Robust NGS data analysis

  • Fast
  • Accurate
  • Insightful
  • Surf in the age of data deluge

Make sense of your data

  • Genome
  • Epigenome
  • Transcriptome
  • Do not look back and feel alone
  • We accompany you in your roadtrip

Cloud computing

  • Powered by Amazon AWS
  • reproduciable
  • Safe and Robust
  • Accelerate discoveries
  • you can have trust in us

public data mining

  • GEO
  • ENA
  • TCGA
  • CCLE
  • GTEx
  • ENCODE
  • to generate hypothesis

RNA sequencing

Get the most from your bulk and single-cell RNAseq data! Differential gene expression, pathway analysis, co-expression network and more!

ChIP sequencing

Transcription factors or histone modifcations, we have you covered.

ATAC sequencing

Find your favorite transription factor’s footprint and decode the transcriptional regulation network!

Whole-genome/exome sequencing

Take full advantage of your whole genome/exome sequencing data, get single nucleotide variants, copy number variation, structural variants and more!

Methylation analysis

No matter it is EPIC methylation array, RRBS or Whole-genome BSeq, we have you covered!

Integrative analysis

If you have data from transcriptome, epigenome and genome, integrative analysis will give you more insights.

From our blog

We strive to share knowledge in analzying NGS data and stay the current of bioinformatics

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public data mining resources

By Tidyomics Team on December 25, 2018

With the advancing of sequencing technologies, more and more public data are available for you to mine. One does not have to produce his own data, rather, mining public data sets can help to generate hypothesis and even publish decent papers if done properly. In this blog post, I am going to list some of the public data resources one can take advantage of. Gene Expression Omnibus Gene Expression Omnibus (GEO) is a NCBI supported public functional genomics data repository.

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The devil 0 and 1 coordinate systems in genomics

By Tidyomics team on December 9, 2018

We need to be aware that there are two genomics coordinate systems: 1 based and 0 based. There is really no mystery between these two. You EITHER count start at 0 OR at 1. However, this can make confusions when analyzing genomic data and one may make mistakes if not keep it in mind. The TWO systems See the figure below to understand the two systems. credit due to Vince Buffalo from his book Bioinformatics data skills.

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