Sequence clustering with PaSiMap in Jalview
Thomas Morell, James B ProcteriD, Geoffrey J. BartoniD, Kay DiederichsiD, Olga M. MayansiD, Jennifer R. FlemingiD
Abstract
Pairwise similarity mapping, implemented in the software PaSiMap, can be used as an alternative to principal component analysis (PCA) to analyse protein-sequence relationships. It provides the advantage of distinguishing between systematic and random differences in the dataset. Here, we present a protocol to use PaSiMap inside Jalview. You will be guided through the installation and use of the required software. Furthermore, we present an R script to prepare publication-ready graphs of the obtained data and aid in the subsequent data analysis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=195 SRC="FIGDIR/small/621149v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1daf3d2org.highwire.dtl.DTLVardef@1bd82cborg.highwire.dtl.DTLVardef@d60c7aorg.highwire.dtl.DTLVardef@cd5a89_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
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