Yejun Wang

Summary

Publications

  1. doi request reprint Prediction of bacterial type IV secreted effectors by C-terminal features
    Yejun Wang
    Genomics Research Center, Harbin Medical University, Harbin, China
    BMC Genomics 15:50. 2014
  2. pmc T3DB: an integrated database for bacterial type III secretion system
    Yejun Wang
    School of Life Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    BMC Bioinformatics 13:66. 2012
  3. pmc T3_MM: a Markov model effectively classifies bacterial type III secretion signals
    Yejun Wang
    Genomics Research Center, Haerbin Medical University, Harbin, China
    PLoS ONE 8:e58173. 2013
  4. pmc Effective identification of bacterial type III secretion signals using joint element features
    Yejun Wang
    School of Life Sciences and the State Key Lab of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    PLoS ONE 8:e59754. 2013
  5. doi request reprint High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles
    Yejun Wang
    The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
    Bioinformatics 27:777-84. 2011
  6. ncbi request reprint RedoxDB--a curated database for experimentally verified protein oxidative modification
    Ming An Sun
    School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
    Bioinformatics 28:2551-2. 2012
  7. pmc A model-based method for gene dependency measurement
    Qing Zhang
    School of Life Sciences and the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
    PLoS ONE 7:e40918. 2012
  8. pmc Investigation of glandular trichome proteins in Artemisia annua L. using comparative proteomics
    Ting Wu
    School of Life Sciences and State Kay Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, People s Republic of China
    PLoS ONE 7:e41822. 2012

Collaborators

Detail Information

Publications8

  1. doi request reprint Prediction of bacterial type IV secreted effectors by C-terminal features
    Yejun Wang
    Genomics Research Center, Harbin Medical University, Harbin, China
    BMC Genomics 15:50. 2014
    ..Therefore, an effective inter-species T4SS effector prediction tool is urgently needed to help discover new effectors in a variety of bacterial species, especially those with few known effectors, e.g., Helicobacter pylori...
  2. pmc T3DB: an integrated database for bacterial type III secretion system
    Yejun Wang
    School of Life Science, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    BMC Bioinformatics 13:66. 2012
    ..It is necessary to set up a knowledgebase integrating T3SS-related research data to facilitate the communication between different research groups interested in different bacteria...
  3. pmc T3_MM: a Markov model effectively classifies bacterial type III secretion signals
    Yejun Wang
    Genomics Research Center, Haerbin Medical University, Harbin, China
    PLoS ONE 8:e58173. 2013
    ..We used these comparisons to set up a statistic model to quantitatively model and effectively distinguish T3S effectors...
  4. pmc Effective identification of bacterial type III secretion signals using joint element features
    Yejun Wang
    School of Life Sciences and the State Key Lab of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
    PLoS ONE 8:e59754. 2013
    ....
  5. doi request reprint High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles
    Yejun Wang
    The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong
    Bioinformatics 27:777-84. 2011
    ..Previous computational methods for T3S protein prediction have only achieved limited accuracy, and distinct features for effective T3S protein prediction remain to be identified...
  6. ncbi request reprint RedoxDB--a curated database for experimentally verified protein oxidative modification
    Ming An Sun
    School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
    Bioinformatics 28:2551-2. 2012
    ..Bulk download of the entire dataset is also available. We expect that RedoxDB will be useful for both experimental studies and computational analyses of protein oxidative modification...
  7. pmc A model-based method for gene dependency measurement
    Qing Zhang
    School of Life Sciences and the State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
    PLoS ONE 7:e40918. 2012
    ..To validate the new prediction, the promoter sequences of target genes regulated by the same transcription factors were analyzed and significant motifs were identified...
  8. pmc Investigation of glandular trichome proteins in Artemisia annua L. using comparative proteomics
    Ting Wu
    School of Life Sciences and State Kay Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, People s Republic of China
    PLoS ONE 7:e41822. 2012
    ..Functional classification of these GSTs enriched proteins revealed that many of them participate in major plant metabolic processes such as electron transport, transcription and translation...