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A deep learning genome-mining strategy for biosynthetic gen..:
Hannigan, Geoffrey D
;
Prihoda, David
;
Palicka, Andrej
...
Nucleic Acids Research. 47 (2019) 18 - p. e110-e110 , 2019
Link:
https://doi.org/10.1093/nar/gkz654
RT Journal T1
A deep learning genome-mining strategy for biosynthetic gene cluster prediction
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_nar_gkz654&Exemplar=1&LAN=DE A1 Hannigan, Geoffrey D A1 Prihoda, David A1 Palicka, Andrej A1 Soukup, Jindrich A1 Klempir, Ondrej A1 Rampula, Lena A1 Durcak, Jindrich A1 Wurst, Michael A1 Kotowski, Jakub A1 Chang, Dan A1 Wang, Rurun A1 Piizzi, Grazia A1 Temesi, Gergely A1 Hazuda, Daria J A1 Woelk, Christopher H A1 Bitton, Danny A PB Oxford University Press (OUP) YR 2019 SN 0305-1048 SN 1362-4962 JF Nucleic Acids Research VO 47 IS 18 SP e110 OP e110 LK http://dx.doi.org/https://doi.org/10.1093/nar/gkz654 DO https://doi.org/10.1093/nar/gkz654 SF ELIB - SuUB Bremen
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