Sun MA - Search Results

1

High-accuracy prediction of bacterial type III secreted effectors based on position-specific amino acid composition profiles.

Wang Y, Zhang Q, Sun MA, Guo D. Wang Y, et al. Among authors: sun ma. Bioinformatics. 2011 Mar 15;27(6):777-84. doi: 10.1093/bioinformatics/btr021. Epub 2011 Jan 13. Bioinformatics. 2011. PMID: 21233168

2

Phylogenetic analyses of complete mitochondrial genome of Urechis unicinctus (Echiura) support that echiurans are derived annelids.

Wu Z, Shen X, Sun M, Ren J, Wang Y, Huang Y, Liu B. Wu Z, et al. Mol Phylogenet Evol. 2009 Aug;52(2):558-62. doi: 10.1016/j.ympev.2009.03.009. Epub 2009 Mar 21. Mol Phylogenet Evol. 2009. PMID: 19306935 No abstract available.

3

T3DB: an integrated database for bacterial type III secretion system.

Wang Y, Huang H, Sun M, Zhang Q, Guo D. Wang Y, et al. BMC Bioinformatics. 2012 Apr 30;13:66. doi: 10.1186/1471-2105-13-66. BMC Bioinformatics. 2012. PMID: 22545727 Free PMC article.

4

A model-based method for gene dependency measurement.

Zhang Q, Fan X, Wang Y, Sun M, Sun SS, Guo D. Zhang Q, et al. PLoS One. 2012;7(7):e40918. doi: 10.1371/journal.pone.0040918. Epub 2012 Jul 19. PLoS One. 2012. PMID: 22829898 Free PMC article.

5

RedoxDB--a curated database for experimentally verified protein oxidative modification.

Sun MA, Wang Y, Cheng H, Zhang Q, Ge W, Guo D. Sun MA, et al. Bioinformatics. 2012 Oct 1;28(19):2551-2. doi: 10.1093/bioinformatics/bts468. Epub 2012 Jul 25. Bioinformatics. 2012. PMID: 22833525

6

T3_MM: a Markov model effectively classifies bacterial type III secretion signals.

Wang Y, Sun M, Bao H, White AP. Wang Y, et al. PLoS One. 2013;8(3):e58173. doi: 10.1371/journal.pone.0058173. Epub 2013 Mar 5. PLoS One. 2013. PMID: 23472154 Free PMC article.

7

Effective identification of bacterial type III secretion signals using joint element features.

Wang Y, Sun M, Bao H, Zhang Q, Guo D. Wang Y, et al. PLoS One. 2013 Apr 4;8(4):e59754. doi: 10.1371/journal.pone.0059754. Print 2013. PLoS One. 2013. PMID: 23593149 Free PMC article.

8

Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.

Sun MA, Zhang Q, Wang Y, Ge W, Guo D. Sun MA, et al. BMC Bioinformatics. 2016 Aug 24;17(1):316. doi: 10.1186/s12859-016-1185-4. BMC Bioinformatics. 2016. PMID: 27553667 Free PMC article.

9

Prediction of reversible disulfide based on features from local structural signatures.

Sun MA, Wang Y, Zhang Q, Xia Y, Ge W, Guo D. Sun MA, et al. BMC Genomics. 2017 Apr 4;18(1):279. doi: 10.1186/s12864-017-3668-8. BMC Genomics. 2017. PMID: 28376774 Free PMC article.

10

EBT: a statistic test identifying moderate size of significant features with balanced power and precision for genome-wide rate comparisons.

Hui X, Hu Y, Sun MA, Shu X, Han R, Ge Q, Wang Y. Hui X, et al. Among authors: sun ma. Bioinformatics. 2017 Sep 1;33(17):2631-2641. doi: 10.1093/bioinformatics/btx294. Bioinformatics. 2017. PMID: 28472273

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