测序的实际成本：扩展计算能力以跟上数据生成的步伐。
The real cost of sequencing: scaling computation to keep pace with data generation.
作者信息
Muir Paul, Li Shantao, Lou Shaoke, Wang Daifeng, Spakowicz Daniel J, Salichos Leonidas, Zhang Jing, Weinstock George M, Isaacs Farren, Rozowsky Joel, Gerstein Mark
机构信息
Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, 06520, USA.
Systems Biology Institute, Yale University, West Haven, CT, 06516, USA.
出版信息
Genome Biol. 2016 Mar 23;17:53. doi: 10.1186/s13059-016-0917-0.
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.
随着测序成本持续下降以及所产生的序列数据量不断增加，数据存储和分析的新范式变得越来越重要。这些不断发展的技术的相对缩放行为将影响未来的基因组学研究。
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