Data Analysis Services - ATAC-seq, Ribo-seq, ChIP-seq & more

  • Get Quote
  • Ribo-seq
  • ATAC Seq or Cut&Tag Seq
  • ChIP-seq
  • Data Submission

Arraystar bioinformatics team has been providing top-tier bioinformatic analyses as part of our comprehensive Services for over a decade. Now, we are expanding our expertise to offer specialized analysis services for customers who need data analysis only. If you're unsure how to process your raw sequencing data or lack the necessary setup/resources, we're here to help. Let us handle the complexities of bioinformatic analysis and unlock the full potential of your data, so you can focus on your lab research.

Our analysis services cover the sequencing types below:

Service NameRaw Data SourcePrice
Ribosome Profiling Data Analysis Ribo-Sequencing (Illumina SR)
Integrative Analysis of Ribo-Seq and RNA-Seq Ribo-Seq (lllumina SR) & RNA Seq (lllumina PE)
Cut & Tag Data Analysis CUT&Tag Sequencing (Illumina PE)
ATAC-Seq Data Analysis ATAC-Sequencing (Illumina PE)
ChIP-Seq Data Analysis ChIP-Sequencing (Illumina PE)

Ribo-sequencing profiles ribosome-loaded mRNAs undergoing active translation. Our Ribo-sequencing bioinformatics service provides rich annotations, comprehensive data analyses, and publication-ready graphics. 

We also provide Integrative Analysis of Ribo-seq and RNA-seq, which combines transcriptional and translational profiling data to gain comprehensive insights of gene expression.
 

Ribosome Profiling Data Analysis

Open Reading Frame (ORF) Analysis

ORF_5

Table 1. ORF Analysis Results.

Codon Coverage Analysis

Codon_

Table 2. Codon coverage analysis results. Top: RPF coverage on each codon in the gene and corresponding proportions. Bottom: RPF coverage on each codon and corresponding proportions.


Integrative Analysis of Ribo-Seq and RNA-Seq

Translational Efficiency (TE) Analysis

TE_8

Table 3. Calculation results of TE Transcripts.

Volcano_8

Fig 1. The volcano plot of differential TE transcripts.

CLUSTER_4

Fig 2. The CPM clustering plot of differential TE transcripts.

 

Assay for Transposase-Accessible Chromatin (ATAC) Sequencing identifies open chromatin regions, revealing where regulatory proteins bind to the genome and transcriptionally active sites. 

Cleavage Under Targets and Tagmentation (CUT&Tag) Sequencing maps protein-DNA interactions and identifies their binding sites, especially for histone modifications, through antibody targeting and proteinA-Tn5 fusion cleavage/tagmentation. 

Our ATAC or Cut&Tag sequencing bioinformatics service provides rich annotations, comprehensive data analyses, and publication-ready graphics.


ATAC or Cut&Tag Peak Distribution

ATAC_CutTag_peak_distribution

Fig 1. ATAC or Cut&tag peak distribution across different genomic regions. 


Motif Analysis

ATAC_CutTag-motif

Fig 2. The DAR motif logo plot.


Data Visualization

ATAC_CutTag_visualization

Fig 3. ATAC-Seq or Cut&Tag signals are visualized in the IGV software.

Chromatin Immunoprecipitation sequencing (ChIP-sequencing) directly profiles DNA-protein interactions, such as transcription factors or histones, which are essential for understanding epigenetic mechanisms. Our ChIP-sequencing bioinformatics service provides rich annotations, comprehensive data analyses, and publication-ready graphics.
 

ChIP Peak Distribution

Peak_distribution-1Peak_distribution-2

Fig 1. ChIP-peak distribution: Upper: ChIP-peak distribution across five different genomic regions. Lower: Shows the distribution of TF binding profiles within -10kb to 10 kb from the TSS
 

Motif Analysis

Motif

Fig 2. The TFBS (transcription factor binding site) motif logo plot
 

Data Visualization

Visualization

Fig 3. ChIP-Seq signals of IP and input are visualized together in the IGV software.

 

 

After you request a quote online and sign up with us, please follow the instructions below to submit your raw data. We'll do all the analyses for you.

  1. Trimmed data files in FastQ format generated by Illumina sequencing platforms. Untrimmed raw FastQ data files must be provided with the 5' and 3' adapter sequencing information.
  2. It’s highly recommended to gzip-compress the FastQ files (e.g. using 7-zip for Windows or gzip for Linux) to reduce upload time, save storage space, and ensure data integrity.
  3. Use concise sample names to construct the file names, e.g. "treated_1.fastq.gz" for "treated" sample #1 fastq data compressed in gz format. For paired-end sequencing, each sample has two files R1 and R2, e.g. "treated_1. R1.fastq.gz" and "treated_1.R2.fastq.gz".
  4. Complete the Project form.
  5. Upload the all the data and project form into the server link we will provide you.