About Us

We deeply analyze genomics data using our experienced bioinformatics skills.

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DeepGenetics as a service provider

DeepGenetics is a genomics and bioinformatics company that has been delivering expert solutions to our clients. We offer an impressive portfolio of professional services that are completely customizable for your research, development, clinical trial and any other related business. 

We cover a variety NGS applications, including RNA-Seq, microRNA-Seq, Whole Exome Sequencing (WES), Whole Genome Sequencing (WGS), Bisulfite Sequencing (WGBS, RRBS, oxBS), ATAC-Seq, Ribosome Profiling,  ChIP-Seq , Single cell Sequencing, and Long-read Sequencing.
DeepGenetics exists to solve the critical issues facing our clients, both large and small. 

Our service guarantees fast turnaround time, high quality and unlimited customer support.  

Selected Projects DeepGenetics have completed

  • Differential gene expression analysis of RNA-Seq between normal and gene knock-out (knock-in, over-expression) samples
  • Differential gene expression analysis between normal and tumor tissues using microRNA-Seq and mRNA-Seq datasets from TCGA database
  • Variant calling of Whole Exome Sequencing (WES) datasets from the trio data of a novel parenchymal lung disease (LD)
  • ATAC-Seq data analysis for different cell lines, tissues from different species
  • Ribosomal profiling (Ribo-Seq and RNA-Seq) data analysis to identify translation efficiency (TE) significantly changed genes between normal and gene knock-out (knock-in, over-expression) samples 
  • PacBio sequencing data analysis of highly shuffled DNA libraries
  • NGS barcode data analysis of highly shuffled DNA libraries
  • PacBio Isoform sequencing data analysis for different species
  • Time-course RNA-Seq data analysis of model organisms
  • Bisulfite sequencing data analysis for different species
  • RNA-Seq differential expression analysis between African American and Caucasian American prostate cancer patients
  • Large-scale sequence alignment, phylogenetics and evolutionary dynamics analysis of influenza virus
  • ..
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