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RRAP: RPKM Recruitment Analysis Pipeline
A common method for quantifying microbial abundances in situ is through metagenomic read recruitment to genomes and normalizing read counts as reads per kilobase (of genome) per million (bases of recruited sequences) (RPKM). We created RRAP (RPKM Recruitment Analysis Pipeline), a wrapper that automa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476942/ https://www.ncbi.nlm.nih.gov/pubmed/35993706 http://dx.doi.org/10.1128/mra.00644-22 |
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author | Kojima, Conner Y. Getz, Eric W. Thrash, J. Cameron |
author_facet | Kojima, Conner Y. Getz, Eric W. Thrash, J. Cameron |
author_sort | Kojima, Conner Y. |
collection | PubMed |
description | A common method for quantifying microbial abundances in situ is through metagenomic read recruitment to genomes and normalizing read counts as reads per kilobase (of genome) per million (bases of recruited sequences) (RPKM). We created RRAP (RPKM Recruitment Analysis Pipeline), a wrapper that automates this process using Bowtie2 and SAMtools. |
format | Online Article Text |
id | pubmed-9476942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-94769422022-09-16 RRAP: RPKM Recruitment Analysis Pipeline Kojima, Conner Y. Getz, Eric W. Thrash, J. Cameron Microbiol Resour Announc Databases and Software A common method for quantifying microbial abundances in situ is through metagenomic read recruitment to genomes and normalizing read counts as reads per kilobase (of genome) per million (bases of recruited sequences) (RPKM). We created RRAP (RPKM Recruitment Analysis Pipeline), a wrapper that automates this process using Bowtie2 and SAMtools. American Society for Microbiology 2022-08-22 /pmc/articles/PMC9476942/ /pubmed/35993706 http://dx.doi.org/10.1128/mra.00644-22 Text en Copyright © 2022 Kojima et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Databases and Software Kojima, Conner Y. Getz, Eric W. Thrash, J. Cameron RRAP: RPKM Recruitment Analysis Pipeline |
title | RRAP: RPKM Recruitment Analysis Pipeline |
title_full | RRAP: RPKM Recruitment Analysis Pipeline |
title_fullStr | RRAP: RPKM Recruitment Analysis Pipeline |
title_full_unstemmed | RRAP: RPKM Recruitment Analysis Pipeline |
title_short | RRAP: RPKM Recruitment Analysis Pipeline |
title_sort | rrap: rpkm recruitment analysis pipeline |
topic | Databases and Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476942/ https://www.ncbi.nlm.nih.gov/pubmed/35993706 http://dx.doi.org/10.1128/mra.00644-22 |
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