Huai Kuang Tsai

Summary

Affiliation: Academia Sinica
Country: Taiwan

Publications

  1. ncbi Evolution of cis-regulatory elements in yeast de novo and duplicated new genes
    Zing Tsung Yeh Tsai
    Institute of Information Science, Academia Sinica, Taipei, Taiwan
    BMC Genomics 13:717. 2012
  2. ncbi Evolutionary conservation of DNA-contact residues in DNA-binding domains
    Yao Lin Chang
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan
    BMC Bioinformatics 9:S3. 2008
  3. ncbi MYBS: a comprehensive web server for mining transcription factor binding sites in yeast
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, Taipei, 115 Taiwan
    Nucleic Acids Res 35:W221-6. 2007
  4. ncbi Co-expression of adjacent genes in yeast cannot be simply attributed to shared regulatory system
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    BMC Genomics 8:352. 2007
  5. ncbi Co-Expression of Neighboring Genes in the Zebrafish (Danio rerio) Genome
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, 128 Sec 2, Academia Rd, Nankang, 115, Taipei, Taiwan E Mail H K T
    Int J Mol Sci 10:3658-70. 2009
  6. ncbi Method for identifying transcription factor binding sites in yeast
    Huai-Kuang Tsai
    Genomics Research Center, Academia Sinica, Taipei, 115 Taiwan
    Bioinformatics 22:1675-81. 2006
  7. ncbi MetaABC--an integrated metagenomics platform for data adjustment, binning and clustering
    Chien Hao Su
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    Bioinformatics 27:2298-9. 2011
  8. ncbi Genome-wide analysis of the cis-regulatory modules of divergent gene pairs in yeast
    Chien Hao Su
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    Genomics 96:352-61. 2010
  9. ncbi Analysis of the association between transcription factor binding site variants and distinct accompanying regulatory motifs in yeast
    Sufeng Chiang
    Institute of Information Science, Academia Sinica, Taiwan
    Gene 491:237-45. 2012
  10. ncbi Evidence of association between nucleosome occupancy and the evolution of transcription factor binding sites in yeast
    Krishna B S Swamy
    Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan
    BMC Evol Biol 11:150. 2011

Collaborators

  • Chien Hao Su
  • Wen Hsiung Li
  • Chien yu Chen
  • Yen Jen Oyang
  • Jengnan Tzeng
  • Cheng-Yan Kao
  • Yuh Jyh Hu
  • Daryi Wang
  • Krishna B S Swamy
  • Zing Tsung Yeh Tsai
  • Sufeng Chiang
  • Tse Yi Wang
  • Mei Ju May Chen
  • Jinn Moon Yang
  • Francis C Weng
  • Huang Mo Sung
  • Chung Yi Cho
  • Yao Lin Chang
  • Jinn-Moon Yang
  • East Zhao
  • Chi-Hung Tsai
  • Chih Hsu Lin
  • Henry Horng Shing Lu
  • Jen Hao Cheng
  • Lih Ching Chou
  • Tsung Ting Hsieh
  • Chi Yuan Yu
  • Yuan Fan Tsai
  • Kai Wei Liu
  • Ding Dar Lee
  • Ting Wei Hsu
  • Wen Yi Chu
  • Chun Yi Wang
  • Ming Tsung Hsu
  • Ming Che Shih
  • Yi Chen Lee
  • Peggy Yang
  • Tso Ching Lee
  • Chih Jen Huang
  • Tiffany Chang
  • Jen Pey Wu
  • Tien Hsien Chang
  • Yu Shan Huang
  • Tzi Yuan Wang
  • Joyce Hsu
  • Li Chuan Weng
  • Yung-Chian Chen
  • Yung Chian Chen
  • Yao-Lin Chang
  • Chen-hsiung Chan
  • Hsuan-Liang Liu
  • Chi Hung Tsai
  • Ming Jing Hwang
  • Ming-Jing Hwang
  • Jenn Kang Hwang
  • Jenn-Kang Hwang

Detail Information

Publications21

  1. ncbi Evolution of cis-regulatory elements in yeast de novo and duplicated new genes
    Zing Tsung Yeh Tsai
    Institute of Information Science, Academia Sinica, Taipei, Taiwan
    BMC Genomics 13:717. 2012
    ..Here, we conducted a comprehensive investigation to depict the emergence and establishment of cis-regulatory elements in de novo yeast genes...
  2. ncbi Evolutionary conservation of DNA-contact residues in DNA-binding domains
    Yao Lin Chang
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan
    BMC Bioinformatics 9:S3. 2008
    ..In this study, we proposed a method to determine whether a domain or a protein can has DNA binding capability by considering evolutionary conservation of DNA-binding residues...
  3. ncbi MYBS: a comprehensive web server for mining transcription factor binding sites in yeast
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, Taipei, 115 Taiwan
    Nucleic Acids Res 35:W221-6. 2007
    ..MYBS also allows users to identify target gene sets of each TF pair, which could be used as a starting point for further explorations of TF combinatorial regulation. MYBS is available at http://cg1.iis.sinica.edu.tw/~mybs/...
  4. ncbi Co-expression of adjacent genes in yeast cannot be simply attributed to shared regulatory system
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    BMC Genomics 8:352. 2007
    ..iis.sinica.edu.tw/~mybs/, the ratios of TF-sharing pairs among all the adjacent pairs in yeast genomes were analyzed. The levels of co-expression in different adjacent patterns were also compared...
  5. ncbi Co-Expression of Neighboring Genes in the Zebrafish (Danio rerio) Genome
    Huai Kuang Tsai
    Institute of Information Science, Academia Sinica, 128 Sec 2, Academia Rd, Nankang, 115, Taipei, Taiwan E Mail H K T
    Int J Mol Sci 10:3658-70. 2009
    ..Our findings therefore suggest that physical distance may play an important role in the co-expression of neighboring genes. Possible mechanisms related to the neighboring genes' co-expression are also discussed...
  6. ncbi Method for identifying transcription factor binding sites in yeast
    Huai-Kuang Tsai
    Genomics Research Center, Academia Sinica, Taipei, 115 Taiwan
    Bioinformatics 22:1675-81. 2006
    ..For synthetic data and yeast cell cycle TFs, TFBSfinder identifies motifs that are highly similar to known consensuses. Moreover, TFBSfinder outperforms well-known methods. AVAILABILITY: http://cg1.iis.sinica.edu.tw/~TFBSfinder/...
  7. ncbi MetaABC--an integrated metagenomics platform for data adjustment, binning and clustering
    Chien Hao Su
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    Bioinformatics 27:2298-9. 2011
    ..After execution, MetaABC provides outputs in various visual formats such as tables, pie and bar charts as well as clustering result diagrams...
  8. ncbi Genome-wide analysis of the cis-regulatory modules of divergent gene pairs in yeast
    Chien Hao Su
    Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
    Genomics 96:352-61. 2010
    ..Our analysis suggests that genes in a divergent pair tend to be co-regulated in at least one condition; however, in most conditions, they may not be co-regulated...
  9. ncbi Analysis of the association between transcription factor binding site variants and distinct accompanying regulatory motifs in yeast
    Sufeng Chiang
    Institute of Information Science, Academia Sinica, Taiwan
    Gene 491:237-45. 2012
    ..e., highly co-localized). Moreover, such associations were highly conserved between sensu stricto yeasts and also influenced gene expression, which were consistent with enriched functional categories...
  10. ncbi Evidence of association between nucleosome occupancy and the evolution of transcription factor binding sites in yeast
    Krishna B S Swamy
    Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan
    BMC Evol Biol 11:150. 2011
    ..Here, we present a comprehensive analysis of the role of nucleosome positioning in the evolution of transcription factor binding sites...
  11. ncbi Roles of trans and cis variation in yeast intraspecies evolution of gene expression
    Huang Mo Sung
    Genomics Research Center, Academia Sinica, Taipei, Taiwan
    Mol Biol Evol 26:2533-8. 2009
    ..Moreover, MIM genes are, on average, subject to stronger trans effects than SIM genes, though the difference between the two types of genes is not conspicuous...
  12. ncbi De novo motif discovery facilitates identification of interactions between transcription factors in Saccharomyces cerevisiae
    Mei Ju May Chen
    Department of Computer Science and Information Engineering, National Taiwan University and Institute of Information Science, Academia Sinica, Taipei, Taiwan
    Bioinformatics 28:701-8. 2012
    ..This article aims at improving the accuracy of inferring TF-TF interactions by incorporating motif discovery as a fundamental step when detecting overlapping targets of TFs based on ChIP-chip data...
  13. ncbi Statistical methods for identifying yeast cell cycle transcription factors
    Huai-Kuang Tsai
    Genomics Research Center, Academia Sinica, Nankang, Taipei 115, Taiwan
    Proc Natl Acad Sci U S A 102:13532-7. 2005
    ..In addition to the cell cycle, our methods are also applicable to other functions...
  14. ncbi MetaRank: a rank conversion scheme for comparative analysis of microbial community compositions
    Tse Yi Wang
    Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan
    Bioinformatics 27:3341-7. 2011
    ..However, such estimated abundances might deviate from the true abundances in habitats due to sampling biases and other systematic artifacts in metagenomic data processing...
  15. ncbi Impact of DNA-binding position variants on yeast gene expression
    Krishna B S Swamy
    Institute of Information Science, National Yang Ming University, Taiwan
    Nucleic Acids Res 37:6991-7001. 2009
    ..Our analysis supports the importance of nucleotide variants at variable positions of TFBSs in gene regulation...
  16. ncbi Reanalyze unassigned reads in Sanger based metagenomic data using conserved gene adjacency
    Francis C Weng
    Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
    BMC Bioinformatics 11:565. 2010
    ..We also compared the consistency between our taxonomic binning and those reported in the original studies...
  17. ncbi Cysteine separations profiles on protein sequences infer disulfide connectivity
    East Zhao
    Bioinformatics Laboratory, Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd, Taipei, Taiwan 106
    Bioinformatics 21:1415-20. 2005
    ..It may be also combined with other algorithms for further improvements in protein structure prediction. AVAILABILITY: The program and datasets are available from the authors upon request. CONTACT: ...
  18. ncbi An evolutionary approach for gene expression patterns
    Huai Kuang Tsai
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan, ROC
    IEEE Trans Inf Technol Biomed 8:69-78. 2004
    ..These results indicate that HeSGA has potential in analyzing gene expression patterns...
  19. ncbi An evolutionary algorithm for large traveling salesman problems
    Huai Kuang Tsai
    Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan, ROC
    IEEE Trans Syst Man Cybern B Cybern 34:1718-29. 2004
    ..0074% above the optimum for each test problem. These findings imply that the proposed method can find tours robustly with a fixed small population and a limited family competition length in reasonable time, when used to solve large TSPs...
  20. ncbi Discovering gapped binding sites of yeast transcription factors
    Chien yu Chen
    Department of Bio Industrial Mechatronics Engineering, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 106, Taiwan
    Proc Natl Acad Sci U S A 105:2527-32. 2008
    ..Predictions on additional 54 TFs successfully discover 11 gapped and 38 ungapped motifs supported by literature. Our method achieves high sensitivity and specificity for predicting experimentally verified TFBSs...
  21. ncbi GEM: a Gaussian Evolutionary Method for predicting protein side-chain conformations
    Jinn Moon Yang
    Department of Biological Science and Technology and Institute of Bioinformatics, National Chiao Tung University, Hsinchu, 30050, Taiwan
    Protein Sci 11:1897-907. 2002
    ..These results suggest that GEM is robust and can be used to examine the factors limiting the accuracy of protein side-chain prediction methods. Furthermore, it can be used to systematically evaluate and thus improve scoring functions...