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Khan Z, Bloom JS, Kruglyak L, Singh M.  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.. Bioinformatics. 25(13):1609-16.
Khan Z., Ford M.J, Cusanovich D.A, Mitrano A., Pritchard J.K, Gilad Y..  2013.  Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures. Science. 342(6162):1100-1104.
Khan Z, Amini S, Bloom JS, Ruse C, Caudy AA, Kruglyak L, Singh M, Perlman DH, Tavazoie S.  2011.  Accurate proteome-wide protein quantification from high-resolution 15N mass spectra. Genome Biology. 12(12):R122.
Khan Z, Balch T, Dellaert F.  2005.  MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(11):1805-1918.
Khan Z., Bloom J.S, Kruglyak L., Singh M..  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics. 25(13):1609-1616.
Khan Z, Ford MJ, Cusanovich DA, Mitrano A, Pritchard JK, Gilad Y.  2013.  Primate transcript and protein expression levels evolve under compensatory selection pressures.. Science. 342(6162):1100-4.
Khan Z, Bloom JS, Garcia BA, Singh M, Kruglyak L.  2009.  Protein quantification across hundreds of experimental conditions.. Proc Natl Acad Sci U S A. 106(37):15544-8.
Khan Z., Balch T., Dellaert F..  2004.  A Rao-Blackwellized particle filter for eigentracking. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
Khan Z, Balch T, Dellaert F.  2005.  MCMC-based particle filtering for tracking a variable number of interacting targets.. IEEE Trans Pattern Anal Mach Intell. 27(11):1805-19.
Khan Z, Bloom JS, Amini S, Singh M, Perlman DH, Caudy AA, Kruglyak L.  2012.  Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.. Mol Syst Biol. 8:602.
Khan Z., Bloom J.S, Garcia B.A, Singh M., Kruglyak L..  2009.  Protein quantification across hundreds of experimental conditions. Proceedings of the National Academy of Sciences. 106(37):15544-15548.
Khan Z, Balch T, Dellaert F.  2006.  MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(12):1960-1972.
Khan Z, Bloom JS, Amini S, Singh M, Perlman DH, Caudy AA, Kruglyak L.  2012.  Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS. Molecular Systems Biology. 8
Khan Z., Balch T., Dellaert F..  2006.  Multitarget Tracking with Split and Merged Measurements. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
Khan Z, Balch T, Dellaert F.  2006.  MCMC data association and sparse factorization updating for real time multitarget tracking with merged and multiple measurements.. IEEE Trans Pattern Anal Mach Intell. 28(12):1960-72.
Khaladkar M., Smyda M., Hannenhalli S.  2011.  Epigenomic and RNA structural correlates of polyadenylation. RNA biologyRNA biology. 8
Khaladkar M, Hannenhalli S.  2012.  Functional Divergence of Gene Duplicates a Domain-centric view. BMC Evolutionary BiologyBMC Evolutionary Biology.
Kelley D.R, Kingsford C.  2011.  Extracting Between-Pathway Models from E-MAP Interactions Using Expected Graph Compression. Journal of Computational BiologyJournal of Computational Biology. 18
Kelley DR, Liu B, Delcher AL, Pop M., Salzberg SL.  2012.  Gene Prediction with Glimmer for Metagenomic Sequences Augmented by Classification and Clustering. Nucleic Acids ResearchNucl. Acids Res.Nucleic Acids ResearchNucl. Acids Res.. 40
Keeley MB, Wood MA, Isiegas C, Stein J, Hellman K, Hannenhalli S, Abel T.  2006.  Differential Transcriptional Response to Nonassociative and Associative Components of Classical Fear Conditioning in the Amygdala and Hippocampus. Learning & MemoryLearn. Mem.Learning & MemoryLearn. Mem.. 13
Kawahara A.Y, Ohshima I., Kawakita A., Regier J.C, Mitter C., Cummings MP, Davis D.R, Wagner D.L, De Prinis J., Lopez-Vaamonde C..  2011.  Increased gene sampling provides stronger support for higher-level groups within gracillariid leaf mining moths and relatives (Lepidoptera: Gracillariidae). BMC Evol BiolBMC Evol Biol. 11:182
Karathia H, Kingsford C, Girvan M, Hannenhalli S.  2016.  A pathway-centric view of spatial proximity in the 3D nucleome across cell lines. Scientific Reports. 6:39279.
Kanodia J.S, Kim Y., Tomer R., Khan Z., Chung K., Storey J.D, Lu H., Keller P.J, Shvartsman S.Y.  2011.  A computational statistics approach for estimating the spatial range of morphogen gradients. Development. 138(22):4867-4874.
Kanodia JS, Kim Y, Tomer R, Khan Z, Chung K, Storey JD, Lu H, Keller PJ, Shvartsman SY.  2011.  A computational statistics approach for estimating the spatial range of morphogen gradients.. Development. 138(22):4867-74.
Khan Z, Balch T, Dellaert F.  2004.  Lecture Notes in Computer ScienceComputer Vision - ECCV 2004An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. 3024:279-290.

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