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Sequencing technology does not eliminate biological variability
RNA sequencing has generated much excitement for the advantages offered over microarrays. This excitement has led to a barrage of publications discounting the importance of biological variability; as microarray publications did in the 1990s. By comparing microarray and sequencing data, we demonstrat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137276/ https://www.ncbi.nlm.nih.gov/pubmed/21747377 http://dx.doi.org/10.1038/nbt.1910 |
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author | Hansen, Kasper D. Wu, Zhijin Irizarry, Rafael A. Leek, Jeffrey T. |
author_facet | Hansen, Kasper D. Wu, Zhijin Irizarry, Rafael A. Leek, Jeffrey T. |
author_sort | Hansen, Kasper D. |
collection | PubMed |
description | RNA sequencing has generated much excitement for the advantages offered over microarrays. This excitement has led to a barrage of publications discounting the importance of biological variability; as microarray publications did in the 1990s. By comparing microarray and sequencing data, we demonstrate that expression measurements exhibit biological variability across individuals irrespective of measurement technology. Our analysis suggests RNA-sequencing experiments designed to estimate biological variability are more likely to produce reproducible results. |
format | Online Article Text |
id | pubmed-3137276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-31372762012-01-11 Sequencing technology does not eliminate biological variability Hansen, Kasper D. Wu, Zhijin Irizarry, Rafael A. Leek, Jeffrey T. Nat Biotechnol Article RNA sequencing has generated much excitement for the advantages offered over microarrays. This excitement has led to a barrage of publications discounting the importance of biological variability; as microarray publications did in the 1990s. By comparing microarray and sequencing data, we demonstrate that expression measurements exhibit biological variability across individuals irrespective of measurement technology. Our analysis suggests RNA-sequencing experiments designed to estimate biological variability are more likely to produce reproducible results. 2011-07-11 /pmc/articles/PMC3137276/ /pubmed/21747377 http://dx.doi.org/10.1038/nbt.1910 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Hansen, Kasper D. Wu, Zhijin Irizarry, Rafael A. Leek, Jeffrey T. Sequencing technology does not eliminate biological variability |
title | Sequencing technology does not eliminate biological variability |
title_full | Sequencing technology does not eliminate biological variability |
title_fullStr | Sequencing technology does not eliminate biological variability |
title_full_unstemmed | Sequencing technology does not eliminate biological variability |
title_short | Sequencing technology does not eliminate biological variability |
title_sort | sequencing technology does not eliminate biological variability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137276/ https://www.ncbi.nlm.nih.gov/pubmed/21747377 http://dx.doi.org/10.1038/nbt.1910 |
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