LI Lei
2018-10-24 | | 【Print】

Prof. LI Lei was a tenure-track assistant Professor in statistics at Florida State University from 1998 to 2002. From 2002-2010, he joined the computational biology and mathematics department at University of Southern California, where he got his tenure in 2005. From 2010, he returned to Academy of Mathematics and Systems Science, Chinese Academy of Sciences as a fellow. His major research interests are computational biology and discovery of mechanisms of diseases and aging from omic big data. He was the PI of NIH, R01 grant GM75308-01 " Detection and Understanding of Expression differentiation of Yeast Life Span Extension ", a Co-PI of NIH, P50 HG002790, "Center of Excellence in Genomic Science: Implications of Haplotype Structure in the Human Genome". After he returned to China, he was the PIs of three CNSF grants in computational biology. He is PI of one grant from the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDB13040600).

Research Interest    

We are interested in computational biology and bioinformatics. Dr. LI received solid training in applied and statistics, and published papers in computations, information theory and statistics in his early academic career. Since his Ph.D thesis research, his interest gradually moved to computational biology. Now his research interests lie in two parts. The first part is on algorithms and statistics in high throughput omic data such as DNA sequencing, microarrays, optical mapping. His model of color correction is adopted by Illumina/Solexa sequencing platform. The second part is the discovery of molecular mechanisms of phenotypes and diseases. We published several mechanisms of yeast longevity. Recently, using an outbred mouse model, we reported that a kind of angiogenesis in pancreas, that is associated with hyperinsulinemia, occurs in the pre-diabetes stage.

Selected Publications    

 

1.         彭小丁*,李雷*. 2018. 治愈2型糖尿病难题的新视角:及早发现、及早治疗, 医学综述.

2.         Wang, A, Wang, Z, Li, Z, Li, LM*. 2018. BAUM: A DNA Assembler by Adaptive Unique Mapping and Local Overlap-Layout-ConsensusBioinformatics 10.1093/bioinformatics/bty020

3.         Zhang, S, Wang, B, Wan, L, Li, LM*. 2017. Estimating Phred scores of Illumina base calls by logistic regression and sparse modeling. BMC Bioinformatics, 18, 335.

4.         Wang, B, Wan, L, Wang, A, Li, LM*. 2017. An adaptive decorrelation method removes Illumina DNA base-calling errors caused by crosstalk between adjacent clusters. Scientific Reports, 7, 41348 .

5.         Li, LM*, Liu, X, Wang, L, Wang, Y, Liu, X, Tian, X, Gong, F, Shen, L, Peng, XD. 2017. A Novel Dual Eigen-Analysis of Mouse Multi-Tissues' Expression Profiles Unveils New Perspectives into Type 2 Diabetes. Scientific Reports, 7, 5044.

6.         Chen, S, Wang, A, Li, LM*. 2013. SEME: a fast mapper of Illumina sequencing reads with statistical evaluation. J Comput Biol, 20, 847-60.

7.         Ge, H, Wei, M, Fabrizio, P, Hu, J, Cheng, C, Longo, VD, Li, LM*. 2010. Comparative analyses of time-course gene expression profiles of the long-lived sch9Delta mutant. Nucleic Acids Res, 38, 143-58.

8.         Wei, M, Fabrizio, P, Madia, F, Hu, J, Ge, H, Li, LMLongo, VD*. 2009. Tor1/Sch9-regulated carbon source substitution is as effective as calorie restriction in life span extension. PLoS Genet, 5, e1000467.

9.         Kim, JH, Waterman, MS, Li, L.M. 2007. Diploid genome reconstruction of Ciona intestinalis and comparative analysis with Ciona savignyi. Genome Res, 17, 1101-10.

10.     Cheng, C., Yan, X., Sun, F. & Li, LM*. 2007. Inferring activity changes of transcription factors by binding association with sorted expression profiles. BMC Bioinformatics, 8, 452.

11.     Valouev, A, Li, L, Liu, YC, Schwartz, DC, Yang, Y, Zhang, Y, Waterman, MS. 2006. Alignment of optical maps. J Comput Biol, 13, 442-62.

12.     Cheng, C, Li, LM*. 2005. Sub-array normalization subject to differentiation. Nucleic Acids Res, 33, 5565-73.

13.     Li, M, Nordborg, M, Li, LM*. 2004. Adjust quality scores from alignment and improve sequencing accuracy. Nucleic Acids Res, 32, 5183-91.

14.     Rosenberg, NA, Li, LM, Ward, R, Pritchard, JK. 2003. Informativeness of genetic markers for inference of ancestry. Am J Hum Genet 73, 1402-22.

15.     Li, L*. & Speed, TP. 1999. An estimate of the crosstalk matrix in four-dye fluorescence-based DNA sequencing. Electrophoresis, 20, 1433-1442.

 

 

 

 

+86 871 65199125cceaeg@mail.kiz.ac.cn
Chinese Academy of Sciences(CAS) Kunming Institute of Zoology, CAS Institute of Zoology (IOZ), CAS Shanghai Institute for Biological Sciences, CAS Academy of Mathematics and Systems Science, CAS
Institute of Genetics And Developmental Biology,CAS Institute of Hydrobiology,CAS Beijing Institute of Genomics, CAS Beijing Institute of Life Sciences,CAS Insititue of Vetebrate Plaeontology and Paleanthopolgy,CAS
Chengdu Institute of Biology, CAS Xi'an Branch, CAS University of Science and Technology of China