The mission of the bioinformatics core is to provide strong and timely bioinformatic support to the proposed projects, and to develop novel bioinformatic approaches/tools for the biological problems proposed in this research. The ultimate goal of this core is to promote and catalyze interdisciplinary research by providing a platform for interaction between computational scientists and biologists or cancer researchers, as well as to create training opportunities for postdoctoral fellows or graduate students. The core has two major functions: (1) provide bioinformatic or statistical support/consulting;(2) pursue creative and original interdisciplinary research. The data generated from cancer research nowadays is often complex. The challenges arise not only due to its variety, but also its scale. In addition to the clinical data, the commonly seen data types include the high-throughput DNA sequence data, SNP data, micorarray gene expression data, protein sequence data, proteomic mass spectra data and image data etc. How to manage and analyze such large-scale data requires specialty support in bioinformatics. The routine support to be provided by the bioinformatics core includes: ? Exploratory statistical analyses ? Microarray gene expression experiment design and data analysis ? Data storage and management including database construction and maintenance ? Statistical analysis of genetic data, e.g. QTL, eQTL, association test ? High-throughput DNA sequence analysis, e.g. BLAST ? Proteomics/mass-spectra data analysis.
| Serebryannyy, Leonid A; Yemelyanov, Alex; Gottardi, Cara J et al. (2017) Nuclear ?-catenin mediates the DNA damage response via ?-catenin and nuclear actin. J Cell Sci 130:1717-1729 |
| Voong, Lilien N; Xi, Liqun; Sebeson, Amy C et al. (2016) Insights into Nucleosome Organization in Mouse Embryonic Stem Cells through Chemical Mapping. Cell 167:1555-1570.e15 |
| Serebryannyy, Leonid A; Cruz, Christina M; de Lanerolle, Primal (2016) A Role for Nuclear Actin in HDAC 1 and 2 Regulation. Sci Rep 6:28460 |
| Hill, Steven M; Heiser, Laura M; Cokelaer, Thomas et al. (2016) Inferring causal molecular networks: empirical assessment through a community-based effort. Nat Methods 13:310-8 |
| Zhao, Baobing; Mei, Yang; Schipma, Matthew J et al. (2016) Nuclear Condensation during Mouse Erythropoiesis Requires Caspase-3-Mediated Nuclear Opening. Dev Cell 36:498-510 |
| Serebryannyy, Leonid A; Parilla, Megan; Annibale, Paolo et al. (2016) Persistent nuclear actin filaments inhibit transcription by RNA polymerase II. J Cell Sci 129:3412-25 |
| Chuang, Yishan; Hung, Michelle E; Cangelose, Brianne K et al. (2016) Regulation of the IL-10-driven macrophage phenotype under incoherent stimuli. Innate Immun 22:647-657 |
| Shah, M Y; Martinez-Garcia, E; Phillip, J M et al. (2016) MMSET/WHSC1 enhances DNA damage repair leading to an increase in resistance to chemotherapeutic agents. Oncogene 35:5905-5915 |
| Kreamer, Naomi N; Phillips, Rob; Newman, Dianne K et al. (2015) Predicting the impact of promoter variability on regulatory outputs. Sci Rep 5:18238 |
| Mulligan, Peter J; Chen, Yi-Ju; Phillips, Rob et al. (2015) Interplay of Protein Binding Interactions, DNA Mechanics, and Entropy in DNA Looping Kinetics. Biophys J 109:618-29 |
Showing the most recent 10 out of 161 publications
