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Predictive analyses of regulatory sequences with EUGENe - Nature Computational Science

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Predictive analyses of regulatory sequences with EUGENe - Nature Computational Science

Deep learning has become a popular tool to study cis-regulatory function. Yet efforts to design software for deep-learning analyses in regulatory genomics that are findable, accessible, interoperable and reusable (FAIR) have fallen short of fully meeting these criteria. Here we present elucidating the utility of genomic elements with neural nets (EUGENe), a FAIR toolkit for the analysis of genomic sequences with deep learning.

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Predictive analyses of regulatory sequences with EUGENe - Nature Computational Science

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Predictive analyses of regulatory sequences with EUGENe - Nature Computational Science

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