Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1782343651586736128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4226638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT golosovaolga uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT hendersonross uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT vaskinyuriy uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT gabrielianandrei uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT grekhovgerman uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT nagarajanvijayaraj uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT olerandrewj uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT quinonesmariam uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT hurtdarrell uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT fursovmikhail uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses AT huyenyentram uniprougenengspipelinesandcomponentsforvariantcallingrnaseqandchipseqdataanalyses |