Dr Jing Li's Group

  Department of Bioinformatics and Biostatistics

  Shanghai Jiao Tong University

Recently published: "NIPS, a 3D network-integrated predictor of deleterious protein SAPs, and its application in cancer prognosis". Scientific Reports (2018, May).      READ MORE >

Recently published: "Metagenomic Taxonomy-Guided Database-Searching Strategy for Improving Metaproteomic Analysis". Journal of Proteome Research. (2018, April).      READ MORE >

Recently published: "Network Module-Based Model in the Differential Expression Analysis for RNA-seq". Bioinformatics. (2017, April).      READ MORE >

Recently published: "CanProVar 2.0: An Updated Database of Human Cancer Proteome Variation". Journal of Proteome Research. (2017, Feb).      READ MORE >

Recently published: "Construction and Deciphering of Human Phosphorylation-Mediated Signaling Transduction Networks".Journal of Proteome Research. (2015, Jul).      READ MORE >

Recently published: "Network-Based Association Study of Obesity and Type 2 Diabetes with Gene Expression Profiles". Biomed Res Int. (2015, Jul).      READ MORE >

We develops and applies computational methods of mass spectrometry (MS)-based proteomics for formulating the processes of complex phenotype/diseases by integrating genome/transcriptome data and biological network. Our ambitious is to prioritize key proteins or protein variations/modifications in disease, as well as identify clinical biomarker, predict functional sub-network/pathways, interpret mechanisms underneath specific molecular processes or states by means of developing statistic models and bioinformatic approaches.

  1. Network Module-Based Model in the Differential Expression Analysis for RNA-seq. Bioinformatics ,2017.
  2. CanProVar 2.0: An Updated Database of Human Cancer Proteome Variation. Journal of Proteome Research , 2017.
  3. Biological Network Module-Based Model for the Analysis of Differential Expression in Shotgun Proteomics. Journal of Proteome Research , 2014.
  4. Evaluation and integration of existing methods for computational prediction of allergens. BMC Bioinformatics, 2013.
  5. A Bioinformatics Workflow for Variant Peptide Detection in Shotgun Proteomics. Molecular Cellular Proteomics, 2011.
  6. CanProVar: A Human Cancer Proteome Variation Database. Human mutation, 2010.
  7. Network-assisted Protein Identification and Data Interpretation in Shotgun Proteomics. Molecular Systems Biology, 2009.
  8. Multi-Site Assessment of The Precision and Reproducibility of Multiple Reaction Monitoring–based Measurements of Proteins in Plasma. Nature Biotechnology, 2009.
  9. Regulatory Module Network of bHLH Transcription Factors in Mouse Brain. Genome Biology, 2007.


Jing Li

Dr. Jing Li, PI

Phone: 86 21 34204348-108
Email: jing.li@sjtu.edu.cn



[April]   Bo Wang was awarded SJTU excellent graduate in 2018 (上海交通大学优秀毕业生).

[April]   Jingqiu won Award of Excellent Graduate, Shanghai in 2018 (上海市优秀毕业生).

[March]   Bo Wang's NIPS (protein mutation ranking) paper was accepted by Scientific Reports, Congs!.

[Feb]   Jingqiu's Metaproteome paper was accepted by Journal of Proteome Research, Congs!.


[Sept]   Welcome new graduate students Yongxin, Yihao, Liangquan and Christopher join us!

[Sept]   Mingli's article is published in Bioinformatics, Congs!.


Biostatistics& Bioinformatics Workshop 2017

[April]   Welcome new PhD student Yafei Chang to our lab.

[April]   Mingli's statistical model paper is accepted to Bioinformatics.

[March]   Xiaojing's allergen prediction paper is online at Interdisciplinary Sciences: Computational Life Sciences

[Feb]   Menghuan's CanProVar 2.0 paper is published at Journal of Proteome Research.


[Sept]   Wecome Xi Cheng and Jingya Jia to our group.

[May]   Congratulations to Jing Li, and Xi Cheng for receiving the University's Outstanding Graduate.

Biology Complex,
800 Dongchuan Road, Minhang
Shanghai, China, 200240

©2012-2018 Jing Li