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Xin Chen

Lecturer

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Email: xinchenuga@gmail.com

Research Interests
Next-generation sequencing data analysis and big data analysis in biofuel: I am interested in design of combinatorial algorithms and software tools to handle the next-generation sequencing data. I have done extensive RNA-seq data analysis in both microbes and plants.

Computational study of plant cell-wall synthesis genes and co-expression modules: I am interested in developing computational prediction and analysis tools for inference of genes involved in cell-wall synthesis and remodeling in plants, cis regulatory elements of these genes and their relevant biochemical pathways. These tools include bi-clustering analyses of gene expression data, comparative genomic analysis, and co-evolutionary analyses of cell-wall synthesis genes.

Combinatorial algorithm design and development of bioinformatics software & web server: I am interested in design of combinatorial algorithms based on graph models for bioinformatics problems: gene expression data bi-clustering, regulatory motif analysis, orthology relationship identification, and microbial genome organization elucidation. I am also interested in implementing these algorithms into interactive web servers and intuitive standalone cross-platform software (C/C++).

Education
• 2004.09 -- 2008.07, B.S. in Computer science and technology, Jilin University, China

• 2008.09 -- 2011.07, M.Sc. in Bioinformatics, Jilin University, China

• 2011.09 -- 2016.06, Ph.D. in Bioinformatics, Jilin University, China
Publications
• Xin Chen, et al; Genome-Scale Identification of Cell-Wall Related Genes in Switchgrass through Comparative Genomics and Computational Analyses of Transcriptomic Data, BioEnergy Research, DOI: 10.1007/s12155-015-9674-2 2015.

• Xin Chen, et al; DOOR 2.0: presenting operons and their functions through dynamic and integrated views. Nucleic Acids Research, 42 D1 D654-D659 2014 (co-first author).

• Xin Chen, et al; Understanding the commonalities and differences in genomic organizations across closely related bacteria from an energy perspective. Science China Life Sciences, 57 11 1121-1130 2014 (co-first author).

Center for Applied Mathematics, Tianjin University, No.92 Weijin Road, Tianjin 300072, P. R. China