At  single cell level a lot of studies is being carried out for gene expression analysis . There are many biases and artifacts  present in the data and it takes a huge amount  of time and effort to overcome these. Recently, Mc Carthy D.J. et al. have developed a package in R language which carries out normalization, quality control and preprocessing.

                  The package takes the raw  gene expression data and converts it into graphical plots. It also provides a flexible  data structure which can be used with existing graphical tools.

                  The open source code is can be obtained from the following website http://bioconductor.org/packages/scater

Reference:

Davis. J. Mc Carthy et al.(2017) Scater: Preprocessing, quality control, normalization and visualization of single-cell RNA seq-data in R. Bioinformatics 33(8) 1179-1186.

 

 


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