The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time point series and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. Any miRNAs with P-value<0.05 are considered statistically significant. The remaining miRNAs which did not fit in linear model are further analyzed in two different methods: (1) if the number of time points <=3, cumulative density function (CDF) of the normal distribution, and (2) if the number of time points is > 3, an analysis of variances (ANOVA) is utilized.
- miRNA Temporal Analyzer
- Normal Quantile Transformation (NQT)
- up to 20 time points
- R package
- easy to run
- graphic HTML interface
- simple output
Be the first to post a review of miRNA Temporal Analyzer (mirnaTA)!