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Malachi Griffith

Assistant Professor of Genetics, Assistant Professor of Medicine

  • 8574 Citations
20032019
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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.

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  • 21 Similar Profiles
Neoplasms Medicine & Life Sciences
Genome Medicine & Life Sciences
Mutation Medicine & Life Sciences
Genes Medicine & Life Sciences
RNA Sequence Analysis Medicine & Life Sciences
Transcriptome Medicine & Life Sciences
Breast Neoplasms Medicine & Life Sciences
High-Throughput Nucleotide Sequencing Medicine & Life Sciences

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Research Output 2003 2019

5 Citations (Scopus)

Accounting for proximal variants improves neoantigen prediction

Hundal, J., Kiwala, S., Feng, Y. Y., Liu, C. J., Govindan, R., Chapman, W. C., Uppaluri, R., Swamidass, S. J., Griffith, O. L., Mardis, E. R. & Griffith, M., Jan 1 2019, In : Nature Genetics. 51, 1, p. 175-179 5 p.

Research output: Contribution to journal › Article

Peptides
Major Histocompatibility Complex
Immunotherapy
Neoplasms
1 Citation (Scopus)

A Spontaneous Aggressive ERα+ Mammary Tumor Model Is Driven by Kras Activation

Campbell, K. M., O'Leary, K. A., Rugowski, D. E., Mulligan, W. A., Barnell, E. K., Skidmore, Z. L., Krysiak, K., Griffith, M., Schuler, L. A. & Griffith, O. L., Aug 6 2019, In : Cell Reports. 28, 6, p. 1526-1537.e4

Research output: Contribution to journal › Article

Open Access
Prolactin
Tumors
Chemical activation
Breast Neoplasms
Neoplasms
2 Citations (Scopus)

Best practices for bioinformatic characterization of neoantigens for clinical utility

Richters, M. M., Xia, H., Campbell, K. M., Gillanders, W. E., Griffith, O. L. & Griffith, M., Aug 28 2019, In : Genome medicine. 11, 1, 56.

Research output: Contribution to journal › Review article

Open Access
Computational Biology
Practice Guidelines
Workflow
Neoplasms
T-Lymphocytes

Immunological ignorance is an enabling feature of the oligo-clonal T cell response to melanoma neoantigens

Linette, G. P., Becker-Hapak, M., Skidmore, Z. L., Baroja, M. L., Xu, C., Hundal, J., Spencer, D. H., Fu, W., Cummins, C., Robnett, M., Kaabinejadian, S., Hildebrand, W. H., Magrini, V., Demeter, R., Krupnick, A. S., Griffith, O. L., Griffith, M., Mardis, E. R. & Carreno, B. M., Nov 19 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 47, p. 23662-23670 9 p.

Research output: Contribution to journal › Article

Melanoma
T-Cell Antigen Receptor
T-Lymphocytes
Immunity
Neoplasms

Noninvasive Detection of High-Risk Adenomas Using Stool-Derived Eukaryotic RNA Sequences as Biomarkers

Geneoscopy Scientists, Sep 2019, In : Gastroenterology. 157, 3, p. 884-887.e3

Research output: Contribution to journal › Article

Open Access
Early Detection of Cancer
Adenoma
Biomarkers