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Long-read genomic data from ONT

There is pilot long-read ONT data available in the RE. This page includes information on the sequencing protocol, the analytical pipeline and a summary of the data within the research environment.

Genomics England, in partnership with the Sanger Institute, has been assessing the advantages of long-reads sequencing technologies over Illumina short-reads whole genome sequencing. The primary objective is to identify structural variants (SVs), repeats expansions and contractions, and epigenetic modifications that cannot be accurately detected with short-read sequencing.

The dataset consists of human genomes from a subset of 100,000 Genomes Project participants assembled with ultra-long reads. The genomic data deposited in the Research Environment were generated with the Oxford Nanopore Technologies (ONT) Promethion (Beta) and comprise the full output of the long-reads analytical pipeline 1.0.

Sequencing protocol

Germline DNA from a subset of 100,000 Genome Project participants was depleted of low molecular weight DNA (<10 Kb) before library preparation. Libraries for ONT sequencing were prepared with the protocol indicated in the library_prep field of the ‘LRS_sample’ table in LabKey. Data were acquired with the PromethION Beta for 42-60hrs in high-accuracy mode. Full details of the protocol can be found here:

v1_protocol_ONT_LSK109.pdf

Bioinformatics pipeline

PromethION SV calling pipeline GRCh38.docx

File structure

  • ONT samples

    The ONT samples are structured as follows:

    run_id/sequencing_output_id/  
      aligned_minimap/  
      fast5_fail/  
      fast5_pass/  
      fastq_fail/  
      fastq_pass/
    
  • Files:

    • Fast5: These files contain the raw output from the ONT sequencer in a HDF5 format. Each file contains the data for up to 4000 sequences.
    • Fastq: This is the output of the ONT basecaller Guppy, containing the sequence and base-quality scores of each read.
    • Bam: The BAM file contains all pass filter reads and information on their alignment to GRCh38.

Last update: November 27, 2023