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Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis

We present Oqtans, an open-source workbench for quantitative transcriptome analysis, that is integrated in Galaxy. Its distinguishing features include customizable computational workflows and a modular pipeline architecture that facilitates comparative assessment of tool and data quality. Oqtans int...

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Autores principales: Sreedharan, Vipin T., Schultheiss, Sebastian J., Jean, Géraldine, Kahles, André, Bohnert, Regina, Drewe, Philipp, Mudrakarta, Pramod, Görnitz, Nico, Zeller, Georg, Rätsch, Gunnar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998122/
https://www.ncbi.nlm.nih.gov/pubmed/24413671
http://dx.doi.org/10.1093/bioinformatics/btt731
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author Sreedharan, Vipin T.
Schultheiss, Sebastian J.
Jean, Géraldine
Kahles, André
Bohnert, Regina
Drewe, Philipp
Mudrakarta, Pramod
Görnitz, Nico
Zeller, Georg
Rätsch, Gunnar
author_facet Sreedharan, Vipin T.
Schultheiss, Sebastian J.
Jean, Géraldine
Kahles, André
Bohnert, Regina
Drewe, Philipp
Mudrakarta, Pramod
Görnitz, Nico
Zeller, Georg
Rätsch, Gunnar
author_sort Sreedharan, Vipin T.
collection PubMed
description We present Oqtans, an open-source workbench for quantitative transcriptome analysis, that is integrated in Galaxy. Its distinguishing features include customizable computational workflows and a modular pipeline architecture that facilitates comparative assessment of tool and data quality. Oqtans integrates an assortment of machine learning-powered tools into Galaxy, which show superior or equal performance to state-of-the-art tools. Implemented tools comprise a complete transcriptome analysis workflow: short-read alignment, transcript identification/quantification and differential expression analysis. Oqtans and Galaxy facilitate persistent storage, data exchange and documentation of intermediate results and analysis workflows. We illustrate how Oqtans aids the interpretation of data from different experiments in easy to understand use cases. Users can easily create their own workflows and extend Oqtans by integrating specific tools. Oqtans is available as (i) a cloud machine image with a demo instance at cloud.oqtans.org, (ii) a public Galaxy instance at galaxy.cbio.mskcc.org, (iii) a git repository containing all installed software (oqtans.org/git); most of which is also available from (iv) the Galaxy Toolshed and (v) a share string to use along with Galaxy CloudMan. Contact: vipin@cbio.mskcc.org, ratschg@mskcc.org Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-39981222014-04-24 Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis Sreedharan, Vipin T. Schultheiss, Sebastian J. Jean, Géraldine Kahles, André Bohnert, Regina Drewe, Philipp Mudrakarta, Pramod Görnitz, Nico Zeller, Georg Rätsch, Gunnar Bioinformatics Applications Notes We present Oqtans, an open-source workbench for quantitative transcriptome analysis, that is integrated in Galaxy. Its distinguishing features include customizable computational workflows and a modular pipeline architecture that facilitates comparative assessment of tool and data quality. Oqtans integrates an assortment of machine learning-powered tools into Galaxy, which show superior or equal performance to state-of-the-art tools. Implemented tools comprise a complete transcriptome analysis workflow: short-read alignment, transcript identification/quantification and differential expression analysis. Oqtans and Galaxy facilitate persistent storage, data exchange and documentation of intermediate results and analysis workflows. We illustrate how Oqtans aids the interpretation of data from different experiments in easy to understand use cases. Users can easily create their own workflows and extend Oqtans by integrating specific tools. Oqtans is available as (i) a cloud machine image with a demo instance at cloud.oqtans.org, (ii) a public Galaxy instance at galaxy.cbio.mskcc.org, (iii) a git repository containing all installed software (oqtans.org/git); most of which is also available from (iv) the Galaxy Toolshed and (v) a share string to use along with Galaxy CloudMan. Contact: vipin@cbio.mskcc.org, ratschg@mskcc.org Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-05-01 2014-01-11 /pmc/articles/PMC3998122/ /pubmed/24413671 http://dx.doi.org/10.1093/bioinformatics/btt731 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Sreedharan, Vipin T.
Schultheiss, Sebastian J.
Jean, Géraldine
Kahles, André
Bohnert, Regina
Drewe, Philipp
Mudrakarta, Pramod
Görnitz, Nico
Zeller, Georg
Rätsch, Gunnar
Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title_full Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title_fullStr Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title_full_unstemmed Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title_short Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
title_sort oqtans: the rna-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998122/
https://www.ncbi.nlm.nih.gov/pubmed/24413671
http://dx.doi.org/10.1093/bioinformatics/btt731
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