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Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
by
Klammer, Aaron A
, Eichler, Evan E
, Huddleston, John
, Clum, Alicia
, Korlach, Jonas
, Chin, Chen-Shan
, Turner, Stephen W
, Heiner, Cheryl
, Alexander, David H
, Drake, James
, Marks, Patrick
, Copeland, Alex
in
631/114/2785
/ 631/1647/2217
/ 631/1647/514/1948
/ 631/208/212/2302
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ Chromosomes, Artificial, Bacterial
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Escherichia coli - genetics
/ Gene Library
/ Genome, Bacterial
/ Genomic libraries
/ Genomics
/ Humans
/ Life Sciences
/ Methods
/ Microbiology
/ Microorganisms
/ Nucleotide sequencing
/ Proteomics
/ Repetitive Sequences, Nucleic Acid
/ Sequence Analysis, DNA - methods
2013
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Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
by
Klammer, Aaron A
, Eichler, Evan E
, Huddleston, John
, Clum, Alicia
, Korlach, Jonas
, Chin, Chen-Shan
, Turner, Stephen W
, Heiner, Cheryl
, Alexander, David H
, Drake, James
, Marks, Patrick
, Copeland, Alex
in
631/114/2785
/ 631/1647/2217
/ 631/1647/514/1948
/ 631/208/212/2302
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ Chromosomes, Artificial, Bacterial
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Escherichia coli - genetics
/ Gene Library
/ Genome, Bacterial
/ Genomic libraries
/ Genomics
/ Humans
/ Life Sciences
/ Methods
/ Microbiology
/ Microorganisms
/ Nucleotide sequencing
/ Proteomics
/ Repetitive Sequences, Nucleic Acid
/ Sequence Analysis, DNA - methods
2013
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
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Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
by
Klammer, Aaron A
, Eichler, Evan E
, Huddleston, John
, Clum, Alicia
, Korlach, Jonas
, Chin, Chen-Shan
, Turner, Stephen W
, Heiner, Cheryl
, Alexander, David H
, Drake, James
, Marks, Patrick
, Copeland, Alex
in
631/114/2785
/ 631/1647/2217
/ 631/1647/514/1948
/ 631/208/212/2302
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ Chromosomes, Artificial, Bacterial
/ Deoxyribonucleic acid
/ DNA
/ DNA sequencing
/ Escherichia coli - genetics
/ Gene Library
/ Genome, Bacterial
/ Genomic libraries
/ Genomics
/ Humans
/ Life Sciences
/ Methods
/ Microbiology
/ Microorganisms
/ Nucleotide sequencing
/ Proteomics
/ Repetitive Sequences, Nucleic Acid
/ Sequence Analysis, DNA - methods
2013
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Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
Journal Article
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
2013
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Overview
Unlike hybrid approaches that use multiple libraries for
de novo
assembly, the hierarchical genome-assembly process uses data from only a single long-read SMRT sequencing library to produce high-quality finished microbial genome or BAC assemblies in an automated workflow.
We present a hierarchical genome-assembly process (HGAP) for high-quality
de novo
microbial genome assemblies using only a single, long-insert shotgun DNA library in conjunction with Single Molecule, Real-Time (SMRT) DNA sequencing. Our method uses the longest reads as seeds to recruit all other reads for construction of highly accurate preassembled reads through a directed acyclic graph–based consensus procedure, which we follow with assembly using off-the-shelf long-read assemblers. In contrast to hybrid approaches, HGAP does not require highly accurate raw reads for error correction. We demonstrate efficient genome assembly for several microorganisms using as few as three SMRT Cell zero-mode waveguide arrays of sequencing and for BACs using just one SMRT Cell. Long repeat regions can be successfully resolved with this workflow. We also describe a consensus algorithm that incorporates SMRT sequencing primary quality values to produce
de novo
genome sequence exceeding 99.999% accuracy.
Publisher
Nature Publishing Group US,Nature Publishing Group
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