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.

Detalles Bibliográficos
Autores principales: Muir, Paul, Li, Shantao, Lou, Shaoke, Wang, Daifeng, Spakowicz, Daniel J, Salichos, Leonidas, Zhang, Jing, Weinstock, George M., Isaacs, Farren, Rozowsky, Joel, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Opinion
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
Descripción
Sumario: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.

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