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SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses

MOTIVATION: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software deve...

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Autores principales: Větrovský, Tomáš, Baldrian, Petr, Morais, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022770/
https://www.ncbi.nlm.nih.gov/pubmed/29452334
http://dx.doi.org/10.1093/bioinformatics/bty071
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author Větrovský, Tomáš
Baldrian, Petr
Morais, Daniel
author_facet Větrovský, Tomáš
Baldrian, Petr
Morais, Daniel
author_sort Větrovský, Tomáš
collection PubMed
description MOTIVATION: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software developed by the scientific community to address this demand, although very useful, require experience of the command-line environment, extensive training and have steep learning curves, limiting their use. We created SEED 2, a graphical user interface for handling high-throughput amplicon-sequencing data under Windows operating systems. RESULTS: SEED 2 is the only sequence visualizer that empowers users with tools to handle amplicon-sequencing data of microbial community markers. It is suitable for any marker genes sequences obtained through Illumina, IonTorrent or Sanger sequencing. SEED 2 allows the user to process raw sequencing data, identify specific taxa, produce of OTU-tables, create sequence alignments and construct phylogenetic trees. Standard dual core laptops with 8 GB of RAM can handle ca. 8 million of Illumina PE 300 bp sequences, ca. 4 GB of data. AVAILABILITY AND IMPLEMENTATION: SEED 2 was implemented in Object Pascal and uses internal functions and external software for amplicon data processing. SEED 2 is a freeware software, available at http://www.biomed.cas.cz/mbu/lbwrf/seed/ as a self-contained file, including all the dependencies, and does not require installation. Supplementary data contain a comprehensive list of supported functions. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-60227702018-07-05 SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses Větrovský, Tomáš Baldrian, Petr Morais, Daniel Bioinformatics Applications Notes MOTIVATION: Modern molecular methods have increased our ability to describe microbial communities. Along with the advances brought by new sequencing technologies, we now require intensive computational resources to make sense of the large numbers of sequences continuously produced. The software developed by the scientific community to address this demand, although very useful, require experience of the command-line environment, extensive training and have steep learning curves, limiting their use. We created SEED 2, a graphical user interface for handling high-throughput amplicon-sequencing data under Windows operating systems. RESULTS: SEED 2 is the only sequence visualizer that empowers users with tools to handle amplicon-sequencing data of microbial community markers. It is suitable for any marker genes sequences obtained through Illumina, IonTorrent or Sanger sequencing. SEED 2 allows the user to process raw sequencing data, identify specific taxa, produce of OTU-tables, create sequence alignments and construct phylogenetic trees. Standard dual core laptops with 8 GB of RAM can handle ca. 8 million of Illumina PE 300 bp sequences, ca. 4 GB of data. AVAILABILITY AND IMPLEMENTATION: SEED 2 was implemented in Object Pascal and uses internal functions and external software for amplicon data processing. SEED 2 is a freeware software, available at http://www.biomed.cas.cz/mbu/lbwrf/seed/ as a self-contained file, including all the dependencies, and does not require installation. Supplementary data contain a comprehensive list of supported functions. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-07-01 2018-02-14 /pmc/articles/PMC6022770/ /pubmed/29452334 http://dx.doi.org/10.1093/bioinformatics/bty071 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 contact journals.permissions@oup.com
spellingShingle Applications Notes
Větrovský, Tomáš
Baldrian, Petr
Morais, Daniel
SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title_full SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title_fullStr SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title_full_unstemmed SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title_short SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
title_sort seed 2: a user-friendly platform for amplicon high-throughput sequencing data analyses
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022770/
https://www.ncbi.nlm.nih.gov/pubmed/29452334
http://dx.doi.org/10.1093/bioinformatics/bty071
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