Faculty

Teacher Basic Information

Name: Tian Weidong

Title: Professor

Email: weidong.tian@fudan.edu.cn

Office location: G609, Shengke Building

Office phone: 021-31246723

research direction

Development and application of bioinformatics methods, including screening of disease coding variants and non-coding regulatory sequence variants and algorithm development and application of clinical phenotype data analysis, analysis method development and clinical application of single-cell data, RNA editing and gene transcription regulation, Development and application of analytical methods for biological pathways and biological networks, etc.

Personal profile

Bachelor degree from Shanghai Jiaotong University in 1995, master degree from Tsinghua University in 1998, Ph.D. from Washington University (St. Louis) in 2004, and postdoctoral fellow at Harvard Medical School from 2005 to 2008. Since 2008, he has been a professor and doctoral supervisor of the School of Life Sciences, Fudan University, and the PI of the State Key Laboratory of Genetic Engineering of Fudan University. Since 2009, he has been a part-time PI of the Children's Hospital Affiliated to Fudan University. Since 2018, he has been a part-time PI of Qilu Children's Hospital of Shandong University. Shanghai Pujiang talent, Shanghai Shuguang scholar. Director of the Functional Genome Informatics and Systems Biology Branch of the Chinese Society of Cell Biology, executive director of the Precision Medicine Branch of the China Health Production Enterprise Management Association, etc.

Teaching situation

Omics data statistics and analysis (undergraduate, postgraduate), biostatistics methods and applications (postgraduate)

Admissions

biostatistics, bioinformatics

Representative papers and monographs

1. Zhang, F., Li, X., Tian, W#. (2020) Unsupervised Inference of Developmental Directions for Single Cells Using VECTOR. Cell Rep. 2020 Aug 25;32(8):108069. doi: 10.1016/j.celrep .2020.108069. (PMID:32846127)

2. Zhang, F., Wu, Y., Tian, W#. (2019) A novel approach to remove the batch effect of single-cell data. Cell Discovery. 2019 Sep 24;5:46. doi: 10.1038/s41421-019 -0114-x. (PMID: PMC6796914)

3. Li, Z*., Zhang, F*., Wang, Y., Qiu, Y., Wu, Y., Lu, Y., Yang, L., Qu, WJ, Wang, H., Zhou, W. #, and Tian W #.(2019) PhenoPro: A novel toolkit for assisting in the diagnosis of Mendelian diseases. Bioinformatics .2019 Feb 19. pii: btz100. doi: 10.1093/bioinformatics/btz100 (PMID: 30843052)

4. Zhang, F., Lu, Y., Yan, S., Xing, Q., Tian W #. (2017) SPRINT: an SNP-free toolkit for identifying RNA editing sites. Bioinformatics . July 24; DOI: https:/ /doi.org/10.1093/bioinformatics/btx473.(PMID:29036410)

5. Chen, J. and Tian, W.# (2016) Explaining the disease phenotype of intergenic SNP through predicted long range regulation. Nucleic acids research , 44, 8641-8654. (PMID: 27280978)

6. Dong, X., Wang, X., Zhang, F. and Tian, W# . (2016) Genome-Wide Identification of Regulatory Sequences Undergoing Accelerated Evolution in the Human Genome. Molecular Biology and Evolution , 33, 2565-2575. ( PMID: 27401230)

7. Gong, Q., Ning, W. and Tian, W#. (2016) GoFDR: A sequence alignment based method for predicting protein functions. Methods , 93, 3-14. (PMID: 26277418)

8. Chang, BH and Tian, W.# (2016) GSA-Lightning: ultra-fast permutation-based gene set analysis. Bioinformatics , 32, 3029-3031. (PMID: 27296982)

9. Tian Weidong , Zhao Xingming. "Bioinformatics and Functional Genomics", Chemical Industry Press, January 2020