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Study Design for Sequencing Studies.
Honaas, Loren A; Altman, Naomi S; Krzywinski, Martin.
Afiliación
  • Honaas LA; Department of Biology, The Pennsylvania State University, USDA ARS, Tree Fruit Res Lab, 1104 N Western Ave, Wenatchee, WA, 98801, USA.
  • Altman NS; Department of Statistics and Huck Institutes of Life Sciences, The Pennsylvania State University, 312 Thomas Building, University Park, PA, 16802-2111, USA. nsa1@psu.edu.
  • Krzywinski M; Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada.
Methods Mol Biol ; 1418: 39-66, 2016.
Article en En | MEDLINE | ID: mdl-27008009
Once a biochemical method has been devised to sample RNA or DNA of interest, sequencing can be used to identify the sampled molecules with high fidelity and low bias. High-throughput sequencing has therefore become the primary data acquisition method for many genomics studies and is being used more and more to address molecular biology questions. By applying principles of statistical experimental design, sequencing experiments can be made more sensitive to the effects under study as well as more biologically sound, hence more replicable.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Análisis de Secuencia / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Análisis de Secuencia / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos
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