Jialu Hu, PhD

Jialu Hu

Education:

PhD – Free University Berlin, 2014

BS – Xidian University, 2008

Research:

My work mainly focuses on the next generation sequencing (NGS) data analysis concerning about biological questions related with human diseases, such as cervical cancer and common variable immune deficiency (CVID). We do data integration, design mathematical model and  algorithm for different types data generated by illumina technology including whole genome expression, human methylation and MiSeq. The aim is to gain a better understanding of the regulatory mechanism of genes, methylation and microbial community at a global level, then ask the question how they respond to the pathogenic invader and cause a cascade of dysfunction in cellular and immune system.

Publications:

Jialu Hu, Birte Kehr, and Knut Reinert, NetCoffee: a fast and accurate global alignment approach to identify functionally conserved proteins in multiple networks, Bioinformatics (2014) 30 (4): 540-548, doi:10.1093/bioinformatics/btt715

Jialu Hu and Knut Reinert, LocalAli: an evolutionary-based local alignment approach to identify functionally conserved modules in multiple networks, Bioinformatics (2015) 31 (3): 363-372, doi:10.1093/bioinformatics/btu652

Jialu Hu, Lin Gao, and Guimin Qin, Evaluation of subgraph searching algorithms detecting network motif in biological networks, Frontiers of Computer Science in China (2009) 3(3):412-416

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