%0 Journal Article
%T Python for gene expression.
%A Bystrykh L
%A Bystrykh L
%J F1000Res
%V 10
%N 0
%D 2021
%M 35646329
暂无%R 10.12688/f1000research.53842.1
%X Genome biology shows substantial progress in its analytical and computational part in the last decades. Differential gene expression is one of many computationally intense areas; it is largely developed under R programming language. Here we explain possible reasons for such dominance of R in gene expression data. Next, we discuss the prospects for Python to become competitive in this area of research in coming years. We indicate that Python can be used already in a field of a single cell differential gene expression. We pinpoint still missing parts in Python and possibilities for improvement.