Ultrafast search of all deposited bacterial and viral genomic data

Exponentially increasing amounts of unprocessed bacterial and viral genomic sequence data are stored in the global archives. The ability to query these data for sequence search terms would facilitate both basic research and applications such as real-time genomic epidemiology and surveillance. Howeve...

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Main Authors: Bradley, P, Den Bakker, H, Rocha, E, McVean, G, Iqbal, Z
Format: Journal article
Language:English
Published: Nature 2019
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author Bradley, P
Den Bakker, H
Rocha, E
McVean, G
Iqbal, Z
author_facet Bradley, P
Den Bakker, H
Rocha, E
McVean, G
Iqbal, Z
author_sort Bradley, P
collection OXFORD
description Exponentially increasing amounts of unprocessed bacterial and viral genomic sequence data are stored in the global archives. The ability to query these data for sequence search terms would facilitate both basic research and applications such as real-time genomic epidemiology and surveillance. However, this is not possible with current methods. To solve this problem, we combine knowledge of microbial population genomics with computational methods devised for web search to produce a searchable data structure named BItsliced Genomic Signature Index (BIGSI). We indexed the entire global corpus of 447,833 bacterial and viral whole-genome sequence datasets using four orders of magnitude less storage than previous methods. We applied our BIGSI search function to rapidly find resistance genes MCR-1, MCR-2, and MCR-3, determine the host-range of 2,827 plasmids, and quantify antibiotic resistance in archived datasets. Our index can grow incrementally as new (unprocessed or assembled) sequence datasets are deposited and can scale to millions of datasets.
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spelling oxford-uuid:822271d1-e5f6-4397-950d-476b6836ccd42022-03-26T21:35:11ZUltrafast search of all deposited bacterial and viral genomic dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:822271d1-e5f6-4397-950d-476b6836ccd4EnglishSymplectic Elements at OxfordNature2019Bradley, PDen Bakker, HRocha, EMcVean, GIqbal, ZExponentially increasing amounts of unprocessed bacterial and viral genomic sequence data are stored in the global archives. The ability to query these data for sequence search terms would facilitate both basic research and applications such as real-time genomic epidemiology and surveillance. However, this is not possible with current methods. To solve this problem, we combine knowledge of microbial population genomics with computational methods devised for web search to produce a searchable data structure named BItsliced Genomic Signature Index (BIGSI). We indexed the entire global corpus of 447,833 bacterial and viral whole-genome sequence datasets using four orders of magnitude less storage than previous methods. We applied our BIGSI search function to rapidly find resistance genes MCR-1, MCR-2, and MCR-3, determine the host-range of 2,827 plasmids, and quantify antibiotic resistance in archived datasets. Our index can grow incrementally as new (unprocessed or assembled) sequence datasets are deposited and can scale to millions of datasets.
spellingShingle Bradley, P
Den Bakker, H
Rocha, E
McVean, G
Iqbal, Z
Ultrafast search of all deposited bacterial and viral genomic data
title Ultrafast search of all deposited bacterial and viral genomic data
title_full Ultrafast search of all deposited bacterial and viral genomic data
title_fullStr Ultrafast search of all deposited bacterial and viral genomic data
title_full_unstemmed Ultrafast search of all deposited bacterial and viral genomic data
title_short Ultrafast search of all deposited bacterial and viral genomic data
title_sort ultrafast search of all deposited bacterial and viral genomic data
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