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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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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. |
format | Online Article Text |
id | pubmed-3998122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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