Raw Nanopore sequencing data of CD-pore-seq V1: TelN MinION 1

Read full text
Authors: Zicheng Yu
Cited by: 0

Abstract

=Raw Nanopore sequencing data of CD-pore-seq V1= ==Author==Zicheng Yu1, Zihao Chen1, Thomas C. Williams1,2, Craig J. Anderson1,3,4, Andrew P. Jackson1,*, Martin A.M. Reijns1,*, Martin S. Taylor1,*1 MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, UK.2 Child Life and Health, University of Edinburgh, UK.3 German Cancer Research Center, Heidelberg, Germany4 Department of Translational Oncology, German Cancer Research Center, Munich, Germany. * Correspondence should be addressed to andrew.jackson@ed.ac.uk, martin.reijns@ed.ac.uk and martin.taylor@ed.ac.uk ==Citation=='Generalised training for DNA modification detection by nanopore sequencing' ==Description==Nanopore sequencing data of libraries to train machine learning models to predict single DNA-embedded ribonucleotides.Ligation kit: LSK-114 (all except for ygDNA) or SQK-NBD114.96 (ygDNA)Flow-cell version: R10.4.1Sequencing device: MinION or PromethION (./TelN/PromethION only) ==TelN==* Sequencing the TelN library (high-complexity randomers surrounding single DNA-embedded ribonucleotides) on a MinION flow-cell (./MinION) or two PromethION flow-cells (PromethION), prepared by CD-pore-seq (with the second strand synthesised by the primer containing TelN recognition sequence, cut and covalently linked by TelN digestion).

Fields of Study & Subjects

Nanopore and Nanochannel Transport Studies Genomics and Phylogenetic Studies Cancer Genomics and Diagnostics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN
Document type
Dataset