Tesserae is an intertextual analysis tool for discovering textual parallels in classical literature. It helps scholars find passages where one author may have been influenced by, alluding to, or directly quoting another text. Founded in 2008 by Neil Coffee (Department of Classics) and J. P. Koenig (Department of Linguistics) at the University at Buffalo, SUNY, this is Version 6, a modern reimplementation of the V3 algorithm.
Source: Tesserae V6