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Omicsoft is the leading provider of Next Generation Sequencing, Cancer Genomics, Immunology, and Bioinformatics solutions for Next Generation Sequencing Data and Gene Expression Analysis.

Bioinformatics Expertise

Expertise Bioinformatics, in the fields of Cancer Genomics, Immunology, and Next Generation Sequencing is integral to Omicsoft Corporations' success.

Cancer Genomics, Immunology, And Next Generation Sequencing Expertise


Jack Liu

Dr. Jack Liu is President and co-founder of Omicsoft. He received his Ph.D. in Bioinformatics at North Carolina State University. He completed postdoctoral training at National Institute of Statistical Science, working on data mining methods for large genomic data. and then spent three years at GlaxoSmithKline as a statistical consultant, working closely with different research departments on experimental design, data analysis and software development.

 At Omicsoft, Jack Liu has led research and development  including all the company’s flagship products: Array Suite, OSA2/OSA4, FusionMap, Omicsoft Genome Browser, OncoLand and ImmunoLand. Dr. Liu has over 20 scientific publications to date with over 4000 citations.

Next Generation Sequencing

Gary Ge
Vice President of Product Management

Gary Ge obtained a B.S. in life sciences from Fudan University, M.S. in Statistics and Ph.D. in Computational Biology and Bioinformatics from University of Southern California. In his last position, he was a computational biologist at Amgen.He has extensive experience analyzing microarray and next-generation sequencing data from whole-genome, exome and RNA-Seq experiments.

Gary has led the bioinformatics support, research and development team at Omicsoft, since 2013.  This includes support of OncoLand, ImmunoLand, and Array Suite products and services. He has led the effort creating various NGS analysis pipelines, as well as developing FusionMap, a widely used fusion gene detection algorithm to detect fusion genes at both transcript and genomic levels. He frequently collaborates with clients in novel biomarker identification and drug target verification, applications of NGS to clinical research, and characterizing biologic-producing cell lines.


Jason Lu
Vice President of Analytics

Jason Lu obtained his Ph.D. in Bioinformatics from NCSU, and has worked in the field of genomics and bioinformatics for more than ten years. He has his postdoc training at Duke University working on SAGE data analysis for the NCI CGAP cancer genomics project. In his last position, he worked as a bioinformatics scientist at National Institute of Health (NIH), studying statistical methods for Affymetrix and Next Generation Sequencing data.

Jason leads the OncoLand data service team, working primarily on next-generation sequencing data from the TCGA (The Cancer Genome Atlas) project, and other large-scale cancer genomics projects,  using Omicsoft's advanced software tools. In his position at Omicsoft, he leads the team that regularly re-processes thousands of RNA-Seq samples through its pipeline for incorporation into OncoLand, as well as incorporating many other data types into the database for access by its users.  




John Hu
Chief Technology Officer

John Hu obtained his Ph.D. in Bioinformatics from NCSU, and has worked in the field of genomics and bioinformatics since 2001. John has extensive experience in the fields of microarrays, proteomics, Next Generation Sequencing, and other high-throughput data analysis.   John’s research interests include multi-platform high-throughput genomic data analysis algorithms; biomarker discovery, gene expression regulatory motifs identification and gene expression regulation networks.   John has authored and co-authored more than twenty publications in peer reviewed journals.

At Omicsoft Corporation, John leads the data curation and data analysis teams for Omicsoft's data services.  He currently leads the development efforts on disease-specifics "Lands", including ImmunoLand and MetabolicLand.  His teams has processed over 20,000 samples for ImmunoLand, including thousands of RNA-Seq experiments, from GEO, ArrayExpress, and the Sequence Read Archive, and these numbers will grow significantly in the coming months and years.