Skmer: assembly-free and alignment-free sample identification using genome skims

Abstract The ability to inexpensively describe taxonomic diversity is critical in this era of rapid climate and biodiversity changes. The recent genome-skimming approach extends current barcoding practices beyond short markers by applying low-pass sequencing and recovering whole organelle genomes co...

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Main Authors: Shahab Sarmashghi, Kristine Bohmann, M. Thomas P. Gilbert, Vineet Bafna, Siavash Mirarab
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Genome Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13059-019-1632-4
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author Shahab Sarmashghi
Kristine Bohmann
M. Thomas P. Gilbert
Vineet Bafna
Siavash Mirarab
author_facet Shahab Sarmashghi
Kristine Bohmann
M. Thomas P. Gilbert
Vineet Bafna
Siavash Mirarab
author_sort Shahab Sarmashghi
collection DOAJ
description Abstract The ability to inexpensively describe taxonomic diversity is critical in this era of rapid climate and biodiversity changes. The recent genome-skimming approach extends current barcoding practices beyond short markers by applying low-pass sequencing and recovering whole organelle genomes computationally. This approach discards the nuclear DNA, which constitutes the vast majority of the data. In contrast, we suggest using all unassembled reads. We introduce an assembly-free and alignment-free tool, Skmer, to compute genomic distances between the query and reference genome skims. Skmer shows excellent accuracy in estimating distances and identifying the closest match in reference datasets.
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spelling doaj.art-b033993d37824b4bad6b7ae8537429df2022-12-22T01:23:51ZengBMCGenome Biology1474-760X2019-02-0120112010.1186/s13059-019-1632-4Skmer: assembly-free and alignment-free sample identification using genome skimsShahab Sarmashghi0Kristine Bohmann1M. Thomas P. Gilbert2Vineet Bafna3Siavash Mirarab4Department of Electrical & Computer Engineering, University of CaliforniaEvolutionary Genomics, Natural History Museum of Denmark, University of CopenhagenEvolutionary Genomics, Natural History Museum of Denmark, University of CopenhagenDepartment of Computer Science & Engineering, University of CaliforniaDepartment of Electrical & Computer Engineering, University of CaliforniaAbstract The ability to inexpensively describe taxonomic diversity is critical in this era of rapid climate and biodiversity changes. The recent genome-skimming approach extends current barcoding practices beyond short markers by applying low-pass sequencing and recovering whole organelle genomes computationally. This approach discards the nuclear DNA, which constitutes the vast majority of the data. In contrast, we suggest using all unassembled reads. We introduce an assembly-free and alignment-free tool, Skmer, to compute genomic distances between the query and reference genome skims. Skmer shows excellent accuracy in estimating distances and identifying the closest match in reference datasets.http://link.springer.com/article/10.1186/s13059-019-1632-4Assembly-freeAlignment-freeDNA BarcodingGenome skimmingDNA reference databaseSecond generation sequencing
spellingShingle Shahab Sarmashghi
Kristine Bohmann
M. Thomas P. Gilbert
Vineet Bafna
Siavash Mirarab
Skmer: assembly-free and alignment-free sample identification using genome skims
Genome Biology
Assembly-free
Alignment-free
DNA Barcoding
Genome skimming
DNA reference database
Second generation sequencing
title Skmer: assembly-free and alignment-free sample identification using genome skims
title_full Skmer: assembly-free and alignment-free sample identification using genome skims
title_fullStr Skmer: assembly-free and alignment-free sample identification using genome skims
title_full_unstemmed Skmer: assembly-free and alignment-free sample identification using genome skims
title_short Skmer: assembly-free and alignment-free sample identification using genome skims
title_sort skmer assembly free and alignment free sample identification using genome skims
topic Assembly-free
Alignment-free
DNA Barcoding
Genome skimming
DNA reference database
Second generation sequencing
url http://link.springer.com/article/10.1186/s13059-019-1632-4
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