Xingjun Liu

Novel drug target/biomarker Identification and verification by integrative analysis of large-scale multi-omics data. Support Non-Clinical Safety and Pre-Clinical and Translational Study (PSTS) by developing an auto-workflow for target efficacy and safety evaluation. Developed SQL database , R package and shiny app for data query and visualization. Developed meta-analysis tool for differential expression analysis of targeted genes from GEO data.

• Led in developing an innovative brain single-cell atlas integrating RNA-Seq, ATAC-Seq, spatial transcriptomics to support Neurosciences projects (Neuropsychiatric and Neurodegenerative diseases). • Explore strategy of building GWAS and post-GWAS analysis pipelines for large-scale biobank data processing: variant calling, quality control (QC), imputation, fine-mapping and colocalization, mendelian randomization, variant annotation and visualization, etc. • Directed the utilization of genetic data of large-scale biobank (UKB, Genomic England) and multi-omics data (genomics, proteomics, metabolomics, and EHR data) to support clinical study.

• Public metadata search, download, curation and processing. Data types include Microarray, RNA-Seq, DNA methylation, miRNA and single-cell RNA-seq data. Datasets such as GEO, Array Express (EBI), CCLE, TCGA, NIH-LINCS Consortium, etc. • Generated our Disease Land data covering autoimmune diseases, metabolic diseases, cardiovascular diseases, infectious diseases and rare genetic diseases • Cancer biomarkers search and validation. • Developed an online data curation tool (Array Curator) for data curation and processing. • DNA methylation and Single-cell RNA-seq data analysis. • Pipeline development and data processing.

• Pre-clinical and clinical phase I-II study of Erlotinib treatment of NSCLC patients including: experimental design, patient recruitment, genetic analysis, data collection and statistical analysis, etc. • Genetic variation analysis of NSCLC patient samples, high throughput DNA sequencing and gene expression analysis. • BCR profiling in fetal B lymphopoiesis and B cell lymphocytic leukemia by single-cell RNA-Seq.

Independent research project by using transgenic zebrafish for liver cancer study.