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MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419898/ https://www.ncbi.nlm.nih.gov/pubmed/30099528 http://dx.doi.org/10.1093/bioinformatics/bty652 |
| _version_ | 1783404021261795328 |
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| author | Asgari, Ehsaneddin Garakani, Kiavash McHardy, Alice C Mofrad, Mohammad R K |
| author_facet | Asgari, Ehsaneddin Garakani, Kiavash McHardy, Alice C Mofrad, Mohammad R K |
| author_sort | Asgari, Ehsaneddin |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-6419898 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | Oxford University Press |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-64198982019-03-20 MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples Asgari, Ehsaneddin Garakani, Kiavash McHardy, Alice C Mofrad, Mohammad R K Bioinformatics Corrigendum Oxford University Press 2019-03-15 2018-08-07 /pmc/articles/PMC6419898/ /pubmed/30099528 http://dx.doi.org/10.1093/bioinformatics/bty652 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License(http://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 contactjournals.permissions@oup.com |
| spellingShingle | Corrigendum Asgari, Ehsaneddin Garakani, Kiavash McHardy, Alice C Mofrad, Mohammad R K MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title | MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title_full | MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title_fullStr | MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title_full_unstemmed | MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title_short | MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples |
| title_sort | micropheno: predicting environments and host phenotypes from 16s rrna gene sequencing using a k-mer based representation of shallow sub-samples |
| topic | Corrigendum |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6419898/ https://www.ncbi.nlm.nih.gov/pubmed/30099528 http://dx.doi.org/10.1093/bioinformatics/bty652 |
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