Meng Xu and Seung Yon Rhee*
Carnegie Institution for Science, Department of Plant Biology, 260 Panama Street, Stanford CA 94305, USA
*Corresponding author: Seung Yon Rhee
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.
Keywords: statistics, data analysis, big data, RNAseq analysis