Systems Biology Resources In 'Omics and Bioinformatics Program
The practice of precision medicine depends upon specialized research, developing novel technology, and advancing data interpretation through specialized analysis. The Mellowes Center onboards, adapts, and develops new methods allowing researchers to obtain consistent and reliable genetic and epigenetic data that can be analyzed quickly and efficiently. Our advancements in data science, bioinformatics (software tools for understanding biological data), genomics, molecular modeling, and other fields accelerate research to identify mechanisms by which genetic alterations lead to disease. These discoveries inform personalized treatments based on a patient’s unique genetic history and makeup.
Because of this specialty program, the Mellowes Center is able to offer researchers state-of-the-art shared resources in both ‘Omics and Bioinformatics. These shared resources rapidly adapt and evolve to ensure researchers have access to the most state-of-the-art methodologies and data analysis.
Additionally, the Center partners with the Data Science Institute (DSI) Division of Biostatistics and the Clinical and Translational Science Institute (CTSI) of Southeast Wisconsin to deliver researchers with robust data science support from bioinformatics to biostatistics to clinical informatics.
Mellowes Center Shared Resources
'Omics Research Services
The Center's ‘Omics Research Shared Resource team, led by Dr. Angela Mathison, is a highly experienced and passionate team ready to innovate, support, and further the growth and utilization of next generation sequencing (NGS) and high-throughput assays. The team checks quality to ensure consistent results from our state-of-the-art high-throughput equipment, providing an efficient implementation and development of methodologies for Cancer Genomics, Epigenomics, Molecular Pathology, and many more areas of translational research.
Bioinformatics Research Services
The Center's Bioinformatics Shared Resource team, led by Dr. Victor Jin, has extensive experience in the data analysis of various ‘omics-seq data, including DNA-seq, ChIP-seq, scRNA-seq, and many others. The team provides expertise in computational biology, big data management, essential scripting languages, as well as unique perspectives about data analytics to researchers. Additionally, the team offers development-based bioinformatics analysis services (DBAS), including analyzing new sequencing data types, integrating various data types, or re-analyzing existing data. These services further provide novel biological or biomedical insights that can ultimately change the practice of medicine, optimize data-driven healthcare, and ensure every individual benefits from a lifetime of tailored care.
Program Faculty
William Hogan, MD, MS
Mary T. and Ted D. Kellner Chair of Data Science; Director, Data Science Institute; Professor, Data Science Institute; Associate Director for Data Science, Mellowes Center for Genomic and Precision Medicine
Victor X. Jin, PhD
Linda T. and John A. Mellowes Endowed Chair of Bioinformatics and Data Analytics; Professor, IHE/Biostatistics
Gwen Lomberk, PhD
Chief, Division of Research; Director, Basic Science Research; Department of Surgery; Professor of Surgery and Pharmacology & Toxicology
Angela J. Mathison, PhD
Assistant Professor, Department of Surgery; Technology Development Director, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine
Raul A. Urrutia, MD
Professor, Department of Surgery; Director, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine
Michael T. Zimmermann, PhD
Director, Computational Structural Genomics Unit, Linda T. and John A. Mellowes Center for Genomic Sciences and Precision Medicine
Systems Biology Resources Sample Publications
Mapping nucleosome and chromatin architectures: A survey of computational methods. Fang K, Wang J, Liu L, Jin VX. Comput Struct Biotechnol J 2022;20:3955-3962 PMID: 35950186 PMCID: PMC9340519 SCOPUS ID: 2-s2.0-85134894760
The splanchnic mesenchyme is the tissue of origin for pancreatic fibroblasts during homeostasis and tumorigenesis. Han L, Wu Y, Fang K, Sweeney S, Roesner UK, Parrish M, Patel K, Walter T, Piermattei J, Trimboli A, Lefler J, Timmers CD, Yu XZ, Jin VX, Zimmermann MT, Mathison AJ, Urrutia R, Ostrowski MC, Leone G. Nat Commun 2023 Jan 03;14(1):1 PMID: 36596776 PMCID: PMC9810714 SCOPUS ID: 2-s2.0-85145429848
P2T2: Protein Panoramic annoTation Tool for the interpretation of protein coding genetic variants. DeVoe E, Oliver GR, Zenka R, Blackburn PR, Cousin MA, Boczek NJ, Kocher JA, Urrutia R, Klee EW, Zimmermann MT. JAMIA Open. 2021 Aug 7;4(3):ooab065. doi: 10.1093/jamiaopen/ooab065. eCollection 2021 Jul.PMID: 34377961
Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations. Tripathi S, Dsouza NR, Urrutia R, Zimmermann MT. Bioinformatics. 2021 Jun 16;37(10):1367-1375. doi: 10.1093/bioinformatics/btaa972.PMID: 33226070
Beyond Structural Bioinformatics for Genomics with Dynamics Characterization of an Expanded KRAS Mutational Landscape. Ratnasinghe BD, Haque N, Wagenknecht JB, Jensen DR, Esparza GV, Leverence EN, De Assuncao TM, Mathison AJ, Lomberk G, Smith BC, Volkman BF, Urrutia R, Zimmermann MT. bioRxiv. 2023 Apr 28:2023.04.28.536249. doi: 10.1101/2023.04.28.536249. Preprint.PMID: 37207265