ONT Open Datasets

The Oxford Nanopore Technologies Open Data (ont-open-data) provides reference sequencing data from ONT sequencing devices.

The data are freely available to all and can be used for:

1. Exploration of the characteristics of nanopore sequence data,
2. Assessment and reproduction of performance benchmarks,
3. Example datasets for analysis on EPI2ME, Oxford Nanopore Technologies’ cloud compute infrastructure,
4. Development of tools and methods.

The data deposited showcases DNA sequences from a representative subset of sequencing chemistries. The datasets correspond to publicly-available reference samples (e.g. GM24385 as reference human). Raw data are provided with metadata and scripts to describe sample and data provenance.

A list of all dataset release blog post can be found here. Below we list some current and historic highlights.

Latest datasets and analyses

The list below represents the most recent dataset or analysis of its class. As new datasets, basecallers, and analysis methods are developed this list will change.

• Q20+ Simple Data Release Sequencing libraries prepared using our Kit 12 sequencing chemistry and DNA sequences produced using R10.4 flowcells (FLO-PRO112).
• CliveOME Ultra-long read sequencing from a sample provide by Oxford Nanopore Technologies’ Chief Technology Officer Clive Brown.
• May 2021 Rebasecalling of the November 2020 data release with Guppy v5.0.6
• Phased CpG modification calling with Remora in matched bisulfite and nanopore sequencing.

We strive to keep all analyses current, though some may fall behind the more current sequencing runs and basecalling results.

Archived datasets

The following datasets remain available from the repository but should be considered deprecated.

• Cytosine modification in matched bisulfite and nanopore sequencing.
• Structural variation calling of the November 2020 release.
• Small variant calling of the September 2020 release.
• Our November 2020 GM24385 Release contains data from two specialised long-read sample preparations. With these preps. >200 Gbases of data can be obtained with read N50 lengths in excess of 100 kbases.
• Bonito v0.3.0 rebasecalling of September 2020 data.
• Our September 2020 GM24385 Release comprises data from both R9.4.1 and R10.3 sequencing chemistries using the Circulomics’ Short Read Eliminator XL protocol.

Data access

All data is available under from the Registry of Open Data on AWS. See the ONT Open Data Tutorials page for more information.