• 1508 Citations
20082020

Research output per year

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Personal profile

Research Interests

Our group uses high-throughput genomic technologies and computational modeling to examine the regulation of gene transcription and RNA translation underlying oncogenic processes. We aim at revealing novel cancer therapeutic strategies for precision medicine and immunotherapy.

Research Interests

We use high-throughput genomic technologies and computational modeling to study the regulation of gene transcription and RNA translation underlying oncogenic processes. We aim at revealing novel cancer therapeutic strategies for precision medicine and immunotherapy.

Training Experience

2017Postdoctoral Fellowship, Harvard Medical School
2017Postdoctoral Fellowship, Broad Institute of MIT and Harvard

Education/Academic qualification

PhD, Rutgers - The State University of New Jersey, New Brunswick

… → 2012

Research interests

  • Bioinformatics
  • Cancer Biology
  • Computational Biology
  • Gene Regulation
  • Genomic Medicine/Personalized Medicine
  • Genomics
  • Inflammation
  • Molecular Biology
  • Pharmacogenomics
  • Systems Biology

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Grants

  • Research Output

    • 1508 Citations
    • 24 Article
    • 2 Comment/debate
    • 1 Chapter
  • 17 Scopus citations

    Comprehensive comparative analysis of 5′-end RNA-sequencing methods

    Adiconis, X., Haber, A. L., Simmons, S. K., Levy Moonshine, A., Ji, Z., Busby, M. A., Shi, X., Jacques, J., Lancaster, M. A., Pan, J. Q., Regev, A. & Levin, J. Z., Jul 1 2018, In : Nature Methods. 15, 7, p. 505-511 7 p.

    Research output: Contribution to journalArticle

  • 21 Scopus citations

    Erratum to: Comprehensive comparative analysis of 5′-end RNA-sequencing methods (Nature Methods, (2018), 15, 7, (505-511), 10.1038/s41592-018-0014-2)

    Adiconis, X., Haber, A. L., Simmons, S. K., Moonshine, A. L., Ji, Z., Busby, M. A., Shi, X., Jacques, J., Lancaster, M. A., Pan, J. Q., Regev, A. & Levin, J. Z., Dec 1 2018, In : Nature Methods. 15, 12, 1 p.

    Research output: Contribution to journalComment/debate

  • Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation

    Ji, Z., He, L., Rotem, A., Janzer, A., Cheng, C. S., Regev, A. & Struhl, K., Dec 1 2018, In : Nature communications. 9, 1, 2068.

    Research output: Contribution to journalArticle

  • 2 Scopus citations
  • 2 Scopus citations