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Mandoiu, Ion

 
Ion Mandoiu, Ph.D.
Associate Professor
Research Interests:
Approximation algorithms, bioinformatics and computational biology, VLSI computer aided design and manufacturing, ad-hoc wireless networks.
Address:   
ITEB 261
Computer Science & Engineering Dept. University of Connecticut
371 Fairfield Way, Unit 4155
Storrs, CT 06269-4155
Office Phone:860-486-3784
Fax: 860-486-4817
Education:
M.Sc. University of Bucharest, 1992
Ph.D. Georgia Institute of Technology, 2000
 

Research Summary:

My group conducts research in applied algorithms, particularly in the areas of bioinformatics and computational genomics.

More information about current projects can be found at:

https://dna.engr.uconn.edu/

Selected Publications:

Google Scholars Citations Link

  1. H. Ebrahimi-Nik and W.L. Corwin and T. Shcheglova and A. Das Mohapatra and I.I. Mandoiu and P.K. Srivastava, CD11c+ MHCIIlo GM-CSF-bone marrow-derived dendritic cells act as antigen donor cells and as antigen presenting cells in neoepitope-elicited tumor immunity against a mouse fibrosarcoma, Cancer Immunology, Immunotherapy 67, pp. 14491459, 2018.
    https://link.springer.com/article/10.1007/s00262-018-2202-4

  2. M. Moussa and I.I. Mandoiu, Single cell RNA-seq data clustering using TF-IDF based methods, BMC Genomics 19(Suppl 6):4922, 2018.
    https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-018-4922-4

  3. J. Duan and M. Zhang and Ka. Flock and S. Al Seesi and I.I. Mandoiu and A. Jones and E. Johnson and S. Pillai and M. Hoffman and K. McFadden and H. Jiang and S. Reed and K. Govoni and S. Zinn and Z. Jiang and X. Tian, Effects of Maternal Nutrition on the Expression of Genomic Imprinted Genes in Ovine Fetuses, Epigenetics, 2018.
    https://www.tandfonline.com/doi/full/10.1080/15592294.2018.1503489

  4. I. Mandric and Y.T. Tiagueu and T. Shcheglova and S. Al Seesi and A.  Zelikovsky and I.I. Mandoiu, Fast Bootstrapping-Based Estimation of Confidence Intervals of Expression Levels and Differential Expression from RNA-Seq Data, Bioinformatics 33, pp. 3302-3304, 2017.
    https://academic.oup.com/bioinformatics/article/33/20/3302/3866474

  5. E. Nenastyeva and A. Zelikovsky and I.I. Mandoiu and Y. Ionov, Identification of cancer-specific motifs in mimotope profiles of serum antibody repertoire, BMC Bioinformatics 18(Suppl 8), pp. 33-38, 2017.
    https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1661-5