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  1. 1.   NanoHIV: A Bioinformatics Pipeline for Producing Accurate, Near Full-Length HIV Proviral Genomes Sequenced Using the Oxford Nanopore Technology
  2. Wright, Imogen A.; Delaney, Kayla E.; Katusiime, Mary Grace K.; Botha, Johannes C.; Engelbrecht, Susan; Kearney,Mary; van Zyl, Gert U.
  3. Cells. 2021, Sep 28; 10(10):
  1. 2.   dagLogo: An R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data
  2. Ou, Jianhong; Liu, Haibo; Nirala, Niraj K.; Stukalov, Alexey; Acharya,Usha; Green, Michael R.; Zhu, Lihua Julie
  3. PLOS ONE. 2020, NOV 6; 15(11):
  1. 3.   Control of transcriptional pausing by biased thermal fluctuations on repetitive genomic sequences
  2. Imashimizu, M.; Afek, A.; Takahashi, H.; Lubkowska, Lucyna; Lukatsky, D. B.
  3. Proceedings of the National Academy of Sciences of the United States of America. 2016, Nov 22; 113(47): E7409-E7417.
  1. 4.   Serum Vascular Endothelial Growth Factor-D Prospectively Distinguishes Lymphangioleiomyomatosis From Other Diseases
  2. Young, L. R.; VanDyke, R.; Gulleman, P. M.; Inoue, Y.; Brown, K. K.; Schmidt, L. S.; Linehan, W. M.; Hajjar, F.; Kinder, B. W.; Trapnell, B. C.; Bissler, J. J.; Franz, D. N.; McCormack, F. X.
  3. Chest. 2010, Sep; 138(3): 674-681.
  1. 5.   Optimization of allele-specific PCR using patient-specific HIV consensus sequences for primer design
  2. Boltz, V. F.; Maldarelli, F.; Martinson, N.; Morris, L.; McIntyre, J. A.; Gray, G.; Hopley, M. J.; Kimura, T.; Mayers, D. L.; Robinson, P.; Mellors, J. W.; Coffin, J. M.; Palmer, S. E.
  3. Journal of Virological Methods. 2010, Mar; 164(1-2): 122-126.
  1. 6.   Preferred drifting along the DNA major groove and cooperative anchoring of the p53 core domain: mechanisms and scenarios
  2. Pan, Y. P.; Nussinov, R.
  3. Journal of Molecular Recognition. 2010, Mar-Apr; 23(2): 232-240.
  1. 7.   Anatomy of Escherichia coli sigma(70) promoters
  2. Shultzaberger, R. K.; Chen, Z. H.; Lewis, Janine; Schneider, Tom
  3. Nucleic Acids Research. 2007, Feb; 35(3): 771-788.
  1. 8.   Structural basis for p53 binding-induced DNA bending
  2. Pan, Y. P.; Nussinov, R.
  3. Journal of Biological Chemistry. 2007, Jan; 282(1): 691-699.
  1. 9.   The multiple common point set problem and its application to molecule binding pattern detection
  2. Shatsky, M.; Shulman-Peleg, A.; Nussinov, R.; Wolfson, H. J.
  3. Journal of Computational Biology. 2006, Mar; 13(2): 407-428.
  1. 10.   Factors associated with patients' perceptions of health care providers' communication behavior
  2. Rutten, L. J. F.; Augustson, E.; Wanke, K.
  3. Journal of Health Communication. 2006 11: 135-146.
  1. 11.   Precancer in mice: Animal models used to understand, prevent, and treat human precancers
  2. Cardiff, R. D.; Anver, M. R.; Boivin, G. P.; Bosenberg, M. W.; Maronpot, R. R.; Molinolo, A. A.; Nikitin, A. Y.; Rehg, J. E.; Thomas, G. V.; Russell, R. G.; Ward, J. M.
  3. Toxicologic Pathology. 2006 34(6): 699-707.
  1. 12.   A base-specific recognition signal in the 5 ' consensus sequence of rotavirus plus-strand RNAs promotes replication of the double-stranded RNA genome segments
  2. Tortorici, M. A.; Shapiro, R. A.; Patton, J. T.
  3. Rna-a Publication of the Rna Society. 2006, JAN; 12(1): 133-146.
  1. 13.   Echinomycin, a small-molecule inhibitor of hypoxia-inducible factor-1 DNA-binding activity
  2. Kong, D. H.; Park, E. J.; Stephen, A. G.; Calvani, M.; Cardellina, J. H.; Monks, A.; Fisher, R. J.; Shoemaker, R. H.; Melillo, G.
  3. Cancer Research. 2005, OCT 1; 65(19): 9047-9055.
  1. 14.   Binding affinity difference induced by the stereochemistry of the sulfoxide bridge of the cyclic peptide inhibitors of Grb2-SH2 domain: NMR studies for the structural origin
  2. Shi, Y. H.; Song, Y. L.; Lin, D. H.; Tan, J. Z.; Roller, P. P.; Li, Q.; Long, Y. Q.; Song, G. Q.
  3. Biochemical and Biophysical Research Communications. 2005, MAY 20; 330(4): 1254-1261.
  1. 15.   Weak palindromic consensus sequences are a common feature found at the integration target sites of many retroviruses
  2. Wu, X. L.; Li, Y.; Crise, B.; Burgess, S. M.; Munroe, D. J.
  3. Journal of Virology. 2005, APR; 79(8): 5211-5214.
  1. 16.   High-resolution genome-wide mapping of transposon integration in mammals
  2. Yant, S. R.; Wu, X. L.; Huang, Y.; Garrison, B.; Burgess, S. M.; Kay, M. A.
  3. Molecular and Cellular Biology. 2005, MAR; 25(6): 2085-2094.
  1. 17.   Heterodimer formation between c-Jun and Jun B proteins mediated by Epstein Barr virus encoded latent membrane protein 1
  2. Song, X.; Tao, Y. G.; Tan, Y. N.; Lee, L. M.; Deng, X. Y.; Wu, Q.; Cao, Y.
  3. Science in China Series C-Life Sciences. 2005, FEB; 48(1): 70-80.
  1. 18.   Recognition of binding patterns common to a set of protein structures
  2. Shatsky, M.; Shulman-Peleg, A.; Nussinov, R.; Wolfson, H. J.
  3. Research in Computational Molecular Biology, Proceedings. 2005 3500: 440-455.
  1. 19.   Classification of ATP-dependent proteases Lon and comparison of the active sites of their proteolytic domains
  2. Rotanova, T. V.; Melnikov, E. E.; Khalatova, A. G.; Makhovskaya, O. V.; Botos, I.; Wlodawer, A.; Gustchina, A.
  3. European Journal of Biochemistry. 2004, DEC; 271(23-24): 4865-4871.
  1. 20.   Integration of microsatellite characteristics in the MHC region: a literature and sequence based analysis
  2. Gourraud, P. A.; Mano, S.; Barnetche, T.; Carrington, M.; Inoko, H.; Cambon-Thomsen, A.
  3. Tissue Antigens. 2004, NOV; 64(5): 543-555.
  1. 21.   Differential B cell expression of mouse Fc receptor homologs
  2. Davis, R. S.; Stephan, R. P.; Chen, C. C.; Dennis, G.; Cooper, M. D.
  3. International Immunology. 2004, SEP; 16(9): 1343-1353.
  1. 22.   Temporin/VesCP (T/V)-like antibiotic peptides, derived from frogs and wasps, induce migration of human monocytos and neutrophils
  2. Yang, D.; Chen, Q.; Oppenheim, J. J.; Kuusela, R.; Taylor, J. W.; Wade, D.
  3. Letters in Peptide Science. 2003 10(2): 99-110.
  1. 23.   New techniques for DNA sequence classification
  2. Wang, J. T. L.; Rozen, S.; Shapiro, B. A.; Shasha, D.; Wang, Z. Y.; Yin, M. S.
  3. Journal of Computational Biology. 1999 6(2): 209-218.
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