The Biostatistics and Biolnformatics Shared Resource (BBSR) provides biostatistical and bioinformatics leadership and support for research within the Cancer Center. The BBSR plays a critical role in the design and analysis of cancer related investigations, including clinical trials, epidemiological studies, and laboratory-based studies. The BBSR provides a full range of biostatistical services, including study design, sample size calculations, data analysis and interpretation, protocol reviews, and development of novel statistical methodologies. The BBSR also provides support for cancer researchers to store, access, and analyze large-scale genomic, proteomic, clinical, image-based, and systems biology datasets.The overall goals of the Resource are to provide: (1) biostatistical and bioinformatics support to Cancer Center researchers through service and collaborative activities; (2) training in the use of statistical software and biostatistical methods, through regular short courses and one-on-one sessions, and technical guidance and technology background to Cancer Center members and associated scientists seeking to use parallel supercomputing and database hardware and software in cancer-based biomedical research; (3) development of novel biostatistical and bioinformatic methods to enhance Cancer Center research projects; and (4) dissemination of capabilities, by continuing with the development of our website that identifies personnel and services provided to allow wider knowledge of the biostatistical and bioinformatics support available to Cancer Center investigators. Edward J. Bedrick, Ph.D. is Director of the Resource. Susan R. Atlas, Ph.D, and Christine Stidley, Ph.D. are Co-Directors of the Resource for bioinformatics and biostatistics, resectively. Dr. Bedrick has > 20 years experience in biostatistics. Dr. Atlas has > 20 years experience in scientific computing and bioinformatics. Dr. Stidley supports the large lung cancer research and SEER efforts. The Resource includes eight faculty and scientific staff, with a broad range of areas of expertise. Since 2005, Cancer Center members published more than 40 articles in collaboration with Resource faculty and staff. Resource members are co-investigators on 11 peer-reviewed extra-mural grants with Cancer Center members with several pending. More than 30 Cancer Center members representing all 4 Research Programs are making extensive use ofthe Resource.
The Resource enhances the clinical trials and Research Programs of the Cancer Center by providing critical expertise in the design and analysis of cancer related studies. These research efforts would be not Just hampered, but often rendered meaningless, without appropriate biostatistical and bioinformatics support. The Resource also provides statistical support during the development of projects that will ultimately lead to both increased research funding to the Cancer Center and support for members of the Resource. Furthermore, the Bioinformatics technical staff members provide the mechanisms by which large-scale datasets and associated clinical covariate data generated by Cancer Center researchers are reliably managed, stored, annotated, archived, and disseminated. These activifies are critical to meeting the Specific Aims of Cancer Center research grants that are based on the generation and analysis of large-scale genomic datasets for large patient cohorts and emerging large-scale deep sequencing data.
| Peretti, Amanda S; Dominguez, Dayna; Grimes, Martha M et al. (2018) The R-Enantiomer of Ketorolac Delays Mammary Tumor Development in Mouse Mammary Tumor Virus-Polyoma Middle T Antigen (MMTV-PyMT) Mice. Am J Pathol 188:515-524 |
| Brandsma, Arianne M; Schwartz, Samantha L; Wester, Michael J et al. (2018) Mechanisms of inside-out signaling of the high-affinity IgG receptor Fc?RI. Sci Signal 11: |
| Zheng, Handong; Wu, Dandan; Wu, Xiang et al. (2018) Leptin Promotes Allergic Airway Inflammation through Targeting the Unfolded Protein Response Pathway. Sci Rep 8:8905 |
| Ray, Anita L; Berggren, Kiersten L; Restrepo Cruz, Sebastian et al. (2018) Inhibition of MK2 suppresses IL-1?, IL-6, and TNF-?-dependent colorectal cancer growth. Int J Cancer 142:1702-1711 |
| Hudson, Laurie G; Gillette, Jennifer M; Kang, Huining et al. (2018) Ovarian Tumor Microenvironment Signaling: Convergence on the Rac1 GTPase. Cancers (Basel) 10: |
| Licon-Munoz, Yamhilette; Fordyce, Colleen A; Hayek, Summer Raines et al. (2018) V-ATPase-dependent repression of androgen receptor in prostate cancer cells. Oncotarget 9:28921-28934 |
| Palsuledesai, Charuta C; Surviladze, Zurab; Waller, Anna et al. (2018) Activation of Rho Family GTPases by Small Molecules. ACS Chem Biol 13:1514-1524 |
| Sallmyr, Annahita; Tomkinson, Alan E (2018) Repair of DNA double-strand breaks by mammalian alternative end-joining pathways. J Biol Chem 293:10536-10546 |
| Kumar, Suresh; Jain, Ashish; Farzam, Farzin et al. (2018) Mechanism of Stx17 recruitment to autophagosomes via IRGM and mammalian Atg8 proteins. J Cell Biol 217:997-1013 |
| Vicuña, Belinda; Delaney, Harold D; Flores, Kristina G et al. (2018) Preferences for multigene panel testing for hereditary breast cancer risk among ethnically diverse BRCA-uninformative families. J Community Genet 9:81-92 |
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