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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 Biomedical Informatics 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.
The BISR utilizes various types of data-intensive techniques for comprehensive and integrative analysis of high-throughput high-dimensional biological data. By working closely with OSUCCC-James researchers, BISR customizes and implements various data analysis workflows to meet the unique needs of their project, interprets and presents results together, contributes to publications and grant applications, and integrates into the research team. The BISR also assists researchers with the identification of relevant public domain data, other local data, and commercial data sources, and implements mining and integrative analysis of these datasets, to fully reveal potential of the locally generated data, generate new hypotheses, and validate findings. In addition, the BISR provides big data management and sharing (DMS), analysis workflow development and standardization, novel bioinformatics tool development, and Cloud computing services to OSUCCC–James investigators.
The BISR regularly provides 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.
Dr. Dongjun Chung is Associate Professor in the Department of Biomedical Informatics at The Ohio State University College of Medicine, Director of the BISR and a member of the Center for AI and Bioinformatics in Immuno-Oncology (CATION) 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. Dr. Chung received his Ph.D. in Statistics from the University of Wisconsin at Madison and completed postdoctoral training in bioinformatics and biostatistics at Yale University.

Dr. Maciej Pietrzak is the Technical Director of the Biomedical Informatics Shared Resource (BISR) and a Research Associate 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.
Dr. Pietrzak’s work focuses on application of computational and mathematical methods to study biological systems and gene function, particularly in cancer research. Prior to transitioning into computational biology, Dr. Pietrzak studied cellular processes such as cell proliferation and programmed cell death, at the molecular level, identifying mechanisms and signaling pathways that shape cellular responses to environmental stimuli.
Dr. Pietrzak earned 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 Toruń, Poland. He completed postdoctoral training in neuroscience at the University of Louisville Spinal Cord Injury Research Center, followed by post doctoral in bioinformatics and computational biology at The Ohio State University Mathematical Biosciences Institute (MBI) and Center for Pharmacogenomics.
- BISR faculty:
- Amy Hite, PhD
- Qin Ma, PhD
- Anjun Ma, PhD
- Lijun Cheng, PhD
- Bioinformaticians:
- Garrett Kinnebrew, MD
- Kairavee Thakkar, PhD
- Ayse Selen Yilmaz, MS
- Patrick Stevens, MS
- Shaohong Feng, MS
- Project manager: Ian Chiofolo
- 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 Biomedical Informatics Shared Resource at The Ohio State University Comprehensive Cancer Center, Columbus, OH for (XX)
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