X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=help%2Fhtml%2Fcalculations%2Fpca.html;h=5b76d109f29cb9c03024a5b6a9aa572932579ff6;hb=904d2d844982ac214ff989516b10d3e4ea01a842;hp=0104078be6e66707cb67fe623f80be11858d150f;hpb=cbd3af30e8479bf3dbf8b269da3772fa952f17d2;p=jalview.git diff --git a/help/html/calculations/pca.html b/help/html/calculations/pca.html index 0104078..5b76d10 100755 --- a/help/html/calculations/pca.html +++ b/help/html/calculations/pca.html @@ -60,15 +60,15 @@ Calculating PCAs for aligned sequences
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 BLOSUM62, + eigenvector decomposition of the matrix formed from pairwise similarity + scores between each pair of sequences. The similarity score model is + selected on the calculations dialog, and + may use one of the available score matrices, such as + BLOSUM62, PAM250, or the simple single - nucleotide substitution matrix. The options available for - calculation are given in the Change - Parameters menu. + nucleotide substitution matrix, or by sequence percentage identity, + or sequence feature similarity.