Key Personnel
- Pengyuan Liu, PhD Statistical Genetics, Genomics, and Bioinformatics
Dr. Pengyuan Liu has more than 20 years of experience in Biostatistics and Bioinformatics data analysis. His current interest is in omics data analysis.
- Yong Liu, PhD Molecular Biology, Genomics, and Bioinformatics
Dr. Yong Liu has a PhD in Genetics and an MS in Bioinformatics. His current research focuses on omics data analysis and human SNP annotation.
- Qiongzi (Joan) Qiu, PhD Computational Biology
Dr. Qiongzi Qiu has a PhD in Bioinformatics. Her current research focuses on single-cell, single-cell multiome, and spatial transcriptomics data analysis.
- Shima Sadri, PhD Metabolism and Mathematical Modeling
Dr. Shima Sadri has a PhD in Biomedical Engineering. Her current research focuses on single-cell metabolomic analysis in different cell types.
- Jing Huang, MS Bioinformatics
Jing has an MS in Bioinformatics. Her current research focuses on the omics data process with the standard pipeline.
- Vinod Kumar, PhD Bioinformatics
Dr. Vinod Kumar has a PhD in Bioinformatics. His work includes NGS data analysis, Whole genome data analysis, and machine learning. His current research focuses on Single-cell Multiome and spatial transcriptomics data analysis.
Ongoing types of bioinformatics data analysis
DNA:
SNP genomic annotation
Whole Genome Sequencing (WGS)
Reduced Representation Bisulfite Sequencing (RRBS)
Assay for Transposase-Accessible Chromatin with sequencing (ATAC-Seq)
Cleavage Under Targets and Tagmentation (CUT&Tag)
Genome-wide chromatin conformation maps (HiC, Micro-C)
RNA:
Whole transcriptome sequencing (lncRNA-seq or total RNA-seq): Ribosome RNA (rRNA) depletion-based RNA-seq
mRNA-seq: poly (A) dependent RNA-seq
SMART-seq: total RNA-seq with low or very low input
Small RNA sequencing
Single-cell:
scRNA-seq (snRNA-seq)
Multiome (scRNA-seq+scATAC-seq)
Spatial transcriptome