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Malachi Griffith

Assistant Professor of Genetics, Assistant Professor of Medicine

  • 8182 Citations
20032019
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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.

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

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Research Output 2003 2019

2 Citations (Scopus)

Accounting for proximal variants improves neoantigen prediction

Hundal, J., Kiwala, S., Feng, Y. Y., Liu, C. J., Govindan, R., Chapman, W., Uppaluri, R., Swamidass, J., Griffith, O., 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., 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

Best practices for bioinformatic characterization of neoantigens for clinical utility

Richters, M. M., Xia, H., Campbell, K. M., Gillanders, W., Griffith, O. & 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

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

Geneoscopy Scientists, Sep 1 2019, In : Gastroenterology. 157, 3, p. 884-887.e3

Research output: Contribution to journal › Article

Open Access
Early Detection of Cancer
Adenoma
Biomarkers
4 Citations (Scopus)

Standard operating procedure for somatic variant refinement of sequencing data with paired tumor and normal samples

Barnell, E. K., Ronning, P., Campbell, K. M., Krysiak, K., Ainscough, B. J., Sheta, L. M., Pema, S. P., Schmidt, A. D., Richters, M., Cotto, K. C., Danos, A. M., Ramirez, C., Skidmore, Z. L., Spies, N. C., Hundal, J., Sediqzad, M. S., Kunisaki, J., Gomez, F., Trani, L., Matlock, M. & 4 others, Wagner, A. H., Swamidass, J., Griffith, M. & Griffith, O., Apr 1 2019, In : Genetics in Medicine. 21, 4, p. 972-981 10 p.

Research output: Contribution to journal › Article

Open Access
Neoplasms
Reading
Artifacts