X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;ds=inline;f=help%2Fhtml%2FwebServices%2Fjnet.html;h=7a6015ac42278b5957462b8fda3c1eda45c009c6;hb=83b541e967d19e6aeb5b02f476a77399f5f79d22;hp=feefe77f28b5d4dc5245417d363f6f45621723af;hpb=c29c0a190d8095d8a0c646a59447cadaa2a5af55;p=jalview.git
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Secondary structure prediction methods attempts to infer the likely secondary
structure for a protein based on its amino acid composition and
similarity to sequences with known secondary structure. The JNet
-method uses several different prediction methods and decides on the
+method uses several different neural networks and decides on the
most likely prediction via a jury network.
Note: JNet secondary structure prediction is a + 'non-column-separable' service - predictions are based on the + sequence profile of contiguous stretches of amino-acid sequence. This + means that all columns of the alignment, or selection will be submitted + for prediction, not just the visible ones (see hiding columns).
The result of a JNet prediction for a sequence is a new annotated alignment window: