General

Name: Mao Chai

Date of Birth:1992/11

Gender: Male

Research Direction: Bioinformatics

Domicile: Zhengzhou city Henan Province China

Address: No.157, Science Avenue, Zhengzhou City, Henan Province

Organization: Center for Bioinformatics and Molecular Design (CBM), Institute of Cotton Research, Chinese Academy of Agricultural Sciences

Github: https://github.com/chaimol/

Chinese Blog: https://www.jianshu.com/u/64dfb67befe7

ORCID: https://orcid.org/0000-0001-6502-2137

Education Background

Master

Crop genetics and breeding major, Agricultural college, Henan Agricultural University 2017.09-2020.06

Bachelor

Plant protection major, Plant protection college, Henan Agricultural University 2012.09-2016.09

Language

English

Mandarin

Computer Skills

Linux (centos7, ubuntu, Arch)/Windows

Task management system: bsub/LSF, qsub/PBS

Shell /R/Python

HTML5/CSS3/JavaScript

Bioinformatics Skills

WGS/WES

RNA-seq/ WGCNA

ChIP-seq/DAP-seq

BSA/BSR

Comparative genomics

Genome assembly/Genome annotation

Data Visualization (circos)

Nanopore Analysis

Pycaret (Python-based AI modeling tool)

Tidymodels (R-based AI modeling tools)

Research Publication

1. Chai, Guo, Shi, Li, Tang, & Zhang. (2019). Dissecting the Regulatory Network of Leaf Premature Senescence in Maize (Zea mays L.) Using Transcriptome Analysis of ZmELS5 Mutant. Genes, 10(11), 944. https://doi.org/10.3390/genes10110944

2. Li, N., Yang, T., Guo, Z., Wang, Q., Chai, M., Wu, M., Li, X., Li, W., Li, G., Tang, J., Tang, G., & Zhang, Z. (2020). Maize microRNA166 Inactivation Confers Plant Development and Abiotic Stress Resistance. International Journal of Molecular Sciences, 21(24), 9506. https://doi.org/10.3390/ijms21249506

3. Lu, Z., Yin, G., Chai, M., Sun, L., Wei, H., Chen, J., Yang, Y., Fu, X., & Li, S. (2022). Systematic analysis of CNGCs in cotton and the positive role of GhCNGC32 and GhCNGC35 in salt tolerance. BMC Genomics, 23(1), 560. https://doi.org/10.1186/s12864-022-08800-5

4. Zhang, Z., Chai, M., Yang, Z., Yang, Z., & Fan, L. (2022). GRAND: An Integrated Genome, Transcriptome Resources, and Gene Network Database for Gossypium. Frontiers in Plant Science, 13, 773107. https://doi.org/10.3389/fpls.2022.773107

5. Zhao, D., Zhang, Y., Lu, Y., Fan, L., Zhang, Z., Zheng, J., & Chai, M. (2022). Genome sequence and transcriptome of Sorbus pohuashanensis provide insights into population evolution and leaf sunburn response. Journal of Genetics and Genomics, 49(6), 547–558. https://doi.org/10.1016/j.jgg.2021.12.009

6. Lei Wang, Liqiang Fan, Zhenyong Zhao, Zhibin Zhang, Li Jiang, Mao Chai, Changyan Tian, The Capparis spinosa var. herbacea genome provides the first genomic instrument for a diversity and evolution study of the Capparaceae family, GigaScience, Volume 11, 2022, giac106, https://doi.org/10.1093/gigascience/giac106

7.Qanmber G, You Q, Yang Z, Fan L, Zhang Z, Chai M, et al. Transcriptional and translational landscape fine-tune genome annotation and explores translation control in cotton. Journal of Advanced Research. 2023; https://doi.org/10.1016/j.jare.2023.05.004.