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| dc.contributor.author | Alva Kullanja, Vikram | |
| dc.date.accessioned | 2020-04-01T15:06:43Z | |
| dc.date.available | 2020-04-01T15:06:43Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.uri | http://hdl.handle.net/10900/99459 | |
| dc.language.iso | en | en |
| dc.publisher | Nature Publishing Group | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1038/s41598-019-43189-4 | |
| dc.subject.ddc | 500 | de_DE |
| dc.title | PiPred - a deep-learning method for prediction of pi-helices in protein sequences | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20190926111821_01409 | |
| utue.personen.roh | Ludwiczak, Jan | |
| utue.personen.roh | Winski, Aleksander | |
| utue.personen.roh | Neto, Antonio Marinho da Silva | |
| utue.personen.roh | Szczepaniak, Krzysztof | |
| utue.personen.roh | Alva, Vikram | |
| utue.personen.roh | Dunin-Horkawicz, Stanislaw | |
| dcterms.isPartOf.ZSTitelID | Scientific Reports | de_DE |
| dcterms.isPartOf.ZS-Issue | Article 6888 | de_DE |
| dcterms.isPartOf.ZS-Volume | 9 | de_DE |
| utue.fakultaet | Sonstige |
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