Multi-alignment framework - consider and detect genomic and transcriptomic sequence alignment variability by comparing different techniques

DNA and RNA nucleotide sequences are an ubiquitous element of all biological cells and are serving on one hand as a comprehensive library of capabilities for the cells and on the other as an impressive regulatory system to control cellular function.

The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. So this tool should fill the gap between the minimalistic solutions in service facilities and the less flexible all in one software tools like e.g. Galaxy. The platform enables researcher to apply multiple aligner and further processing tools in flexible combinations to analyze the subtle to remarkable differences between different alignment programs and algorithms applied to the same data basis. This flexibility is supporting sophisticated research concepts and enables to uncover robust and relevant biological results.