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Determining how proteins interact with DNA to regulate gene expression is essential for fully understanding many biological processes and for disease research.
ChIP-Seq technology can simplify your process for identifying and characterizing protein–DNA interactions.
ChIP (the capture specific DNA-bound proteins) followed by next-generation DNA sequencing allows you to map where proteins bind across the genome.
ChIP-Seq combines the quantification advantage afforded by high numbers of reads with the single-base resolution of sequencing.
Microarrays are restricted to the number of queried sequences and to the sequence content of the probes on a given array.
Direct sequencing of enriched fragments is more effective in determining protein binding sites in an unbiased, hypothesis-free manner.
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Comparison of ChIP Detection Platforms |
Optimized, end-to-end system for genome-wide ChIP analysis
Includes ChIP preparation reagents and library generation reagents for 12 samples.
Significantly simplified sample prep:
Antibody quality has a significant impact on results. Order ChIP qualified antibodies for your protein of interest or qualify the antibodies yourself. When designing your experiment, consider important parameters such as the target number of tags to be sequenced, sensitivity, controls, and multiplexing. Learn More: |
Learn More:
Learn more:
User documentation for the 5500 Series Genetic Analysis Systems can be found on the SOLiD Community. Access is through the 5500 Series User Hub. Access is limited to 5500 Series Genetic Analysis Systems users who are registered on the solid community and have been authenticated through the process of requesting permission to join the 5500 Series User Hub.
The tools you need for each step in the ChIP-Seq data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Format data and call peaks |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert SRF for publishing | ||
*** Need XSQ --> csfasta/qual converter |
Learn more
Antibody quality has a significant impact on results. Order ChIP qualified antibodies for your protein of interest or qualify the antibodies yourself. When designing your experiment, consider important parameters such as the target number of tags to be sequenced, sensitivity, controls, and multiplexing. Learn More: |
Learn More:
Learn more:
User documentation for the 5500 Series Genetic Analysis Systems can be found on the SOLiD Community. Access is through the 5500 Series User Hub. Access is limited to 5500 Series Genetic Analysis Systems users who are registered on the solid community and have been authenticated through the process of requesting permission to join the 5500 Series User Hub.
The tools you need for each step in the ChIP-Seq data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Format data and call peaks |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert SRF for publishing | ||
*** Need XSQ --> csfasta/qual converter |
Learn more
Antibody quality has a significant impact on results. Order ChIP qualified antibodies for your protein of interest or qualify the antibodies yourself. When designing your experiment, consider important parameters such as the target number of tags to be sequenced, sensitivity, controls, and multiplexing. Learn More: |
Learn More:
Learn more:
User documentation for the 5500 Series Genetic Analysis Systems can be found on the SOLiD Community. Access is through the 5500 Series User Hub. Access is limited to 5500 Series Genetic Analysis Systems users who are registered on the solid community and have been authenticated through the process of requesting permission to join the 5500 Series User Hub.
The tools you need for each step in the ChIP-Seq data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Format data and call peaks |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert SRF for publishing | ||
*** Need XSQ --> csfasta/qual converter |
Learn more
Antibody quality has a significant impact on results. Order ChIP qualified antibodies for your protein of interest or qualify the antibodies yourself. When designing your experiment, consider important parameters such as the target number of tags to be sequenced, sensitivity, controls, and multiplexing. Learn More: |
Learn More:
Learn more:
User documentation for the 5500 Series Genetic Analysis Systems can be found on the SOLiD Community. Access is through the 5500 Series User Hub. Access is limited to 5500 Series Genetic Analysis Systems users who are registered on the solid community and have been authenticated through the process of requesting permission to join the 5500 Series User Hub.
The tools you need for each step in the ChIP-Seq data analysis workflow:
Data Analysis Step | Applied Biosystems Software | 3rd-Party Software*** |
---|---|---|
1. Align reads to reference in color space |
| |
2. Generate quality metrics |
| |
3. Generate sequencing and alignment statistics |
| |
4. Format data and call peaks |
| |
5. Translate color space to base space | ||
6. Visualize in context of annotation |
| |
7. Convert SRF for publishing | ||
*** Need XSQ --> csfasta/qual converter |
Learn more