Author

Zhe Ren

BGI Group (China)ORCID 0000-0002-9042-2383Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Andrew R. JonesiD· 1 shared Bo LiiD· 1 shared Da QiiD· 1 shared Geng LiuiD· 1 shared Guixue HouiD· 1 shared Haitao XiangiD· 1 shared Jianliang LuiD· 1 shared Le ZhangiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Andrew R. JonesORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

EPIP: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles

Weipeng Hu, Si Qiu, Youping Li, Xinxin Lin, Le Zhang, Haitao Xiang, Xing Han, Sitao Zhu, Lei Chen, Sha Li, Wenhui Li, Zhe Ren, Guixue Hou, Zhilong Lin, Jianliang Lu, , Leo J. Lee

EPIP predicts MHC-I epitope presentation by integrating mass spectrometry-derived motifs and tissue-specific RNA-seq data, outperforming existing methods in independent validation.

bioRxiv · Aug 24, 2020 · PreprintBioinformatics

Comparative Qualitative Phosphoproteomics Analysis Identifies Shared Phosphorylation Motifs and Associated Biological Processes in Flowering Plants

Shireen Al-Momani, Da Qi, Zhe Ren, Andrew R. Jones

The paper compares phosphoproteomics data from Arabidopsis and rice to identify shared phosphorylation motifs and biological processes, finding high conservation and species-specific differences.

Journal of Proteomics · Apr 11, 2018Peer-reviewedBioinformatics