1.  Zhukov L. E., Sukharev J., Popescul A. Parallel corpus approach for name matching in record linkage, in: Proceedings of 14th International Conference on Data Mining (ICDM 2014). NY: IEEE Computer Society Conference Publishing Services (CPS), 2014. P. 995-1000.
  2. Ignatov D. I., Kuznetsov S. O., Zhukov L. E., Poelmans J. Can triconcepts become triclusters?  International Journal of General Systems. 2013. Vol. 42. No. 6. P. 572-593.
  3. Ignatov D. I., Kuznetsov S. O., Zhukov L. E. From Triconcepts to Triclusters, in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings Vol. 6743. Berlin, Heidelberg : Springer, 2011. P. 257-264.
  4. D. Gleich and L. Zhukov.  Scalable Computing for Power Law Graphs: Experience with Parallel PageRank. IEEE Supercomputing Conference, 2005.
  5. L. Zhukov SVD based Term Suggestion and Ranking System. Proceedings of the 4th IEEE International Confernce on Data Mining (ICDM2004), pages 391-394, 2004.
  6. Robert Van Uitert, Chris Johnson and Leonid Zhukov. Influence of Head Tissue Conductivity in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models. IEEE Transactions on Biomedical Engineering, vol. 51, no. 12, 2004, pp 2129-2137
  7. Leonid Zhukov and Alan H. Barr. Heart-Muscle Fiber Reconstruction from Diffusion Tensor MRI. Proceedings IEEE Visualization 2003, pp 597-602, 2003
  8. L. Zhukov, K. Museth, D. Breen, R. Whitaker, A.H. Barr. Level Set Segmentation and Modeling of Diffusion Tensor Magnetic Resonance Imaging brain data. Journal of Electronic Imaging, 2003, 12(01), pp.125-133
  9. Leonid Zhukov and Alan H. Barr. Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI. Proceedings IEEE Visualization 2002, pp. 387-394.
  10. L.E. Zhukov, D.M. Weinstein and C.R. Johnson Independent Component Analysis For EEG Source Localization In Realistic Head Models. IEEE Engineering in Medicine and Biology, vol 19, pp 87-96, 2000
  11. Cantor M, Nordberg H, Smirnova T, Hess M,  Tringe S, Dubchak I, Elviz - exploration of metagenome assemblies with an interactive visualization tool. BMC Bioinformatics, 2015, Apr 28;16:130.
  12. Poliakov A, Foong J, Brudno M, Dubchak I, GenomeVISTA--an integrated software package for whole-genome alignment and visualization. Bioinformatics, 2014, 30:2654-5.
  13. Dubchak I, Balasubramanian S, Wang S, Meyden C, Sulakhe S, Poliakov A, Börnigen D, Xie B, Taylor A, Ma J, Paciorkowski AR, Mirzaa GM, Dave P, Agam G, Xu J, Al-Gazali L, Mason CE, Ross ME, Maltsev N, Gilliam TC.  An integrative computational approach for prioritization of genomic variants. PLOS One. 2014, DOI:10.1371/journal.pone.0114903
  14. Lukashin I, Novichkov P, Boffelli D, Paciorkowski AR, Minovitsky S, Yang S, Dubchak I. VISTA Region Viewer (RViewer)--a computational system for prioritizing genomic intervals for biomedical studies. Bioinformatics. 2011, Sep 15;27(18):2595-7.
  15. Nielsen CB, Cantor M, Dubchak I, Gordon D, Wang T. Visualizing genomes: techniques and challenges. Nat Methods. 2010, Mar;7(3 Suppl):S5-S15.
  16. Dubchak I, Munoz M, Poliakov A, Salomonis N, Minovitsky S, Bodmer R, Zambon AC.  Whole-Genome rVISTA: a tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data. Bioinformatics. 2013, Aug 15;29(16):2059-61. 
  17. Dubchak I, Munoz M, Poliakov A, Salomonis N, Minovitsky S, Bodmer R, Zambon AC.  Whole-Genome rVISTA: a tool to determine enrichment of transcription factor binding sites in gene promoters from transcriptomic data. Bioinformatics. 2013, Aug 15;29(16):2059-61. 
  18. Dubchak I. Comparative analysis and visualization of genomic sequences using VISTA browser and associated computational tools. Methods Mol Biol. 2007, 395:3.
  19. Ratnere I, Dubchak I. Obtaining comparative genomic data with the VISTA family of computational tools. Curr Protoc Bioinformatics. 2009, Chapter 10:Unit 10.6.
  20. Nordberg H, Cantor M, Dusheyko S, Hua S, Poliakov A, Shabalov I, Smirnova T, Grigoriev IV, Dubchak I. The genome portal of the Department of Energy Joint Genome Institute: 2014 updates. Nucleic Acids Res. 2014, 42(Database issue):D26-31
  21. E. Elhaik, T. Tatarinova, D. Chebotarev, I.S. Piras, C.M. Calò, A. De Montis, M. Atzori, M. Marini, S. Tofanelli, P. Francalacci, L. Pagani, C. Tyler-Smith, Y. Xue, F. Cucca, T.G. Schurr, J.B. Gaieski, F.R. Melendez, D. Comas and O. Balanovsky, E. Balanovska, P. Zalloua, H. Soodyall, R. Pitchappan, A.K. Ganesh Prasad, M. Hammer, L. Matisoo-Smith, S.R. Wells and The Genographic Consortium and the Genographic Consortium, Geographic Population Structure (GPS) of worldwide human populations infers biogeographical origin down to home village, Nature Comm., 2014, vol. 5.            
  22. Elhaik, E., Tatarinova, T.V., Klyosov, A.A., and Graur, D. 2014. The “Extremely Ancient” Chromosome that Isn’t: A Forensic Bioinformatics Investigation of Albert Perry’s X-degenerate Portion of the Y chromosome. European Journal of Human Genetics,  2014.
  23. T. Tatarinova and Alan Schumitzky. Nonlinear Mixture Models: A Bayesian Approach, Imperial College Press, ISBN-10: 1848167563.
  24. K Kozlov, D Chebotarev, M Hassan, M Triska, P Triska, P Flegontov, TV Tatarinova, Differential Evolution approach to detect recent admixture,  BMC Genomics, 2015, vol. 16 (S8)
  25.  GaneshPrasad ArunKumar, Tatiana V. Tatarinova, Jeff Duty, Debra Rollo, Adhikarla Syama, Varatharajan Santhakumari Arun, Valampuri John Kavitha, Petr Triska, Bennett Greenspan, R. Spencer Wells, Ramasamy Pitchappan, The Genographic Consortium, Genome-wide signatures of male-mediated migration shaping the Indian gene pool,  Journal of Human Genetics, vol. 1 (7), 2015/5/21
  26. T. Tatarinova, M.Neely, J. Bartroff, M. van Guilder M, W. Yamada, D. Bayard, R. Jelliffe, R. Leary, A. Chubatiuk, A. Schumitzky. Two General Methods for Population Pharmacokinetic Modeling: Non-Parametric Adaptive Grid and Non-Parametric Bayesian, Journal of Pharmacokinetics and Pharmacodynamics, April 2013, Volume 40, Issue 2, pp 189-199
  27. T. Tatarinova, N. Alexandrov, J. Bouck, K. Feldman, GC3 biology in corn, rice, sorghum and other grasses, BMC Genomics 2010, 11:308.
  28. T. Tatarinova, E. Elhaik, M. Pellegrini, 2013. Cross-species analysis of genic GC3 content and DNA methylation patterns. Genome Biology and Evolution, 2013 July 5.
  29. E. Elhaik, M. Pellegrini, T. Tatarinova, 2014. Gene expression and nucleotide composition are associated with genic methylation level in Oryza sativa. BMC Bioinformatics, 2014.
  30. N. Alexandrov, V. Brover, S. Freidin, M. Troukhan, T. Tatarinova, H. Zhang, T. Swaller, Y.P. Lu, J. Bouck, R. Flavell, K. Feldmann (2009) Insights into Corn Genes Derived from Large-Scale cDNA Sequencing, Plant Molecular  Biology,  2009, 69(1-2).
  31. Gentzbittel L., Ben C., .. Nikolsky Y., ..Tatarinova T. Whole-genome modeling accurately predicts quantitative traits, as revealed in plants. MBE, submitted
  32. Zhang W.,  Yu Y., …Nikolsky Y., … Fischer M.  Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.  Genome Biol., 2015 Jun 25;16(1):133.
  33. Wang C., ..Nikolsky Y., …Tong W. A comprehensive study design reveals treatment and transcript abundance-dependent concordance between RNA-seq and microarray data. Nat. Biotech., 2014, 32, 926-32
  34. Yamomoto S., … Nikolsky Y., …Polyak K. The JARID1B/KDM5B histone demethylase is a luminal lineage-driving oncogene in breast cancer. Cell Cancer Cell, 2014, 25 (6), 762-77
  35. Yu, Y., Fuscoe J.C., ..Nikolsky Y., …Wand C.  A rat RNA-SEQ transcriptomic BodyMap across 11 organs and 4 development stages. Nat. Commun., 2014, Feb. 10, 5; 3230
  36. Choudhury S, Almendro V, ..Nikolsky Y,.. Polyak K. Molecular Profiling of Human Mammary Gland Links Breast Cancer Risk to a p27(+) Cell Population with Progenitor Characteristics. Cell Stem Cell. 2013 Jul 3;13(1):117-30. Cell Stem Cell. 2013 Jul 3;13(1):117-30
  37. Emig D, Ivliev A, Pustovalova O, Lancashire L, Bureeva S, Nikolsky Y, Bessarabova M. Drug target prediction and drug repositioning using an integrated network-based approach. PLoS One. 2013, 8(4):e60618.
  38. Bessarabova M., Ishkin A., JeBailey L., Nikolskaya T., Nikolsky Y. Knowledge-based analysis of proteomics data. BMC Bioinformatics, 2012, 13, Suppl. 16; S13
  39. Bessarabova M., Ishkin A.,JeBailey L., Nikolskaya T., Nikolsky Y. Knowledge-based analysis of proteomics data. BMC Bioinformatics, 2012, 13, Suppl. 16; S13
  40. Parsons DW, Li M, ..Nikolsky Y,… Velculescu VE. The Genetic Landscape of the Childhood Cancer Medulloblastoma. Science. 2011 Jan 28;331(6016):435-9

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