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Oxford Nanopore Technologies Long Read Sequencing System


Oxford Nanopore is a long-read sequencing technology that utilizes an ionic current through nanopores and measures the changes in current as biological molecules pass through the nanopore or near it. The information about the change in current can be used to identify that molecule. Currently YCGA supports one minION device and projects are typically customized to investigator’s specific needs, please contact to discuss beginning a Nanopore project.


  • Long/Ultra-long read DNA Sequencing: Due to the utilization of nanopores, read length is limited by the integrity of the DNA sample, with reads reported as large as 2.3Mb. Two library protocols exist for this application, one utilizes ligase to anneal the nanopore adapters resulting in libraries suitable for long-reads and the second adds adaptors by a transposase. This second method is utilized for the longest possible read lengths.
  • Epigenetics: Amplification is not a requirement for nanopore library preparation, this facilitates both long-read sequencing and preserves epigenetic features.
  • Targeted Sequencing: These protocols use the CRISPR/Cas9 system for PCR-free enrichment of highly repetitive or long gene targets. This offers investigators the ability to focus their long-read sequencing without compromises associated with sequencing-by-synthesis.
  • Full Length cDNA & Direct RNA Sequencing: Full length cDNA sequencing is recommended by Nanopore for those investigators who are interested in splice variants and fusion transcript analysis, with only a reverse-transcriptase step the material is minimally modified. For investigators that wish to directly sequence RNA without RT or PCR bias, RNA can be sequenced directly to preserve qualities such as modified bases.

Sample Submission

Please contact Guilin Wang or Evelyn Ng for Nanopore service request.

Service Fees

Rates as of 7/1/2023
Services Yale Fee Non-Yale* Fee
Nanopore DNA/RNA Library Prep $584 $799
Nanopore Sequencing (one flow Cell) $1756 $2346