Fellow, Internal Advisory Committee
Arjun Krishnan is a computational biologist and a faculty member at MSU in the Dept. of Computational Mathematics, Science, and Engineering and the Dept. of Biochemistry and Molecular Biology. His group works on developing computational methods for turning genomic and biomedical data into insights about the genetic basis of complex traits and diseases. His group is passionate about working in synergy with experimental and clinical researchers to motivate their methods and put their predictions to test in human and model systems. Before joining MSU in January 2017, Arjun completed his postdoctoral research at Princeton University and his graduate studies at Virginia Tech.
Selected Peer-Reviewed Journal Articles
1. Krishnan A†, Taroni JN, Greene CS†. (2016) Integrative networks illuminate biological factors underlying gene-disease associations. Current Genetic Medicine Reports, 4:155-162.
2. Krishnan A¨, Zhang R¨, Yao V, Theesfeld CL, Wong AK, Tadych A, Volfovsky N, Packer A, Lash A, Troyanskaya OG. (2016) Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience, 19:1454-1462. [Web-interface: asd.princeton.edu]
3. Greene C¨, Krishnan A¨, Wong AK¨, Ricciotti E, Zelaya R, Himmelstein D, Zhang R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman D, FitzGerald G, Dolinski K, Grosser T, Troyanskaya OG. (2015) Understanding multi-cellular function and disease with human tissue-specific gene interaction networks. Nature Genetics, 47:569-576. [Web-interface: giant.princeton.edu]
4. Zhu Q, Wong AK, Krishnan A, Aure MR, Tadych A, Zhang R, Corney DC, Greene CS, Bongo LA, Kristensen VN, Charikar M, Li K, Troyanskaya OG (2015) Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nature Methods, 12:211-214. [Web-interface: seek.princeton.edu]
5. Park C, Krishnan A, Zhu Q, Wong AK, Lee Y, Troyanskaya OG (2015). Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms. Bioinformatics, 31:1093-1101. [Web-interface: pathwaynet.princeton.edu]
6. Lee Y, Krishnan A, Zhu Q, Troyanskaya OG (2013). Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies. Bioinformatics, 29:3036-3044. [Web-interface: ursa.princeton.edu]
- Summer 2017: Bioinformatics Workshops at MSU
- Fall 2017: Bioinformatics Modules
- Spring 2018: CMSE 491 - Bioinformatics and Computational Biology