With your data provided, particular molecules such as gene, transcript, exon, intron, lncRNA, surface proteins, SNP, INDEL, splicing pattern, etc., could be quantified. 

GO/KEGG/customized over-representative analysis, gene set enrichment analysis, any molecular network based analysis, etc

We do RNA-seq, single cell RNA-seq, whole exome seq, whole genome seq, metagenomics, CHIP-seq, CLIP-seq, Hi-C, Methyl-seq data analysis. We work with you one on one to tackle your needs, such as differential molecule expression, co-expressed, clustering, peak calling, variants, variant effects predicted, etc

Such as gene id conversion, GEO data submission, proteomics analysis, mining customized data from excel sheet or/and public database, etc

Data platform such as Shiny app to visualized your large dataset online, the data could be gene expression, mutation, GWAS, fusion gene prediction, etc. 

Based on genome, proteomics, imaging data, we utilize machine learning and deep learning algorithms to do classification and prediction, such as disease stage prediction, molecular correlation score, imaging classification, etc.

With our understanding of science, we will design personalized dynamic website which includes PI introduction, lab members introduction, publication list, gallery, project list, contact info, etc. The domain and hosting server are also included.