Research output per year
Research output per year
Personal profile
Research interests
The development of genomics, bioinformatics and statistical methods as they apply to the study of cancer biology and medicine. A particular focus on the translation of genomics data from whole genome, exome and transcriptome sequencing into clinically actionable observations and personalized cancer therapies.
Mentoring
The GriffithLab is an interdisciplinary team of biologists, bioinformaticians, computer scientists, and software engineers. Each member of the lab is trained to use computational biology approaches to address research questions relating to cancer biology and precision cancer medicine. We train students and post-docs with a biology background that would like to develop bioinformatics skills. We are equally interested in trainees with a computer science background that would like to apply these skills to studying cancer and improving patient outcomes.
Available to Mentor:
- PhD/MSTP Students
Fingerprint
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase
Krysiak, K., Danos, A. M., Saliba, J., McMichael, J. F., Coffman, A. C., Kiwala, S., Barnell, E. K., Sheta, L., Grisdale, C. J., Kujan, L., Pema, S., Lever, J., Ridd, S., Spies, N. C., Andric, V., Chiorean, A., Rieke, D. T., Clark, K. A., Reisle, C., Venigalla, A. C., & 45 others, Jan 6 2023, In: Nucleic acids research. 51, 1 D, p. D1230-D1241Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Computational prediction of MHC anchor locations guides neoantigen identification and prioritization
Xia, H., McMichael, J., Becker-Hapak, M., Onyeador, O. C., Buchli, R., McClain, E., Pence, P., Supabphol, S., Richters, M. M., Basu, A., Ramirez, C. A., Puig-Saus, C., Cotto, K. C., Freshour, S. L., Hundal, J., Kiwala, S., Goedegebuure, S. P., Johanns, T. M., Dunn, G. P., Ribas, A., & 5 others, Apr 2023, In: Science immunology. 8, 82, eabg2200.Research output: Contribution to journal › Article › peer-review
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Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer
Cotto, K. C., Feng, Y. Y., Ramu, A., Richters, M., Freshour, S. L., Skidmore, Z. L., Xia, H., McMichael, J. F., Kunisaki, J., Campbell, K. M., Chen, T. H. P., Rozycki, E. B., Adkins, D., Devarakonda, S., Sankararaman, S., Lin, Y., Chapman, W. C., Maher, C. A., Arora, V., Dunn, G. P., & 4 others, Dec 2023, In: Nature communications. 14, 1, 1589.Research output: Contribution to journal › Article › peer-review
Open Access -
A community approach to the cancer-variant-interpretation bottleneck
Krysiak, K., Danos, A. M., Kiwala, S., McMichael, J. F., Coffman, A. C., Barnell, E. K., Sheta, L., Saliba, J., Grisdale, C. J., Kujan, L., Pema, S., Lever, J., Spies, N. C., Chiorean, A., Rieke, D. T., Clark, K. A., Jani, P., Takahashi, H., Horak, P., Ritter, D. I., & 32 others, May 2022, In: Nature Cancer. 3, 5, p. 522-525 4 p.Research output: Contribution to journal › Comment/debate
2 Scopus citations -
Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
Schaettler, M. O., Richters, M. M., Wang, A. Z., Skidmore, Z. L., Fisk, B., Miller, K. E., Vickery, T. L., Kim, A. H., Chicoine, M. R., Osbun, J. W., Leuthardt, E. C., Dowling, J. L., Zipfel, G. J., Dacey, R. G., Lu, H. C., Johanns, T. M., Griffith, O. L., Mardis, E. R., Griffith, M. & Dunn, G. P., Jan 2022, In: Cancer discovery. 12, 1, p. 154-171 18 p.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations