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Highly parallel direct RNA sequencing on an array of nanopores
Author(s) -
Daniel R. Garalde,
Elizabeth A. Snell,
Daniel Jachimowicz,
Botond Sipos,
Joseph H Lloyd,
Mark Bruce,
Nadia Pantic,
Tigist Admassu,
Phillip James,
Anthony Warland,
Michael R. Jordan,
Jonah Ciccone,
Sabrina Serra,
Jemma Keenan,
Samuel Martin,
Luke A. McNeill,
E. Jayne Wallace,
Lakmal Jayasinghe,
Chris Wright,
Javier Blasco,
Stephen L. Young,
Denise Brocklebank,
Sissel Juul,
James Clarke,
Andrew J. Heron,
Daniel J. Turner
Publication year - 2018
Publication title -
nature methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.469
H-Index - 318
eISSN - 1548-7105
pISSN - 1548-7091
DOI - 10.1038/nmeth.4577
Subject(s) - rna , nanopore , nanopore sequencing , computational biology , rna splicing , biology , transcription (linguistics) , reverse transcriptase , genetics , dna sequencing , gene , nanotechnology , linguistics , philosophy , materials science
Sequencing the RNA in a biological sample can unlock a wealth of information, including the identity of bacteria and viruses, the nuances of alternative splicing or the transcriptional state of organisms. However, current methods have limitations due to short read lengths and reverse transcription or amplification biases. Here we demonstrate nanopore direct RNA-seq, a highly parallel, real-time, single-molecule method that circumvents reverse transcription or amplification steps. This method yields full-length, strand-specific RNA sequences and enables the direct detection of nucleotide analogs in RNA.

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