Parallel sequencing lives, or what makes large sequencing projects successful

T47D_rep2 and b1913e6c1_51720e9cf were 2 Hi-C samples. They were born and processed at the same time, yet their fates were very different. The life of b1913e6c1_51720e9cf was simple and fruitful, while that of T47D_rep2 was full of accidents and sorrow. At the heart of these differences lies the fac...

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Autores principales: Quilez, Javier, Vidal, Enrique, Dily, François Le, Serra, François, Cuartero, Yasmina, Stadhouders, Ralph, Graf, Thomas, Marti-Renom, Marc A, Beato, Miguel, Filion, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Commentaries
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714127/
https://www.ncbi.nlm.nih.gov/pubmed/29048533
http://dx.doi.org/10.1093/gigascience/gix100
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author Quilez, Javier
Vidal, Enrique
Dily, François Le
Serra, François
Cuartero, Yasmina
Stadhouders, Ralph
Graf, Thomas
Marti-Renom, Marc A
Beato, Miguel
Filion, Guillaume
author_facet Quilez, Javier
Vidal, Enrique
Dily, François Le
Serra, François
Cuartero, Yasmina
Stadhouders, Ralph
Graf, Thomas
Marti-Renom, Marc A
Beato, Miguel
Filion, Guillaume
author_sort Quilez, Javier
collection PubMed
description T47D_rep2 and b1913e6c1_51720e9cf were 2 Hi-C samples. They were born and processed at the same time, yet their fates were very different. The life of b1913e6c1_51720e9cf was simple and fruitful, while that of T47D_rep2 was full of accidents and sorrow. At the heart of these differences lies the fact that b1913e6c1_51720e9cf was born under a lab culture of Documentation, Automation, Traceability, and Autonomy and compliance with the FAIR Principles. Their lives are a lesson for those who wish to embark on the journey of managing high-throughput sequencing data.
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spelling pubmed-57141272017-12-08 Parallel sequencing lives, or what makes large sequencing projects successful Quilez, Javier Vidal, Enrique Dily, François Le Serra, François Cuartero, Yasmina Stadhouders, Ralph Graf, Thomas Marti-Renom, Marc A Beato, Miguel Filion, Guillaume Gigascience Commentaries T47D_rep2 and b1913e6c1_51720e9cf were 2 Hi-C samples. They were born and processed at the same time, yet their fates were very different. The life of b1913e6c1_51720e9cf was simple and fruitful, while that of T47D_rep2 was full of accidents and sorrow. At the heart of these differences lies the fact that b1913e6c1_51720e9cf was born under a lab culture of Documentation, Automation, Traceability, and Autonomy and compliance with the FAIR Principles. Their lives are a lesson for those who wish to embark on the journey of managing high-throughput sequencing data. Oxford University Press 2017-10-18 /pmc/articles/PMC5714127/ /pubmed/29048533 http://dx.doi.org/10.1093/gigascience/gix100 Text en © The Author 2017. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentaries
Quilez, Javier
Vidal, Enrique
Dily, François Le
Serra, François
Cuartero, Yasmina
Stadhouders, Ralph
Graf, Thomas
Marti-Renom, Marc A
Beato, Miguel
Filion, Guillaume
Parallel sequencing lives, or what makes large sequencing projects successful
title Parallel sequencing lives, or what makes large sequencing projects successful
title_full Parallel sequencing lives, or what makes large sequencing projects successful
title_fullStr Parallel sequencing lives, or what makes large sequencing projects successful
title_full_unstemmed Parallel sequencing lives, or what makes large sequencing projects successful
title_short Parallel sequencing lives, or what makes large sequencing projects successful
title_sort parallel sequencing lives, or what makes large sequencing projects successful
topic Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714127/
https://www.ncbi.nlm.nih.gov/pubmed/29048533
http://dx.doi.org/10.1093/gigascience/gix100
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