The real research and struggle begins when the pipeline is complete. The results obtained from the pipeline are to be processed, normalized and then analyzed to interpret biological insights. It is important to understand and have good understanding with hands-on practise to analyse the result well. 

From normalizing the data, processing, to carrying out statistical analysis, data has to be analyzed precisely for accurate interpretation. The various steps that are followed for an accurate interpretation include: Data preparation for downstream analysis (log transformation, quantile normalization) Exploratory analysis (Principle component analysis of gene expression data), statistical tests, differential gene expression, factor regression etc. 

To get hands-on for each of the analytical steps, follow transcriptomics lessons on OmicsLogic Portal