Current Year
1. Fischer J, Schulz MH: Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data. Bioinformatics 2023, 39.
Export
BibTeX
@article{Fischer23,
TITLE = {Efficiently quantifying {DNA} methylation for bulk- and single-cell bisulfite data},
AUTHOR = {Fischer, Jonas and Schulz, Marcel Holger},
LANGUAGE = {eng},
ISSN = {1367-4803},
DOI = {10.1093/bioinformatics/btad386},
PUBLISHER = {Oxford University Press},
ADDRESS = {Oxford},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
JOURNAL = {Bioinformatics},
VOLUME = {39},
NUMBER = {6},
EID = {btad386},
}
Endnote
%0 Journal Article
%A Fischer, Jonas
%A Schulz, Marcel Holger
%+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
External Organizations
%T Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data :
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-6C74-8
%R 10.1093/bioinformatics/btad386
%2 PMC10310462
%7 2023
%D 2023
%J Bioinformatics
%V 39
%N 6
%Z sequence number: btad386
%I Oxford University Press
%C Oxford
%@ false
2. Grau J, Schmidt F, Schulz MH: Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models. Nucleic Acids Research 2023, 51.
Export
BibTeX
@article{Grau23,
TITLE = {Widespread effects of {DNA} methylation and intra-motif dependencies revealed by novel transcription factor binding models},
AUTHOR = {Grau, Jan and Schmidt, Florian and Schulz, Marcel Holger},
LANGUAGE = {eng},
ISSN = {0305-1048},
DOI = {10.1093/nar/gkad693},
PUBLISHER = {Oxford University Press},
ADDRESS = {Oxford},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
JOURNAL = {Nucleic Acids Research},
VOLUME = {51},
NUMBER = {18},
EID = {e95},
}
Endnote
%0 Journal Article
%A Grau, Jan
%A Schmidt, Florian
%A Schulz, Marcel Holger
%+ External Organizations
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
%T Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models :
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-E9B5-0
%R 10.1093/nar/gkad693
%2 PMC10570048
%7 2023
%D 2023
%J Nucleic Acids Research
%O Nucleic Acids Res
%V 51
%N 18
%Z sequence number: e95
%I Oxford University Press
%C Oxford
%@ false
3. Hake A: Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning. Universität des Saarlandes; 2023.
Export
BibTeX
@phdthesis{Hake_PhD2023,
TITLE = {Predicting and analyzing {HIV}-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning},
AUTHOR = {Hake, Anna},
LANGUAGE = {eng},
URL = {urn:nbn:de:bsz:291--ds-395323},
DOI = {10.22028/D291-39532},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
}
Endnote
%0 Thesis
%A Hake, Anna
%Y Pfeifer, Nico
%A referee: Kalinina, Olga V.
%+ Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
%T Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using machine learning :
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-10E8-B
%R 10.22028/D291-39532
%U urn:nbn:de:bsz:291--ds-395323
%F OTHER: hdl:20.500.11880/35743
%I Universität des Saarlandes
%C Saarbrücken
%D 2023
%P xv; 210 p
%V phd
%9 phd
%U https://scidok.sulb.uni-saarland.de/handle/20.500.11880/35743
4. Maji RK, Czepukojc B, Scherer M, Tierling S, Cadenas C, Gianmoena K, Gasparoni N, Nordström K, Gasparoni G, Laggai S, Yang X, Sinha A, Ebert P, Falk-Paulsen M, Kinkley S, Hoppstädter J, Chung H-R, Rosenstiel P, Hengstler JG, Walter J, Schulz MH, Kessler SM, Kiemer AK: Alterations in the Hepatocyte Epigenetic Landscape in Steatosis. Epigenetics & Chromatin 2023, 16.
Export
BibTeX
@article{Maji23,
TITLE = {Alterations in the Hepatocyte Epigenetic Landscape in Steatosis},
AUTHOR = {Maji, Ranjan Kumar and Czepukojc, Beate and Scherer, Michael and Tierling, Sascha and Cadenas, Cristina and Gianmoena, Kathrin and Gasparoni, Nina and Nordstr{\"o}m, Karl and Gasparoni, Gilles and Laggai, Stephan and Yang, Xinyi and Sinha, Anupam and Ebert, Peter and Falk-Paulsen, Maren and Kinkley, Sarah and Hoppst{\"a}dter, Jessica and Chung, Ho-Ryun and Rosenstiel, Philip and Hengstler, Jan G. and Walter, J{\"o}rn and Schulz, Marcel Holger and Kessler, Sonja M. and Kiemer, Alexandra K.},
LANGUAGE = {eng},
DOI = {10.1186/s13072-023-00504-8},
PUBLISHER = {BioMed Central},
ADDRESS = {London},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
JOURNAL = {Epigenetics \& Chromatin},
VOLUME = {16},
EID = {30},
}
Endnote
%0 Journal Article
%A Maji, Ranjan Kumar
%A Czepukojc, Beate
%A Scherer, Michael
%A Tierling, Sascha
%A Cadenas, Cristina
%A Gianmoena, Kathrin
%A Gasparoni, Nina
%A Nordström, Karl
%A Gasparoni, Gilles
%A Laggai, Stephan
%A Yang, Xinyi
%A Sinha, Anupam
%A Ebert, Peter
%A Falk-Paulsen, Maren
%A Kinkley, Sarah
%A Hoppstädter, Jessica
%A Chung, Ho-Ryun
%A Rosenstiel, Philip
%A Hengstler, Jan G.
%A Walter, Jörn
%A Schulz, Marcel Holger
%A Kessler, Sonja M.
%A Kiemer, Alexandra K.
%+ External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
External Organizations
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
%T Alterations in the Hepatocyte Epigenetic Landscape in Steatosis :
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-943A-B
%R 10.1186/s13072-023-00504-8
%2 PMC10324225
%7 2023
%D 2023
%J Epigenetics & Chromatin
%V 16
%Z sequence number: 30
%I BioMed Central
%C London