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AXIOME: automated exploration of microbial diversity

BACKGROUND: Although high-throughput sequencing of small subunit rRNA genes has revolutionized our understanding of microbial ecosystems, these technologies generate data at depths that benefit from automated analysis. Here we present AXIOME (Automation, eXtension, and Integration Of Microbial Ecolo...

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Autores principales: Lynch, Michael DJ, Masella, Andre P, Hall, Michael W, Bartram, Andrea K, Neufeld, Josh D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626533/
https://www.ncbi.nlm.nih.gov/pubmed/23587322
http://dx.doi.org/10.1186/2047-217X-2-3
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author Lynch, Michael DJ
Masella, Andre P
Hall, Michael W
Bartram, Andrea K
Neufeld, Josh D
author_facet Lynch, Michael DJ
Masella, Andre P
Hall, Michael W
Bartram, Andrea K
Neufeld, Josh D
author_sort Lynch, Michael DJ
collection PubMed
description BACKGROUND: Although high-throughput sequencing of small subunit rRNA genes has revolutionized our understanding of microbial ecosystems, these technologies generate data at depths that benefit from automated analysis. Here we present AXIOME (Automation, eXtension, and Integration Of Microbial Ecology), a highly flexible and extensible management tool for popular microbial ecology analysis packages that promotes reproducibility and customization in microbial research. FINDINGS: AXIOME streamlines and manages analysis of small subunit (SSU) rRNA marker data in QIIME and mothur. AXIOME also implements features including the PAired-eND Assembler for Illumina sequences (PANDAseq), non-negative matrix factorization (NMF), multi-response permutation procedures (MRPP), exploring and recovering phylogenetic novelty (SSUnique) and indicator species analysis. AXIOME has a companion graphical user interface (GUI) and is designed to be easily extended to facilitate customized research workflows. CONCLUSIONS: AXIOME is an actively developed, open source project written in Vala and available from GitHub (http://neufeld.github.com/axiome) and as a Debian package. Axiometic, a GUI companion tool is also freely available (http://neufeld.github.com/axiometic). Given that data analysis has become an important bottleneck for microbial ecology studies, the development of user-friendly computational tools remains a high priority. AXIOME represents an important step in this direction by automating multi-step bioinformatic analyses and enabling the customization of procedures to suit the diverse research needs of the microbial ecology community.
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spelling pubmed-36265332013-04-24 AXIOME: automated exploration of microbial diversity Lynch, Michael DJ Masella, Andre P Hall, Michael W Bartram, Andrea K Neufeld, Josh D Gigascience Technical Note BACKGROUND: Although high-throughput sequencing of small subunit rRNA genes has revolutionized our understanding of microbial ecosystems, these technologies generate data at depths that benefit from automated analysis. Here we present AXIOME (Automation, eXtension, and Integration Of Microbial Ecology), a highly flexible and extensible management tool for popular microbial ecology analysis packages that promotes reproducibility and customization in microbial research. FINDINGS: AXIOME streamlines and manages analysis of small subunit (SSU) rRNA marker data in QIIME and mothur. AXIOME also implements features including the PAired-eND Assembler for Illumina sequences (PANDAseq), non-negative matrix factorization (NMF), multi-response permutation procedures (MRPP), exploring and recovering phylogenetic novelty (SSUnique) and indicator species analysis. AXIOME has a companion graphical user interface (GUI) and is designed to be easily extended to facilitate customized research workflows. CONCLUSIONS: AXIOME is an actively developed, open source project written in Vala and available from GitHub (http://neufeld.github.com/axiome) and as a Debian package. Axiometic, a GUI companion tool is also freely available (http://neufeld.github.com/axiometic). Given that data analysis has become an important bottleneck for microbial ecology studies, the development of user-friendly computational tools remains a high priority. AXIOME represents an important step in this direction by automating multi-step bioinformatic analyses and enabling the customization of procedures to suit the diverse research needs of the microbial ecology community. BioMed Central 2013-03-13 /pmc/articles/PMC3626533/ /pubmed/23587322 http://dx.doi.org/10.1186/2047-217X-2-3 Text en Copyright © 2013 Lynch et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Lynch, Michael DJ
Masella, Andre P
Hall, Michael W
Bartram, Andrea K
Neufeld, Josh D
AXIOME: automated exploration of microbial diversity
title AXIOME: automated exploration of microbial diversity
title_full AXIOME: automated exploration of microbial diversity
title_fullStr AXIOME: automated exploration of microbial diversity
title_full_unstemmed AXIOME: automated exploration of microbial diversity
title_short AXIOME: automated exploration of microbial diversity
title_sort axiome: automated exploration of microbial diversity
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626533/
https://www.ncbi.nlm.nih.gov/pubmed/23587322
http://dx.doi.org/10.1186/2047-217X-2-3
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