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The real cost of sequencing: scaling computation to keep pace with data generation
As the cost of sequencing continues to decrease and the amount of sequence data generated grows, new paradigms for data storage and analysis are increasingly important. The relative scaling behavior of these evolving technologies will impact genomics research moving forward.
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806511/ https://www.ncbi.nlm.nih.gov/pubmed/27009100 http://dx.doi.org/10.1186/s13059-016-0917-0 |
| _version_ | 1782423253150597120 |
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| author | Muir, Paul Li, Shantao Lou, Shaoke Wang, Daifeng Spakowicz, Daniel J Salichos, Leonidas Zhang, Jing Weinstock, George M. Isaacs, Farren Rozowsky, Joel Gerstein, Mark |
| author_facet | Muir, Paul Li, Shantao Lou, Shaoke Wang, Daifeng Spakowicz, Daniel J Salichos, Leonidas Zhang, Jing Weinstock, George M. Isaacs, Farren Rozowsky, Joel Gerstein, Mark |
| author_sort | Muir, Paul |
| collection | PubMed |
| description | As the cost of sequencing continues to decrease and the amount of sequence data generated grows, new paradigms for data storage and analysis are increasingly important. The relative scaling behavior of these evolving technologies will impact genomics research moving forward. |
| format | Online Article Text |
| id | pubmed-4806511 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2016 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-48065112016-03-25 The real cost of sequencing: scaling computation to keep pace with data generation Muir, Paul Li, Shantao Lou, Shaoke Wang, Daifeng Spakowicz, Daniel J Salichos, Leonidas Zhang, Jing Weinstock, George M. Isaacs, Farren Rozowsky, Joel Gerstein, Mark Genome Biol Opinion As the cost of sequencing continues to decrease and the amount of sequence data generated grows, new paradigms for data storage and analysis are increasingly important. The relative scaling behavior of these evolving technologies will impact genomics research moving forward. BioMed Central 2016-03-23 /pmc/articles/PMC4806511/ /pubmed/27009100 http://dx.doi.org/10.1186/s13059-016-0917-0 Text en © Muir et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| spellingShingle | Opinion Muir, Paul Li, Shantao Lou, Shaoke Wang, Daifeng Spakowicz, Daniel J Salichos, Leonidas Zhang, Jing Weinstock, George M. Isaacs, Farren Rozowsky, Joel Gerstein, Mark The real cost of sequencing: scaling computation to keep pace with data generation |
| title | The real cost of sequencing: scaling computation to keep pace with data generation |
| title_full | The real cost of sequencing: scaling computation to keep pace with data generation |
| title_fullStr | The real cost of sequencing: scaling computation to keep pace with data generation |
| title_full_unstemmed | The real cost of sequencing: scaling computation to keep pace with data generation |
| title_short | The real cost of sequencing: scaling computation to keep pace with data generation |
| title_sort | real cost of sequencing: scaling computation to keep pace with data generation |
| topic | Opinion |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4806511/ https://www.ncbi.nlm.nih.gov/pubmed/27009100 http://dx.doi.org/10.1186/s13059-016-0917-0 |
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