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 either with <a href="scorematrices.html#blosum62">BLOSUM62</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.<br />
- Jalview allows two types of PCA calculation. The default <em><strong>Jalview
- PCA Calculation</strong></em> mode (indicated when that option is ticked in the <strong><em>Change
- Parameters</em></strong> menu) of the viewer performs 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 one 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
+ 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.<br /> Jalview allows
+ two types of PCA calculation. The default
+ <em><strong>Jalview PCA Calculation</strong></em> mode (indicated when
+ that option is ticked in the
+ <strong><em>Change Parameters</em></strong> menu) of the viewer
+ performs 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 one 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. The original method
preconditions the matrix by multiplying it with its transpose, and
- this mode is enabled by unchecking the <strong><em>Jalview
- PCA Calculation</em></strong> option in the <strong><em>Change
- Parameters</em></strong> menu.
+ this mode is enabled 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>
<p>
<em>The output of points and transformed point coordinates was added to the Jalview desktop in v2.7.</em>
<em>The Reset button and Change Parameters menu were added in Jalview 2.8.</em>
+<em>Support for PAM250 based PCA was added in Jalview 2.8.1.</em>
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