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Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses

The advent of Next Generation Sequencing (NGS) technologies has opened new possibilities for researchers. However, the more biology becomes a data-intensive field, the more biologists have to learn how to process and analyze NGS data with complex computational tools. Even with the availability of co...

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Autores principales: Golosova, Olga, Henderson, Ross, Vaskin, Yuriy, Gabrielian, Andrei, Grekhov, German, Nagarajan, Vijayaraj, Oler, Andrew J., Quiñones, Mariam, Hurt, Darrell, Fursov, Mikhail, Huyen, Yentram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226638/
https://www.ncbi.nlm.nih.gov/pubmed/25392756
http://dx.doi.org/10.7717/peerj.644
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author Golosova, Olga
Henderson, Ross
Vaskin, Yuriy
Gabrielian, Andrei
Grekhov, German
Nagarajan, Vijayaraj
Oler, Andrew J.
Quiñones, Mariam
Hurt, Darrell
Fursov, Mikhail
Huyen, Yentram
author_facet Golosova, Olga
Henderson, Ross
Vaskin, Yuriy
Gabrielian, Andrei
Grekhov, German
Nagarajan, Vijayaraj
Oler, Andrew J.
Quiñones, Mariam
Hurt, Darrell
Fursov, Mikhail
Huyen, Yentram
author_sort Golosova, Olga
collection PubMed
description The advent of Next Generation Sequencing (NGS) technologies has opened new possibilities for researchers. However, the more biology becomes a data-intensive field, the more biologists have to learn how to process and analyze NGS data with complex computational tools. Even with the availability of common pipeline specifications, it is often a time-consuming and cumbersome task for a bench scientist to install and configure the pipeline tools. We believe that a unified, desktop and biologist-friendly front end to NGS data analysis tools will substantially improve productivity in this field. Here we present NGS pipelines “Variant Calling with SAMtools”, “Tuxedo Pipeline for RNA-seq Data Analysis” and “Cistrome Pipeline for ChIP-seq Data Analysis” integrated into the Unipro UGENE desktop toolkit. We describe the available UGENE infrastructure that helps researchers run these pipelines on different datasets, store and investigate the results and re-run the pipelines with the same parameters. These pipeline tools are included in the UGENE NGS package. Individual blocks of these pipelines are also available for expert users to create their own advanced workflows.
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spelling pubmed-42266382014-11-12 Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses Golosova, Olga Henderson, Ross Vaskin, Yuriy Gabrielian, Andrei Grekhov, German Nagarajan, Vijayaraj Oler, Andrew J. Quiñones, Mariam Hurt, Darrell Fursov, Mikhail Huyen, Yentram PeerJ Bioinformatics The advent of Next Generation Sequencing (NGS) technologies has opened new possibilities for researchers. However, the more biology becomes a data-intensive field, the more biologists have to learn how to process and analyze NGS data with complex computational tools. Even with the availability of common pipeline specifications, it is often a time-consuming and cumbersome task for a bench scientist to install and configure the pipeline tools. We believe that a unified, desktop and biologist-friendly front end to NGS data analysis tools will substantially improve productivity in this field. Here we present NGS pipelines “Variant Calling with SAMtools”, “Tuxedo Pipeline for RNA-seq Data Analysis” and “Cistrome Pipeline for ChIP-seq Data Analysis” integrated into the Unipro UGENE desktop toolkit. We describe the available UGENE infrastructure that helps researchers run these pipelines on different datasets, store and investigate the results and re-run the pipelines with the same parameters. These pipeline tools are included in the UGENE NGS package. Individual blocks of these pipelines are also available for expert users to create their own advanced workflows. PeerJ Inc. 2014-11-04 /pmc/articles/PMC4226638/ /pubmed/25392756 http://dx.doi.org/10.7717/peerj.644 Text en © 2014 Golosova et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Golosova, Olga
Henderson, Ross
Vaskin, Yuriy
Gabrielian, Andrei
Grekhov, German
Nagarajan, Vijayaraj
Oler, Andrew J.
Quiñones, Mariam
Hurt, Darrell
Fursov, Mikhail
Huyen, Yentram
Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title_full Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title_fullStr Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title_full_unstemmed Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title_short Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses
title_sort unipro ugene ngs pipelines and components for variant calling, rna-seq and chip-seq data analyses
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4226638/
https://www.ncbi.nlm.nih.gov/pubmed/25392756
http://dx.doi.org/10.7717/peerj.644
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