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Large Scale Library Generation for High Throughput Sequencing
BACKGROUND: Large efforts have recently been made to automate the sample preparation protocols for massively parallel sequencing in order to match the increasing instrument throughput. Still, the size selection through agarose gel electrophoresis separation is a labor-intensive bottleneck of these p...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083417/ https://www.ncbi.nlm.nih.gov/pubmed/21589638 http://dx.doi.org/10.1371/journal.pone.0019119 |
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author | Borgström, Erik Lundin, Sverker Lundeberg, Joakim |
author_facet | Borgström, Erik Lundin, Sverker Lundeberg, Joakim |
author_sort | Borgström, Erik |
collection | PubMed |
description | BACKGROUND: Large efforts have recently been made to automate the sample preparation protocols for massively parallel sequencing in order to match the increasing instrument throughput. Still, the size selection through agarose gel electrophoresis separation is a labor-intensive bottleneck of these protocols. METHODOLOGY/PRINCIPAL FINDINGS: In this study a method for automatic library preparation and size selection on a liquid handling robot is presented. The method utilizes selective precipitation of certain sizes of DNA molecules on to paramagnetic beads for cleanup and selection after standard enzymatic reactions. CONCLUSIONS/SIGNIFICANCE: The method is used to generate libraries for de novo and re-sequencing on the Illumina HiSeq 2000 instrument with a throughput of 12 samples per instrument in approximately 4 hours. The resulting output data show quality scores and pass filter rates comparable to manually prepared samples. The sample size distribution can be adjusted for each application, and are suitable for all high throughput DNA processing protocols seeking to control size intervals. |
format | Text |
id | pubmed-3083417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30834172011-05-17 Large Scale Library Generation for High Throughput Sequencing Borgström, Erik Lundin, Sverker Lundeberg, Joakim PLoS One Research Article BACKGROUND: Large efforts have recently been made to automate the sample preparation protocols for massively parallel sequencing in order to match the increasing instrument throughput. Still, the size selection through agarose gel electrophoresis separation is a labor-intensive bottleneck of these protocols. METHODOLOGY/PRINCIPAL FINDINGS: In this study a method for automatic library preparation and size selection on a liquid handling robot is presented. The method utilizes selective precipitation of certain sizes of DNA molecules on to paramagnetic beads for cleanup and selection after standard enzymatic reactions. CONCLUSIONS/SIGNIFICANCE: The method is used to generate libraries for de novo and re-sequencing on the Illumina HiSeq 2000 instrument with a throughput of 12 samples per instrument in approximately 4 hours. The resulting output data show quality scores and pass filter rates comparable to manually prepared samples. The sample size distribution can be adjusted for each application, and are suitable for all high throughput DNA processing protocols seeking to control size intervals. Public Library of Science 2011-04-27 /pmc/articles/PMC3083417/ /pubmed/21589638 http://dx.doi.org/10.1371/journal.pone.0019119 Text en Borgström 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Borgström, Erik Lundin, Sverker Lundeberg, Joakim Large Scale Library Generation for High Throughput Sequencing |
title | Large Scale Library Generation for High Throughput
Sequencing |
title_full | Large Scale Library Generation for High Throughput
Sequencing |
title_fullStr | Large Scale Library Generation for High Throughput
Sequencing |
title_full_unstemmed | Large Scale Library Generation for High Throughput
Sequencing |
title_short | Large Scale Library Generation for High Throughput
Sequencing |
title_sort | large scale library generation for high throughput
sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3083417/ https://www.ncbi.nlm.nih.gov/pubmed/21589638 http://dx.doi.org/10.1371/journal.pone.0019119 |
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