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Xiaojiang Xu

Tulane University, National Institute of Environmental Health Sciences

ORCID iD 0000-0001-5758-6581

About

After I got my Ph.D. in 2005, my research interest focused on analyzing and modeling different kinds of ‘Omics data, including microarray data. Since 2007, my research interest was switched to build pipelines and develop algorithms to analyze and mine different kinds of Next Generation Sequence (NGS) data, including RNA-seq, ChIP-seq, ATAC-seq, WGS-seq, WES-seq, RIP-seq, etc.

From 2016, I have led a team in National Institutes of Environmental Health Sciences, NIH, USA, to build pipeline for analysis of extra high-throughput single-cell sequencing data, including scRNA-seq, single cell TCR-seq, scATAC-Seq, Single Cell Multiome ATAC and RNA-Seq, Total-seq and Spatial Transcriptomes data. scRNA-seq can reveal the inherent property of a single cell based on its transcriptome and address questions that are otherwise difficult to resolve from bulk samples. The technique is commonly used to determine population diversity, trace cell lineages, classify cell types, or identify rare cells. Its key feature is that the heterogeneity of cells (even of the same type) is maintained, unlike in bulk RNA-seq. I have more than 50 peer-reviewed papers published.

I joined Tulane University School of Medicine as Associate Professor in September 2022. Our Bioinformatics lab focuses on the management and analyses of large genomic datasets, such as those derived from Next Generation Sequencing platforms. These platforms generate a variety of genomic data from whole genome sequences to RNA- seq, Ribo-seq, ChIP-seq, miRNA-seq, single cell sequencing and many others. Standardized quality control and assurance pipelines have been developed and a robust data management system is in place to support these data. We have 2 high preference computer servers; each of them has more than 20 CPU, 128G memory and GPU. Our lab uses a lot of open-source tools, e.g R and maintain some commercial tools or software, such as IPA etc.

Employment

  • Tulane University Associate professor
    2022 - Present
  • National Institute of Environmental Health Sciences Senior Bioinformatics scientist
    2012 - 2022

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (68)