Total sentences and entries.

<p>The total number of sentences and entries in (A) Swiss-Prot and (B) TrEMBL.</p

Visualising sentence propagation.

<p>Visualisation for the sentence “the active-site selenocysteine is encoded by the opal codon, uga (by similarity).”</p

Average sentences per entry.

<p>The number of sentences that appear, on average, in each entry in TrEMBL and Swiss-Prot (i.e. the total number of sentences divided by the total number of entries).</p

Visualising sentence propagation.

<p>Visualising the propagation of the sentence “may have an essential function in lipopolysaccharides biosynthesis.” through the database.</p

Singleton sentences.

<p>The number of singleton sentences in Swiss-Prot and TrEMBL and (B) the percentage of singleton sentences in Swiss-Prot and TrEMBL.</p

Classification of sentences over 20 characters in length.

<p>The classification results of the 65 sentences analysed, controlling for sentence length bias (i.e. every 100th sentence over 20 characters in length).</p

Sentence classification results.

<p>The classification results for all of the analysed sentences (122 in total).</p

Visualising sentence occurrences.

<p>The number of UniProtKB entries that the sentence “the active-site selenocysteine is encoded by the opal codon, uga.” appears in over time.</p

Showing the distribution of sentence reuse through Swiss-Prot and TrEMBL.

<p>(A) Swiss-Prot Version 9 (B) UniProtKB/Swiss-Prot Version 2012_05 (C) TrEMBL Version 1 (D) UniProtKB/TrEMBL Version 2012_05. As an example, in Figure A, the bottom right point states that there is ∼5000 sentences that occur a single time, whilst the top-left-most point indicates that there is one sentence that occurs ∼125 times.</p

Average Entries Per Sentence.

<p>Graph showing the average number of entries that each sentence appears in for (A) Swiss-Prot and (B) TrEMBL.</p