techniques for comprehensive and integrative analysis of high-throughput high-dimensional biological data. By working closely with OSUCCC researchers, we customize and implement various data analysis workflows to meet the unique needs of their project, interpret and present results together, contribute to publications and grant applications, and integrate into the research team. We also assist identification of relevant public domain data, other local data, and commercial data sources, and implement mining and integrative analysis of these datasets, to fully reveal potential of the locally generated data, generate new hypotheses, and validate findings. In addition, we provide various data management and sharing supports as needed.

We regularly provide various workshops and seminars addressing bioinformatics questions and needs of OSUCCC researchers. The workshops contain hands-on activities, to help OSUCCC researchers to understand the process of data analysis and the interpretation of the results.

340C Lincoln Tower
1800 Cannon Dr.
Columbus, OH 43210

Phone: 614-688-9721
BISR@osumc.edu

Availability: Monday-Friday, 9 a.m. – 5 p.m. or by appointment


Meet the Team (back to top)

Dongjun Chung, PhD - Co-Director Dongjun.Chung@osumc.edu

Dr. Dongjun Chung is Associate Professor in the Department of Biomedical Informatics at The Ohio State University College of Medicine, the co-Director of the Biomedical Informatics Shared Resource (BISR) at the OSUCCC – James, and a member of the Immuno-Oncology Informatics Group (IOIG) at the Pelotonia Institute for Immuno-Oncology (PIIO). He has research interest in the development of statistical and computational methods for integrative analysis of genetic and genomic data with biomedical big data. . His current research focuses on the development of statistical and computational methods for the design and analysis of spatial and single-cell multi-omics experiments, bulk and single-cell T cell receptor sequencing (TCR-seq) data analysis, and multi-disease genetic analysis, along with their applications to immuno-oncology.

 

 

Lang Li, PhD - Co-Director Lang.Li@osumc.edu

Dr. Lang Li is the Professor and the Chair of the Department of Biomedical Informatics at The Ohio State University College of Medicine, and the co-Director of the Biomedical Informatics Shared Resource (BISR) at the OSUCCC – James. Utilizes electronic medical record data sources and medical informatics approaches to investigate risk factors (e.g., genomics and drug interactions) that predict either drug efficacy or adverse drug events. Dr. Li also uses public domain cancer genomics and transcriptomics data, as well as system biology and system pharmacology approaches, to investigate cancer drug resistance and cancer metastasis mechanisms. In particular, his lab focuses on target identification and drug response prediction.

 

Maciej Pietrzak, PhD - Technical Director Maciej.Pietrzak@osumc.edu

Dr. Maciej Pietrzak is Technical Director of the Biomedical Informatics Shared Resource (BISR) and a Research Assistant Professor in the Department of Biomedical Informatics at The Ohio State University. Dr. Pietrzak has an extensive background in molecular and cellular biology combined with expertise in bioinformatics and computational biology. His work in computational biology and bioinformatics fields is focused on applying computational methods and novel mathematical approaches to address systems biology and functional genomics questions. Previously, he studied cellular processes such as cell proliferation and programmed cell death, on a molecular level, identifying mechanisms and signaling pathways shaping cellular responses to environmental stimuli. Dr. Pietrzak received his Ph.D. in medical biology from the Mossakowski Medical Research Center, Polish Academy of Sciences in Warsaw, Poland and his M.Sc. in molecular biology form Nicolaus Copernicus University in Torun, Poland. He completed postdoctoral training in neuroscience at the University of Louisville Spinal Cord Injury Research Center and bioinformatics/computational biology in the Mathematical Biosciences Institute (MBI) and the Center for Pharmacogenomics at The Ohio State University.

  • BISR faculty:
    • Amy Hite, PhD
    • Qin Ma, PhD
    • Lijun Cheng, PhD
    • Anjun Ma, PhD
  • Bioinformaticians:
    • Ayse Selen Yilmaz, MS
    • Patrick Stevens, MS
    • Garrett Kinnebrew, MD
    • Cankun Wang, MS
    • Shaohong Feng, MS
  • Project manager: Robyn Kroeger

Available services (back to top)

  • Study design support and bioinformatics data analysis
  • Analysis of next generation sequencing (e.g., RNA-seq, Exome-seq, ATAC-seq, ChIP-seq), single-cell sequencing (e.g., scRNA-seq, scATAC-seq), spatial transcriptomics, and immunome profiling.
  • Grant proposal and manuscript preparation support
  • Integrative analysis of locally generated data sets with public domain data, other local data, and commercial data sources
  • Biomedical informatics and bioinformatics consultations, trainings, and workshops
  • Customization, development, and support of technologies to collect, store, and integrate heterogeneous biomedical data
  • Novel data analysis method development
  • Bioinformatics workflow standardization
  • Data management and sharing (DMS)
  • Cloud infrastructure development and management

Click here for full list of services and fees


Please remember to cite the Shared Resources!

Research reported in this publication was supported by The Ohio State University Comprehensive Cancer Center and the National Institutes of Health under grant number P30 CA016058.

We thank the XX Shared Resource at The Ohio State University Comprehensive Cancer Center, Columbus, OH for (XX)

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