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SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer
SUMMARY: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030956/ https://www.ncbi.nlm.nih.gov/pubmed/29069297 http://dx.doi.org/10.1093/bioinformatics/btx674 |
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author | Beccuti, Marco Cordero, Francesca Arigoni, Maddalena Panero, Riccardo Amparore, Elvio G Donatelli, Susanna Calogero, Raffaele A |
author_facet | Beccuti, Marco Cordero, Francesca Arigoni, Maddalena Panero, Riccardo Amparore, Elvio G Donatelli, Susanna Calogero, Raffaele A |
author_sort | Beccuti, Marco |
collection | PubMed |
description | SUMMARY: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution based on NUC6I7KYK mini-PC (an Intel consumer game computer with a fast processor and a high performance SSD disk), and Docker container platform. In SeqBox the analysis of RNAseq and ChIPseq data is supported by a friendly GUI. This allows access to fast and reproducible analysis also to scientists with/without scripting experience. AVAILABILITY AND IMPLEMENTATION: Docker container images, docker4seq package and the GUI are available at http://www.bioinformatica.unito.it/reproducibile.bioinformatics.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6030956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60309562018-07-10 SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer Beccuti, Marco Cordero, Francesca Arigoni, Maddalena Panero, Riccardo Amparore, Elvio G Donatelli, Susanna Calogero, Raffaele A Bioinformatics Applications Notes SUMMARY: Short reads sequencing technology has been used for more than a decade now. However, the analysis of RNAseq and ChIPseq data is still computational demanding and the simple access to raw data does not guarantee results reproducibility between laboratories. To address these two aspects, we developed SeqBox, a cheap, efficient and reproducible RNAseq/ChIPseq hardware/software solution based on NUC6I7KYK mini-PC (an Intel consumer game computer with a fast processor and a high performance SSD disk), and Docker container platform. In SeqBox the analysis of RNAseq and ChIPseq data is supported by a friendly GUI. This allows access to fast and reproducible analysis also to scientists with/without scripting experience. AVAILABILITY AND IMPLEMENTATION: Docker container images, docker4seq package and the GUI are available at http://www.bioinformatica.unito.it/reproducibile.bioinformatics.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-03-01 2017-10-23 /pmc/articles/PMC6030956/ /pubmed/29069297 http://dx.doi.org/10.1093/bioinformatics/btx674 Text en © The Author 2017. 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 Beccuti, Marco Cordero, Francesca Arigoni, Maddalena Panero, Riccardo Amparore, Elvio G Donatelli, Susanna Calogero, Raffaele A SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title | SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title_full | SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title_fullStr | SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title_full_unstemmed | SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title_short | SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer |
title_sort | seqbox: rnaseq/chipseq reproducible analysis on a consumer game computer |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030956/ https://www.ncbi.nlm.nih.gov/pubmed/29069297 http://dx.doi.org/10.1093/bioinformatics/btx674 |
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