Hao Lin Hui Ding MSc candidates Alumni

Hao Lin Ph.D. Professor

He received his Ph.D. in Biophysics in 2007 from Inner Mongolia University. He achieved the New Scholar award and One Hundred Person Project of UESTC. He also obtained the Science and Technology Progress awards of Sichuan and Hebei. His published papers have over 2,500 cites. Now he is the member of Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC. He often serves as reviewer for over 30 international journals such as Briefings in Bioinformatics, Bioinformatics, BMC Systems Biology, Molecular Therapy-Nucleic Acids, IEEE/ACM Transactions on Computational Biology and Bioinformatics, and Journal of Theoretical Biology. Google Scholar ResearcherID

E-mail: hlin@uestc.edu.cn


Selected Papers

19. Wei Chen*.Hui Yang, Peng-Mian Feng, Hui Ding, Hao Lin*, (2017) iDNA4mC: identifying DNA N4-methylcytosine sites based on nucleotide chemical properties. Bioinformatics, Accepted. (2016 IF: 7.307)

18. Hao Lin*, Zhi-Yong Liang, Hua Tang, Wei Chen*. (2017) Identifying sigma70 promoters with novel pseudo nucleotide composition. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Accepted. (2016 IF: 1.955)

17. Pengmian Feng, Hui Ding, Hui Yang, Wei Chen*, Hao Lin*, and Kuo-Chen Chou*. (2017) iRNA-PseColl: A seamless platform for identifying the occurrence sites of different RNA modifications by incorporating collective effects of nucleotides into PseKNC. Molecular Therapy - Nucleic Acids, 7: 155–163. (2016 IF: 6.392)

16. Zhi-Yong Liang, Hong-Yan Lai, Huan Yang, Chang-Jian Zhang, Hui Yang, Huan-Huan Wei, Xin-Xin Chen, Ya-Wei Zhao, Zhen-Dong Su, Wen-Chao Li, En-Ze Deng, Hua Tang, Wei Chen*, Hao Lin* (2017) Pro54DB: a database for experimentally verified sigma-54 promoters. Bioinformatics, 33(3): 467-469. (2016 IF: 7.307)

15. Ting Zhang, Puwen Tan, Liqiang Wang, Nana Jin, Yana Li, Lin Zhang, Huan Yang, Zhenyu Hu, Lining Zhang, Chunyu Hu, Chunhua Li, Kun Qian, Changjian Zhang, Yan Huang, KongningLi*, Hao Lin*, Dong Wang*. (2017) RNALocate: a resource for RNA Subcellular Localizations. Nucleic Acids Research, 45(D1): D135-D138. (2016 IF: 10.162)

14. Chang-Jian Zhang, Hua Tang, Wen-Chao Li, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2016) iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition. Oncotarget, 7(43): 69783-69793. (2015 IF: 5.008)

13. Wei Chen*, Hua Tang, Jing Ye, Hao Lin*, Kuo-Chen Chou*. (2016) iRNA-PseU: Identifying RNA pseudouridine sites. Molecular Therapy - Nucleic Acids, 5: e332. (2015 IF: 5.048)

12. Wen-Chao Li, En-Ze Deng, Hui Ding*, Wei Chen*, Hao Lin* (2015) iORI-PseKNC: a predictor for identifying origin of replication with pseudo k-tuple nucleotide composition. Chemometrics and Intelligent Laboratory Systems, 141: 100-106. (2013 IF: 2.381)

11. Hao Lin*, En-Ze Deng, Hui Ding, Wei Chen*, Kuo-Chen Chou*. (2014) iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition. Nucleic Acids Research, 42(21): 12961-12972. (2013 IF: 8.808) (ESI hot)

10. Wen-Chao Li, Zhe-Jin Zhong, Pan-Pan Zhu, En-Ze Deng, Hui Ding*, Wei Chen*,Hao Lin*. (2014) Sequence analysis of origins of replication in the Saccharomyces cerevisiae genomes. Frontiers in Microbiology, 5: 574. (2013 IF: 3.9)

9. Shou-Hui Guo, En-Ze Deng, Li-Qin Xu, Hui Ding, Hao Lin*, Wei Chen*, Kuo-Chen Chou*. (2014) iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition. Bioinformatics, 30(11): 1522-1529. (2012 IF: 5.323) (ESI hot)

8. Hui Ding*, Shou-Hui Guo, En-Ze Deng, Lu-Feng Yuan, Feng-Biao Guo, Jian Huang, Nini Rao, Wei Chen*, Hao Lin*. (2013) Prediction of Golgi-resident protein types by using feature selection technique. Chemometrics and Intelligent Laboratory Systems, 124: 9-13. (2012 IF: 2.291)

7. Wei Chen*, Peng-Mian Feng, Hao Lin*, Kuo-Chen Chou*. (2013) iRSpot-PseDNC: Identify recombination spots with pseudo dinucleotide composition.Nucleic Acids Research, 41(6): e68. (2012 IF: 8.278) (ESI)

6. Chen Ding, Lu-Feng Yuan, Shou-Hui Guo, Hao Lin*, Wei Chen*. (2012) Identification of mycobacterial membrane proteins and their types using over-represented tripeptide compositions. Journal of Proteomics, 77: 321-328. (2010 IF: 5.074)

5. Wei Chen*, Pengmian Feng, Hao Lin*. (2012) Prediction of replication origins by calculating DNA structural properties. FEBS Letters, 586(6): 934-938. (2012 IF: 3.582)

4. Hao Lin*, Hui Ding. (2011) Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition. Journal of Theoretical Biology, 269(1): 64-69. (2011 IF: 2.208)

3. Hao Lin*, Hui Ding, Feng-Biao Guo, Jian Huang. (2010) Prediction of subcellular location of mycobacterial protein using feature selection techniques. Molecular Diversity, 14(4): 667-671. (2010 IF: 3.721)

2. Hao Lin*. (2008) The modified Mahalanobis Discriminant for predicting outer membrane proteins by using chou's pseudo amino acid composition.Journal of Theoretical Biology, 252(2): 350-356. (2008 IF: 2.454) (ESI)

1. Hao Lin, Qian-Zhong Li*. (2007) Using pseudo amino acid composition to predict protein structural class: approached by incorporating 400 dipeptide components. Journal of Computational Chemistry, 28(9): 1463-1466. (2006 IF: 4.893)