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miRNA Temporal Analyzer (mirnaTA): a bioinformatics tool for identifying differentially expressed microRNAs in
Regina Z Cer1, J Enrique Herrera-Galeano1, Joseph J Anderson2
1Biological Defense Research Directorate, Naval Medical Research Center-Frederick, 8400 Research Plaza, Fort Detrick, MD 21702, USA ; Henry M. Jackson Foundation for the Advancement of Military Medicine, 6720-A Rockledge Drive, Suite 100, Bethesda, MD 20817, USA.
A new bioinformatics tool, miRNA Temporal Analyzer (mirnaTA), simplifies the identification of differentially expressed microRNAs (miRNAs) in temporal studies. This open-source package offers intuitive data analysis for researchers, accelerating biological discovery.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- MicroRNA (miRNA) research, especially in cancer, is rapidly expanding, leading to numerous publications.
- While tools for miRNA identification and discovery are advanced, analyzing differential expression in temporal studies remains challenging.
- Existing bioinformatics software often requires significant expertise and time for installation and data interpretation.
Purpose of the Study:
- To develop an accessible bioinformatics tool for analyzing differentially expressed microRNAs (miRNAs) in temporal studies.
- To provide scientists with a user-friendly solution for normalizing raw data, performing statistical analyses, and interpreting results efficiently.
Main Methods:
- Developed miRNA Temporal Analyzer (mirnaTA), a Perl and R-based package compatible with Linux, Mac, and Windows.
- Utilized Normal Quantile Transformation (NQT) for data normalization and linear regression for linear differential expression analysis.
- Employed cumulative distribution function (CDF) and analysis of variances (ANOVA) for non-linear differential expression analysis, followed by heat map visualization.
Main Results:
- mirnaTA analyzes miRNA count data from 2 to 20 time points with up to three replicates.
- Identified statistically significant differentially expressed miRNAs (P < 0.05) using both linear and non-linear methods.
- Generated heat maps with hierarchical cluster analysis and Euclidean distance for intuitive visualization of results.
Conclusions:
- mirnaTA is an open-source bioinformatics tool designed to assist scientists in identifying differentially expressed miRNAs.
- The package facilitates the interpretation of raw data into statistical summaries quickly and intuitively.
- Aids researchers in mining miRNA data for biological significance in temporal studies.
