Say hello to Dfam1.4

With Dfam, we are striving to build models of repeat families that yield high sensitivity without undue false annotation.  In this release of Dfam, we have improved our model building strategy to reduce the potential for false annotation, especially in the context of overextending alignments around true interspersed repeat instances.

Go to the Xfam blog to read the rest … (Say hello to Dfam1.4.)

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