mail inquiry Inquiry

ATAC-seq Analysis

ATAC-seq Analysis Online Inquiry

As one of the providers for ATAC-seq data analysis, CD Genomics uses bioinformatics to help you study the openness of chromatin accurately and efficiently. We provide convenient and fast biological data analysis services for scientific researchers all over the world.

Introduction of ATAC-Seq Analysis

Assay for transposase-accessible chromatin with high throughput sequencing (ATAC-seq) is a preferred technical method used to study the openness of chromatin. The principle is to use the transposase Tn5 to easily bind to open chromatin, but Tn5 does not have the cutting ability. ATAC-seq can completely capture the sequence of the entire region, and then sequence the DNA sequence captured by the Tn5 enzyme.

The sequencing linker is inserted into the open region of chromatin through the highly active Tn5 transposase, and the sequencing data can be obtained by high-throughput sequencing. Bioinformatics can be used to infer the accessibility of chromatin regions, to obtain information on all active transcriptional regulatory sequences in the whole genome in this space-time, to analyze transcription factor binding information, nucleosome region information, and distribution of transcriptional regulatory elements. The ATAC-Seq method requires fewer cells and the procedure is simple. It can detect the open state of chromatin throughout the genome.

Unique Chromatin Landscape in hSSCs Revealed by ATAC-Seq.Fig 1. Unique Chromatin Landscape in hSSCs Revealed by ATAC-Seq. (Guo J, et al. 2017)

Application Field

Chromosomal structure research, Chromosome openness mapping, nucleosome region information, transcription factor binding site analysis, transcription regulatory element distribution.

Disease pathogenesis, pathogenesis of cancer and other diseases.

Potential biomarker prediction, clinical biomarkers, biomarker research.

Drug-related research, drug action mechanism, new drug development, drug resistance and sensitivity research.

Advantages of CD Genomics

Perfect analysis process, fast delivery and short cycle time

Rich and in-depth analysis content

Personalized analysis and chart making

Rich experience in bacterial genome analysis

CD Genomics Data Analysis Pipeline

CD Genomics ATAC-seq data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

CD Genomics has a complete, fast, efficient, sensitive and highly accurate ATAC-seq data analysis pipeline. We will provide you with reliable data analysis results.

Data preprocessing Data quality control
Data statistics
Remove adapter
Remove low quality reads
Map to reference genome Comparison rate
Unique comparison rate
Sequencing depth
Reads distribution statistics
Peak calling Analysis of nucleosome and transcription factor binding sites
Peak position on chromosome
Peak length distribution
The distribution of peak on each genetic element
Differential peak analysis Difference peak analysis
Difference peak gene annotation
GO enrichment analysis of related genes
KEGG pathway enrichment analysis of related genes

For ATAC-seq data analysis, if you have other omics sequencing data, such as RNA and WGBS sequencing data, we can provide you with multi-omics association analysis according to you data. In addition, if custom analysis service is needed, please contact our technical support for an evaluation. We will design an analysis plan for you based on your data. For more information, please click online inquiry.

Turnaround Time

ATAC-seq data analysis turnaround time - CD Genomics.

An approximately one to two weeks will be taken from obtaining the original data to reporting the result, but the specific analysis time is also related to the content of the analysis. If multi-group joint analysis is needed, a longer analysis cycle will be required.

CD Genomics has successfully conducted ATAC-seq data analysis on a variety of species, and samples can be tissue, cell or blood. Combined with rich project experience, strict data quality control and professional analysis process, we will provide you with the best data analysis services. Please contact us for more information and a detailed quote.

Reference

  1. Guo J, et al. Chromatin and single-cell RNA-seq profiling reveal dynamic signaling and metabolic transitions during human spermatogonial stem cell development[J]. Cell Stem Cell, 2017, 21(4): 533-546. e6.
* For Research Use Only. Not for use in diagnostic procedures.
return-top
Refresh to display the verification code
close
Online Inquiry