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MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification
MOTIVATION: Taxonomic classification of 16S ribosomal RNA gene amplicon is an efficient and economic approach in microbiome analysis. 16S rRNA sequence databases like SILVA, RDP, EzBioCloud and HOMD used in downstream bioinformatic pipelines have limitations on either the sequence redundancy or the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113242/ https://www.ncbi.nlm.nih.gov/pubmed/35561196 http://dx.doi.org/10.1093/bioinformatics/btac184 |
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author | Liao, Chun-Chieh Fu, Po-Ying Huang, Chih-Wei Chuang, Chia-Hsien Yen, Yun Lin, Chung-Yen Chen, Shu-Hwa |
author_facet | Liao, Chun-Chieh Fu, Po-Ying Huang, Chih-Wei Chuang, Chia-Hsien Yen, Yun Lin, Chung-Yen Chen, Shu-Hwa |
author_sort | Liao, Chun-Chieh |
collection | PubMed |
description | MOTIVATION: Taxonomic classification of 16S ribosomal RNA gene amplicon is an efficient and economic approach in microbiome analysis. 16S rRNA sequence databases like SILVA, RDP, EzBioCloud and HOMD used in downstream bioinformatic pipelines have limitations on either the sequence redundancy or the delay on new sequence recruitment. To improve the 16S rRNA gene-based taxonomic classification, we merged these widely used databases and a collection of novel sequences systemically into an integrated resource. RESULTS: MetaSquare version 1.0 is an integrated 16S rRNA sequence database. It is composed of more than 6 million sequences and improves taxonomic classification resolution on both long-read and short-read methods. AVAILABILITY AND IMPLEMENTATION: Accessible at https://hub.docker.com/r/lsbnb/metasquare_db and https://github.com/lsbnb/MetaSquare SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9113242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91132422022-05-18 MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification Liao, Chun-Chieh Fu, Po-Ying Huang, Chih-Wei Chuang, Chia-Hsien Yen, Yun Lin, Chung-Yen Chen, Shu-Hwa Bioinformatics Applications Notes MOTIVATION: Taxonomic classification of 16S ribosomal RNA gene amplicon is an efficient and economic approach in microbiome analysis. 16S rRNA sequence databases like SILVA, RDP, EzBioCloud and HOMD used in downstream bioinformatic pipelines have limitations on either the sequence redundancy or the delay on new sequence recruitment. To improve the 16S rRNA gene-based taxonomic classification, we merged these widely used databases and a collection of novel sequences systemically into an integrated resource. RESULTS: MetaSquare version 1.0 is an integrated 16S rRNA sequence database. It is composed of more than 6 million sequences and improves taxonomic classification resolution on both long-read and short-read methods. AVAILABILITY AND IMPLEMENTATION: Accessible at https://hub.docker.com/r/lsbnb/metasquare_db and https://github.com/lsbnb/MetaSquare SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-03-23 /pmc/articles/PMC9113242/ /pubmed/35561196 http://dx.doi.org/10.1093/bioinformatics/btac184 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Liao, Chun-Chieh Fu, Po-Ying Huang, Chih-Wei Chuang, Chia-Hsien Yen, Yun Lin, Chung-Yen Chen, Shu-Hwa MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title | MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title_full | MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title_fullStr | MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title_full_unstemmed | MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title_short | MetaSquare: an integrated metadatabase of 16S rRNA gene amplicon for microbiome taxonomic classification |
title_sort | metasquare: an integrated metadatabase of 16s rrna gene amplicon for microbiome taxonomic classification |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113242/ https://www.ncbi.nlm.nih.gov/pubmed/35561196 http://dx.doi.org/10.1093/bioinformatics/btac184 |
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