李君一 Junyi Li

助理教授 Assistant Professor

哈尔滨工业大学(深圳)

Harbin Institute of Technology, Shenzhen

地址: 深圳西丽大学城哈工大校区G栋

Email: lijunyi@hit.edu.cn

研究方向：

生物信息学，生物医学大数据挖掘；系统生物学，计算生物学。

教育经历：

2005/1 - 2011/1，美国罗格斯新泽西州立大学，生物物理学，博士

2007/1 - 2009/1，美国罗格斯新泽西州立大学，统计学，硕士

1998/9 - 2002/7，北京大学，物理学，学士

工作经历：

2013/9 – 2016/11，中国科学院上海生命科学研究院，生物化学与细胞生物学研究所系统生物学重点实验室，博士后

2011/5 - 2013/5，美国罗格斯新泽西州立大学，生态、进化及自然资源学系，博士后

2005/1 - 2011/1，美国罗格斯新泽西州立大学，物理和天文物理学系及BioMaps研究所，助研

任教和任导师经历：

《大学计算机》《计算机专业导论》《生物信息学》

发表论文:

期刊文章

1. rMETL: sensitive mobile element insertion detection with long read realignment. Jiang T, Liu B, Li J, Wang Y. Bioinformatics. 2019 Sep 15;35(18):3484-3486. doi: 10.1093/bioinformatics/btz106.

2. Integrated entropy-based approach for analyzing exons and introns in DNA sequences. Li J, Zhang L, Li H, Ping Y, Xu Q, Wang R, Tan R, Wang Z, Liu B, Wang Y. BMC Bioinformatics. 2019 Jun 10;20(Suppl 8):283. doi: 10.1186/s12859-019-2772-y.

3. deGSM: memory scalable construction of large scale de Bruijn Graph. Guo H, Fu Y, Gao Y, Li J, Wang Y, Liu B. IEEE/ACM Trans Comput Biol Bioinform. 2019 Apr 30. doi: 10.1109/TCBB.2019.2913932. [Epub ahead of print]

4. BdBG: a bucket-based method for compressing genome sequencing data with dynamic de Bruijn graphs. Wang R, Li J, Bai Y, Zang T, Wang Y. PeerJ. 2018 Oct 19;6:e5611. doi: 10.7717/peerj.5611. eCollection 2018.

5. rMFilter: acceleration of long read-based structure variation calling by chimeric read filtering. Liu B, Jiang T, Yiu SM, Li J, Wang Y. Bioinformatics. 2017 Sep 1;33(17):2750-2752. doi: 10.1093/bioinformatics/btx279.

6. Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis. Li Q, Li J, Dai W, Li YX, Li YY. Artif Intell Med. 2017 Mar;77:12-22. doi: 10.1016/j.artmed.2017.02.006. Epub 2017 Mar 1.

7. The Safety of Ovarian Preservation in Stage I Endometrial Endometrioid Adenocarcinoma Based on Propensity Score Matching. Hou T, Sun Y, Li J, Liu C, Wang Z, Li Y, Lu Y. Comb Chem High Throughput Screen. 2017;20(7):647-655. doi: 10.2174/1386207320666170417145856.

8. Integrated Differential Regulatory Analysis Reveals a Novel Prognostic 36-Gene Signature for Gastric Cancer in Asian Population. Li J, Wu S, Yang L, Li YX, Liu BY, Li YY. Comb Chem High Throughput Screen. 2017;20(2):174-181. doi: 10.2174/1386207320666170117121543.

9. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research. Li J, Li YX, Li YY. Biomed Res Int. 2016;2016:4241293. doi: 10.1155/2016/4241293. Epub 2016 Aug 11. Review.

10. A novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypes. Wu S, Li J, Cao M, Yang J, Li YX, Li YY. BMC Syst Biol. 2016 Aug 26;10 Suppl 3:71. doi: 10.1186/s12918-016-0315-y.

11. Hyperlipidemia-associated gene variations and expression patterns revealed by whole-genome and transcriptome sequencing of rabbit models. Wang Z, Zhang J, Li H, Li J, Niimi M, Ding G, Chen H, Xu J, Zhang H, Xu Z, et al., Chen YE, Li Y.

    Sci Rep. 2016 Jun 1;6:26942. doi: 10.1038/srep26942.

12. Integrated analysis of transcriptome in cancer patient-derived xenografts. Li H, Zhu Y, Tang X, Li J, Li Y, Zhong Z, Ding G, Li Y. PLoS One. 2015 May 7;10(5):e0124780. doi: 10.1371/journal.pone.0124780. eCollection 2015.

13. Evidence for widespread exonic small RNAs in the glaucophyte alga Cyanophora paradoxa. Gross J, Wajid S, Price DC, Zelzion E, Li J, Chan CX, Bhattacharya D. PLoS One. 2013 Jul 3;8(7):e67669. doi: 10.1371/journal.pone.0067669. Print 2013.

会议文章

1. Prediction of human lncRNAs based on integrated information entropy features. Li J, Li H, Zhang L, Xu Q, Ping Y, Jing X, Jiang W, Liu B, Wang Y. ICIC 2019 : International Conference On Intelligent Computing, Nanchang, China, 2019.8

2. Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network. Li J, Ping Y, Li H, Xu Q, Wang L, Liu Y, Liu B, Wang Y. IDMB 2019: International Conference on Data Science in Medicine and Bioinformatics, 2019.6

3. DeGSM: memory scalable construction of large scale de Bruijn graph. Hongzhe Guo H, Fu Y, Gao Y, Li J, Wang Y, Liu B. The 17th Asia Pacific Bioinformatics Conference, 2019.1

4. DeepDNA: a hybrid convolutional and recurrent neural network for compressing human mitochondrial genomes. Wang R, Bai Y, Chu Y, Wang Z, Wang Y, Sun M, Li J, Zang T, Wang Y. BIBM 2018: International Conference on Bioinformatics & Biomedicine, 2018.12

5. Integrated entropy-based approach for analyzing exons and introns in DNA sequences. Li J, Zhang L, Li H, Ping Y, Xu Q, Wang R, Tan R, Wang Z, Liu B, Wang Y. IDMB 2018: International Conference on Data Science in Medicine and Bioinformatics, 2018.6

6. Integrated gene co-expression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypes. Wu S, Li J, Cao M, Yang J, Li YX, Li YY. ICIBM 2015: International Conference on Intelligent Biology and Medicine，Indianapolis，US，2015.11.