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Title: Supporting data for "INC-Seq: accurate single molecule reads using nanopore sequencing"      
dateReleased:
07-28-2016
privacy:
not applicable
aggregation:
instance of dataset
dateCreated:
07-28-2016
refinement:
curated
ID:
doi:10.5524/100208
creators:
,
Boey, Esther JiaHui
Ng, Amanda HuiQi
Wilm, Andreas
availability:
available
types:
sequence
description:
Nanopore sequencing provides a rapid, cheap and portable real-time sequencing platform with the potential to revolutionize genomics. However, several applications are limited by relatively high single-read error rates (>10%), including RNA-seq, haplotype sequencing and 16S sequencing. We developed the Intramolecular-ligated Nanopore Consensus Sequencing (INC-Seq) as a strategy for obtaining long and accurate nanopore reads, starting with low input DNA. Applying INC-Seq for 16S rRNA-based bacterial profiling generated full-length amplicon sequences with a median accuracy >97%. INC-Seq reads enabled accurate species-level classification, identification of species at 0.1% abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.
accessURL: https://doi.org/10.5524/100208
storedIn:
GigaScience Database
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
GigaDB
homePage: http://gigadb.org/
ID:
SCR:006565
name:
Giga Science Database

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