Search Results for "factor analysis"

Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.

Sets of colour-coded design templates for varying number of factors and replicates are included covering full factorial, and fractional factorial designs. An Excel-spreadsheet tool steps the user through specifying factor names and entering the design and data from the experiment. The tool deconvolutes the data into a matrix which can be pasted into data visualisation and / or data analysis software.