ChIP-Seq
Service Description
ChIP-Seq (chromatin immunoprecipitation sequencing) allows for genome-wide mapping of DNA binding proteins and histone modifications. It is primarily used to determine how proteins influence the mechanisms that cause phenotypic appearance. The advantage of ChIP-Seq over other assays is that ChIP-Seq does not require prior knowledge of the epigenome.
Submission
For this service, researchers are responsible for submitting properly fragmented and immunoprecipitated DNA for library preparation to be completed. ChIP-Seq can be run on our Illumina NovaSeq or MiSeq.
Access our Interactive Submission Guidelines and get the exact guidance you need to prepare, label, and deliver your samples.
If you can’t find the information you’re looking for, please contact us at nextgen-seq@biotech.wisc.edu
Illumina ChIP Library Prep Pricing
Effective 7/8/24
* For exact cost, please inquire for a quote. |
Prices are subject to change without notice. Please email nextgen-seq@biotech.wisc.edu to request a quote. In the absence of a valid quote, prices from our current price books will be applied at the time of the service request. Prices may differ from those listed on this page. |
NovaSeq X Plus Pricing
Effective 7/8/24
* M=million. This is targeted number of reads. Actual read counts may vary ±20% from targeted amounts. |
** B=billion. Read specifications based on Illumina PhiX control library. Output may vary based on library type. |
Prices are subject to change without notice. Please email nextgen-seq@biotech.wisc.edu to request a quote. In the absence of a valid quote, prices from our current price books will be applied at the time of the service request. Prices may differ from those listed on this page. |
Unless otherwise specified, all data and reagents distributed by the University of Wisconsin Biotechnology Center DNA Sequencing Facility are intended for research purposes only. They are not intended nor certified for diagnostic or clinical use. Clinical services are provided through our collaboration with the UW Collaborative Genomics Core.