+ <p>
+ <em>Calculating PCAs for aligned sequences</em><br />Jalview can
+ perform PCA analysis on both proteins and nucleotide sequence
+ alignments. In both cases, components are generated by an eigenvector
+ decomposition of the matrix formed from the sum of substitution matrix
+ scores at each aligned position between each pair of sequences -
+ computed with one of the available score matrices, such as
+ <a href="scorematrices.html#blosum62">BLOSUM62</a>, <a
+ href="scorematrices.html#pam250">PAM250</a>, or the <a
+ href="scorematrices.html#simplenucleotide">simple single
+ nucleotide substitution matrix</a>. The options available for
+ calculation are given in the
+ <strong><em>Change Parameters</em></strong> menu.</p>
+ <p>
+ <em>PCA Calculation modes</em><br/>
+ The default Jalview calculation mode
+ (indicated when <em><strong>Jalview PCA Calculation</strong></em> is
+ ticked in the <strong><em>Change Parameters</em></strong> menu) is to
+ perform a PCA on a matrix where elements in the upper diagonal give
+ the sum of scores for mutating in one direction, and the lower
+ diagonal is the sum of scores for mutating in the other. For protein
+ substitution models like BLOSUM62, this gives an asymmetric matrix,
+ and a different PCA to a matrix produced with the method described in the
+ paper by G. Casari, C. Sander and A. Valencia. Structural Biology
+ volume 2, no. 2, February 1995 (<a
+ href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=7749921">pubmed</a>)
+ and implemented at the SeqSpace server at the EBI. This method
+ preconditions the matrix by multiplying it with its transpose, and can be employed in the PCA viewer by unchecking the <strong><em>Jalview
+ PCA Calculation</em></strong> option in the <strong><em>Change
+ Parameters</em></strong> menu.
+ </p>
+ <img src="pcaviewer.gif">
+ <p><strong>The PCA Viewer</strong></p>