Becoming data-savvy in a big-data world
2014
Xu, Meng | Rhee, Seung Yon
Plant biology is becoming a data-driven science. High-throughput technologies generate data quickly from molecular to ecosystem levels. Statistical and computational approaches enable describing and interpreting data quantitatively. We highlight the purpose, common problems, and general principles in data analysis. We use RNA sequencing (RNAseq) analysis to illustrate the rationale behind some of the choices made in statistical data analysis. Finally, we provide a list of free online resources that emphasize intuition behind quantitative data analysis.
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书目信息
出版者
Springer US
其它主题
Rnaseq analysis
语言
英语
类型
Journal Article; Text
2024-02-28
MODS