Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
by
Leggett, Richard M.
, Martin, Samuel
, Heavens, Darren
, Horsfield, Samuel
, Lan, Yuxuan
, Clark, Matthew D.
in
Adaptive sampling
/ Animal Genetics and Genomics
/ Artificial chromosomes
/ Bioinformatics
/ Biomedical and Life Sciences
/ Decision making
/ Enrichment
/ Evolutionary Biology
/ genome
/ Genomes
/ High-Throughput Nucleotide Sequencing
/ Human Genetics
/ Life Sciences
/ Long Read Sequencing
/ Mathematical models
/ Metagenome
/ Metagenomics
/ Method
/ Microbial Genetics and Genomics
/ Nanopore
/ Nanopore Sequencing
/ Nanopores
/ Plant Genetics and Genomics
/ ReadUntil
/ Sampling
/ Sequence Analysis, DNA
/ Sequencing
/ Software
/ Species
/ Third party
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
by
Leggett, Richard M.
, Martin, Samuel
, Heavens, Darren
, Horsfield, Samuel
, Lan, Yuxuan
, Clark, Matthew D.
in
Adaptive sampling
/ Animal Genetics and Genomics
/ Artificial chromosomes
/ Bioinformatics
/ Biomedical and Life Sciences
/ Decision making
/ Enrichment
/ Evolutionary Biology
/ genome
/ Genomes
/ High-Throughput Nucleotide Sequencing
/ Human Genetics
/ Life Sciences
/ Long Read Sequencing
/ Mathematical models
/ Metagenome
/ Metagenomics
/ Method
/ Microbial Genetics and Genomics
/ Nanopore
/ Nanopore Sequencing
/ Nanopores
/ Plant Genetics and Genomics
/ ReadUntil
/ Sampling
/ Sequence Analysis, DNA
/ Sequencing
/ Software
/ Species
/ Third party
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
by
Leggett, Richard M.
, Martin, Samuel
, Heavens, Darren
, Horsfield, Samuel
, Lan, Yuxuan
, Clark, Matthew D.
in
Adaptive sampling
/ Animal Genetics and Genomics
/ Artificial chromosomes
/ Bioinformatics
/ Biomedical and Life Sciences
/ Decision making
/ Enrichment
/ Evolutionary Biology
/ genome
/ Genomes
/ High-Throughput Nucleotide Sequencing
/ Human Genetics
/ Life Sciences
/ Long Read Sequencing
/ Mathematical models
/ Metagenome
/ Metagenomics
/ Method
/ Microbial Genetics and Genomics
/ Nanopore
/ Nanopore Sequencing
/ Nanopores
/ Plant Genetics and Genomics
/ ReadUntil
/ Sampling
/ Sequence Analysis, DNA
/ Sequencing
/ Software
/ Species
/ Third party
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
Journal Article
Nanopore adaptive sampling: a tool for enrichment of low abundance species in metagenomic samples
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Adaptive sampling is a method of software-controlled enrichment unique to nanopore sequencing platforms. To test its potential for enrichment of rarer species within metagenomic samples, we create a synthetic mock community and construct sequencing libraries with a range of mean read lengths. Enrichment is up to 13.87-fold for the least abundant species in the longest read length library; factoring in reduced yields from rejecting molecules the calculated efficiency raises this to 4.93-fold. Finally, we introduce a mathematical model of enrichment based on molecule length and relative abundance, whose predictions correlate strongly with mock and complex real-world microbial communities.
Publisher
BioMed Central,Springer Nature B.V,BMC
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.