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dc.contributor.authorHachey, Julie
dc.contributor.authorRuvkun, Gary
dc.contributor.authorMojarro, Angel
dc.contributor.authorZuber, Maria
dc.contributor.authorCarr, Christopher E.
dc.date.accessioned2018-04-06T14:14:46Z
dc.date.available2018-04-06T14:14:46Z
dc.date.issued2018-03
dc.date.submitted2017-10
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/1721.1/114584
dc.description.abstractBackground Long-read nanopore sequencing technology is of particular significance for taxonomic identification at or below the species level. For many environmental samples, the total extractable DNA is far below the current input requirements of nanopore sequencing, preventing “sample to sequence” metagenomics from low-biomass or recalcitrant samples. Results Here we address this problem by employing carrier sequencing, a method to sequence low-input DNA by preparing the target DNA with a genomic carrier to achieve ideal library preparation and sequencing stoichiometry without amplification. We then use CarrierSeq, a sequence analysis workflow to identify the low-input target reads from the genomic carrier. We tested CarrierSeq experimentally by sequencing from a combination of 0.2 ng Bacillus subtilis ATCC 6633 DNA in a background of 1000 ng Enterobacteria phage λ DNA. After filtering of carrier, low quality, and low complexity reads, we detected target reads (B. subtilis), contamination reads, and “high quality noise reads” (HQNRs) not mapping to the carrier, target or known lab contaminants. These reads appear to be artifacts of the nanopore sequencing process as they are associated with specific channels (pores). Conclusion By treating sequencing as a Poisson arrival process, we implement a statistical test to reject data from channels dominated by HQNRs while retaining low-input target reads.en_US
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration (Award NNX15AF85G)en_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s12859-018-2124-3en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceBioMed Centralen_US
dc.titleCarrierSeq: a sequence analysis workflow for low-input nanopore sequencingen_US
dc.typeArticleen_US
dc.identifier.citationMojarro, Angel et al. "CarrierSeq: a sequence analysis workflow for low-input nanopore sequencing." BMC Bioinformatics 19 (March 2018):108 © 2018 The Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorMojarro, Angel
dc.contributor.mitauthorZuber, Maria
dc.contributor.mitauthorCarr, Christopher E
dc.relation.journalBMC Bioinformaticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-04-01T12:59:11Z
dc.language.rfc3066en
dc.rights.holderThe Author(s).
dspace.orderedauthorsMojarro, Angel; Hachey, Julie; Ruvkun, Gary; Zuber, Maria T.; Carr, Christopher E.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4547-4747
dc.identifier.orcidhttps://orcid.org/0000-0003-2652-8017
mit.licensePUBLISHER_CCen_US


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