10X spatial products bioinformatics support

● Leading role on MPRAbase - a web SQL database (http://www.mprabase.com) which serves ascentralized user-friendly repository to existing MPRA data for independent analysis and rapiddissemination to the community - I designed and developed SQL backend systems and collaboratedwith frontend web developers.● Developing novel algorithms and tools of interpretation on massively parallel jumping assaythat decodes high resolution sequence based Alu retro-transposition activity.● Computational collaboration role in Impact of Genomic Variation on Function and ENCODE (TheEncyclopedia of DNA Elements) project.● Integration analysis and development on genomics study and database of developmental Mechanismsof Idiopathic Scoliosis (https://www.spinesources.org/)● Successfully integrated various NGS analyses, including CHIP-seq, single-cell RNA-seq, bulkRNA-seq, and ATAC-seq, across multiple collaborative projects.

● Part of the design and developing team of MPRAflow - a Nextflow-based computational pipeline for MPRA.● Selected candidate sequences for functional analyses and carried out computational analysis of results from MPRA and other genomic assays.● Linked genomic and functional approaches in order to understand parasite-induced limb deformities in frogs. I collected live field specimens for DNA and RNA extraction for sequencing using Pacbio and other sequencing platforms. I analyzed and assembled the parasitic genome infecting frogs. In a collaborative team, we then recapitulated the infection using a surgical protein bead implantation.

● NGS analysis of sequenced whole tumor surgical samples from cancer patients and cancer paneldevelopment. This included whole-genome sequencing (WGS), whole-exome sequencing(WES), and cancer panels.● Performed pre-analytic, analytic and post-analytic processes, successfully minimizing errors.

• Worked on 2 projects on Melanoma and Psoriasis• Differential expressed genes identification on microarry data with R scripting• Disease associated gene regulation network construction• PageRank analysis on disease candidates gene selection

• Bioinformatics study on whole genome enhancer prediction• Chip-Seq, RNA-Seq and Hi-C data processing on human, mouse and zebrafish samples

• Differential co-expressed genes identification and R scripting• Whole genome screening and microarray data analysis