SEWAL (Sequence Evolution With Adaptive Landscapes) is an open source tools for next generation DNA sequencing analysis and visualization. SEWAL provides a new platform for DNA sequence analysis and visualization of large data sets generated by massive sequencing to perform functional in vitro genetics. The visualization incorporates the underlying LSH information in a visually intuitive manner to generate mutant spectra. When the differences in these plots resulting from altered selective pressures are visualized, they can represent projections of the hyperdimensional fitness landscape, if the frequency of the sequences has been demonstrated to correlate with phenotypic fitness
Pitt (firstname.lastname@example.org), Rajapakse, and Ferre-D’Amare HHMI FHCRC
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Nucleic Acids Res. 2010 Dec;38(22):7908-15. Epub 2010 Aug 6.
SEWAL: an open-source platform for next-generation sequence analysis and visualization.
Pitt JN, Rajapakse I, Ferré-D’Amaré AR.