Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Florian Seefried"'
Autor:
Florian Seefried, Tobias Schmidt, Mathias Wilhelm, Stephanie Heinzlmeir, Bernhard Kuster, Maria Reinecke
Publikováno v:
Journal of Proteome Research. 18:1486-1493
Despite the increasing use of high-throughput experiments in molecular biology, methods for evaluating and classifying the acquired results have not kept pace, requiring significant manual efforts to do so. Here, we present CiRCus, a framework to gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2104784a2e7772cc377c3d6abb680e2
https://doi.org/10.1021/acs.jproteome.8b00724
https://doi.org/10.1021/acs.jproteome.8b00724
Autor:
Carmen Paschke, Magnus Rathke-Kuhnert, Bernard Delanghe, Daniel P Zolg, Siegfried Gessulat, Florian Seefried, Martin Frejno, Daniel Lopez-Ferrer, Christoph Henrich, Kai Fitzemeier, Michael Graber, Andreas Huhmer, David Horn, Frank Berg
Publikováno v:
Rapid Communications in Mass Spectrometry.
Database search engines for bottom-up proteomics largely ignore peptide fragment ion intensities during the automated scoring of tandem mass spectra against protein databases. Recent advances in deep learning allow the accurate prediction of peptide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d73628c04c618e330729270a5d720ae
https://doi.org/10.1002/rcm.9128
https://doi.org/10.1002/rcm.9128
Autor:
Andreas Huhmer, Carmen Paschke, Bernard Delanghe, Florian Seefried, Siegfried Gessulat, Daniel P Zolg, Michael Graber, Magnus Rathke-Kuhnert, Christoph Henrich, Daniel Lopez-Ferrer, Kai Fitzemeier, Martin Frejno, David M Horn, Frank Berg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52740b13e2911f915267b2b4c02cb89b
https://doi.org/10.1002/rcm.9128/v2/response1
https://doi.org/10.1002/rcm.9128/v2/response1
