1. Nakamura, T., Furunaka, H., Miyata, T., et al.: Tachyplesin, a class of antimicrobial peptide from the hemocytes of the horseshoe crab (Tachypleustridentatus), isolation and chemical structure. Biological Chemistry263, 16709–16713 (1988)

   Google Scholar 

2. Ramamoorthy, S., Thennarasu, A., Tan, K., et al.: Deletion of all cysteines in tachyplesin I abolishes hemolytic activity and retains antimicrobial activity and lipopolysaccharide selective binding. Biochemistry45, 6529–6540 (2006)

   Article  Google Scholar 

3. Masuda, K., Ohta, M., Ito, M., et al.: Bactericidal action of tachyplesin I against oral streptococci. Oral Microbiology and Immunology9(2), 77–80 (1994)

   Article  Google Scholar 

4. Ouyang, G.L., Li, Q.F., Peng, X.X., et al.: Effects of tachyplesin on proliferation and differentiation of human hepatocellular carcinoma SMMC-7721 cells. World Journal of Gastroenterology8(6), 1053–1058 (2002)

   Google Scholar 

5. Gao, Y., Zhao, H., Feng, X., et al.: Expression of Recombinant Human Lysozyme-tachyplesin I (hLYZ-TP I) in PichiaPastoris and Analysis of Antibacterial Activity. Biomed. Environ. Sci.26(4), 319–322 (2013)

   Google Scholar 

6. Teixeira, V., Feio, M., Bastos, M.: Role of lipids in the interaction of antimicrobial peptides with membranes. Prog. Lipid Res.51, 149–177 (2012)

   Article  Google Scholar 

7. Chapman, D., Papaioannou, V.: Three neural tubes in mouse embryos with mutations in the T-box gene Tbx6. Nature391(12), 695–697 (1998)

   Google Scholar 

8. Nikaido, M., Kawakami, A., Sawada, A., et al.: Tbx24, encoding a T-box protein, is mutated in the zebrafish somite-segmentation mutant fused somites. Nature Genetics31(2), 195–199 (2002)

   Article  Google Scholar 

9. Kushibiki, T., Kamiya, M., Aizawa, T., et al.: Interaction between tachyplesin I, peptide derived from horseshoe crab, and lipopolysaccharide. Biochim. Biophys. Acta1844(3), 527–534 (2014)

   Article  Google Scholar 

10. Qiu, D., Liu, X., Wang, J., Su, Y.: Remove from marked Records Artificial synthesis of TAT PTD-tachyplesin fusion gene by overlap extension PCR. J. Agricultural Biotechnology2(3), 1–4 (2013)

    Google Scholar 

11. Zhao, H., Dai, J., Jin, G.: Genomic and functional analysis of the toxic effect of tachyplesin I on the embryonic development of zebrafish accepted by Computational and Mathematical Methods in Medicine

    Google Scholar 

12. van den Boom, J., Wolter, M., Kuick, R., et al.: Characterization of Gene Expression Profiles Associated with Glioma Progression Using Oligonucleotide-Based Microarray Analysis and Real-Time Reverse Transcription-Polymerase Chain Reaction. The American Journal of Pathology163(3), 1033–1043 (2003)

    Article  Google Scholar 

13. Magnus, N., Gerges, N., Jabado, N., Rak, J.: Coagulation-related gene expression profile in glioblastoma is defined by molecular disease subtype. Journal of Thrombosis and Haemostasis11(6), 1197–1200 (2013)

    Article  Google Scholar 

14. Wang, L.P., Chu, F., Xie, W.: Accurate cancer classification using expressions of very few genes. IEEE-ACM Transactions on Bioinformatics and Computational Biology4(1), 40–53 (2007)

    Article MathSciNet  Google Scholar 

15. Mitra, S., Hayashi, Y.: Bioinformatics with soft computing. IEEE Transactions on Systems, Man and Cybernetics, Part C36, 616–635 (2006)

    Article  Google Scholar 

16. Tseng, V., Kao, C.: Efficiently mining gene expression data via a novel parameterless clustering method. IEEE-ACM Transactions on Computational Biology and Bioinformatics2, 355–365 (2005)

    Article  Google Scholar 

17. Cheng, Y., Church, G.M.: Biclustering of Gene-Expression Data. In: Proc. Eighth Int’l Conf. Intelligent Systems for Molecular Biology (ISMB 2000), pp. 93–103 (2000)

    Google Scholar 

18. Madeira, S.C., Oliveira, A.L.: Biclustering Algorithms for Biological Data Analysis: A Survey. IEEE/ACM Trans. Computational Biology and Bioinformatics1(1), 24–45 (2004)

    Article  Google Scholar 

19. Tanay, A., Sharan, R., Shamir, R.: Biclustering Algorithms: A Survey. In: Aluru, S. (ed.) Handbook of Computational Molecular Biology. Chapman & Hall (2005)

    Google Scholar 

20. Zhao, H., Liew, A.W.-C., Wang, D.Z., Yan, H.: Biclustering Analysis for Pattern Discovery: Current Techniques. Comparative Studies and Applications Current Bioinformatics7(1), 43–55 (2012)

    Article  Google Scholar 

21. Gan, X., Liew, A.W.C., Yan, H.: Discovering Biclusters in Gene Expression Data Based on High-Dimensional Linear Geometries. BMC Bioinformatics9(209) (2008)

    Google Scholar 

22. Zhao, H., Liew, A.W.-C., Yan, H.: A New Strategy of Geometrical Biclustering for Microarray Data Analysis. In: APBC, pp. 47–56 (2007)

    Google Scholar 

23. Zhao, H., Liew, A.W.-C., Xie, X., Yan, H.,: A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data. Journal of Theoretical Biology251, 264–274

    Google Scholar 

24. Zhao, H., Chan, K.-L., Cheng, L.-M., Yan, H.: A probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data. Pattern Recognition42(11), 2578–2588 (2009)

    Article MATH  Google Scholar 

25. Ashburner, M., et al.: Gene Ontology: tool for the unification of biology. Nature Genetics25, 25–29 (2000)

    Article  Google Scholar 

Download references