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.
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
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.
How It Works
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
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
- 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.
