Carl Herrmann

According to our database, Carl Herrmann authored at least 11 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.

Han Cao, Youcheng Zhang, Jan Baumbach, Paul R. Burton, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz

Bioinform., October, 2022

2020

Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah Wala, Ofer Shapira, Grace Tiao, Henrik Hornshøj, Julian M. Hess, Randi Istrup Juul, Ziao Lin, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, Yosef E. Maruvka, Ciyue Shen, Samirkumar B. Amin, Pratiti Bandopadhayay, Johanna Bertl, Keith A. Boroevich, John Busanovich, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Klev Diamanti, Nuno A. Fonseca, Abel Gonzalez-Perez, Qianyun Guo, Mark P. Hamilton, Nicholas J. Haradhvala, Chen Hong, Keren Isaev, Todd A. Johnson, Malene Juul, André Kahles, Abdullah Kahraman, Youngwook Kim, Jan Komorowski, Kiran Kumar, Sushant Kumar, Donghoon Lee, Kjong-Van Lehmann, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D. Roberts, Gordon Saksena, Steven E. Schumacher, Nikos Sidiropoulos, Lina Sieverling, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, Jose M. C. Tubio, Husen M. Umer, Liis Uusküla-Reimand, Claes Wadelius, Lina Wadi, Xiaotong Yao, Cheng-Zhong Zhang, Jing Zhang, James E. Haber, Asger Hobolth, Marcin Imielinski, Manolis Kellis, Michael S. Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J. Raphael, Mark A. Rubin, Chris Sander, Lincoln D. Stein, Joshua M. Stuart, Tatsuhiko Tsunoda, David A. Wheeler, Rory Johnson, Jüri Reimand, Mark Gerstein, Ekta Khurana, Peter J. Campbell, Núria López-Bigas, Gary D. Bader, Jonathan Barenboim, Rameen Beroukhim, Søren Brunak, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, J. Lynn Fink, Joan Frigola, Carlo Gambacorti Passerini, Dale W. Garsed, Gad Getz, Ivo Glynne Gut, David Haan, Arif Ozgun Harmanci, Mohamed Helmy, Ermin Hodzic, José M. G. Izarzugaza, Jong K. Kim, Jan O. Korbel, Erik Larsson, Shantao Li, Xiaotong Li, Shaoke Lou, Kathleen Marchal, Iñigo Martincorena, Alexander Martínez-Fundichely, Patrick D. McGillivray, William Meyerson, Ferran Muiños, Marta Paczkowska, Kiejung Park, Jakob Skou Pedersen, Tirso Pons, Sergio Pulido-Tamayo, Iker Reyes-Salazar, Matthew A. Reyna, Carlota Rubio-Perez, Süleyman Cenk Sahinalp, Leonidas Salichos, Mark Shackleton, Raunak Shrestha, Alfonso Valencia, Miguel Vazquez, Lieven P. C. Verbeke, Jiayin Wang, Jonathan Warrell, Sebastian M. Waszak, Joachim Weischenfeldt, Guanming Wu, Jun Yu, Xuanping Zhang, Yan Zhang, Zhongming Zhao, Lihua Zou, Kadir C. Akdemir, Eva G. Alvarez, Adrian Baez-Ortega, Paul C. Boutros, David D. L. Bowtell, Benedikt Brors, Kathleen H. Burns, Kin Chan, Isidro Cortés-Ciriano, Ana Dueso-Barroso, Andrew J. Dunford, Paul A. Edwards, Xavier Estivill, Dariush Etemadmoghadam, Milana Frenkel-Morgenstern, Dmitry A. Gordenin, Barbara Hutter, David T. W. Jones, Young Seok Ju, Marat D. Kazanov, Leszek J. Klimczak, Youngil Koh, Eunjung Alice Lee, Jake June-Koo Lee, Andy G. Lynch, Geoff MacIntyre, Florian Markowetz, Matthew Meyerson, Satoru Miyano, Fabio C. P. Navarro, Stephan Ossowski, Peter J. Park, John V. Pearson, Montserrat Puiggròs, Karsten Rippe, Steven A. Roberts, Bernardo Rodriguez-Martin, Ralph Scully, David Torrents, Izar Villasante, Nicola Waddell, Jeremiah A. Wala, Lixing Yang, Sung-Soo Yoon, Jorge Zamora

Nat., 2020

2017

Identifying Personal DNA Methylation Profiles by Genotype Inference.

Michael Backes, Pascal Berrang, Matthias Bieg, Roland Eils, Carl Herrmann, Mathias Humbert, Irina Lehmann

Proceedings of the 2017 IEEE Symposium on Security and Privacy, 2017

2016

LedPred: an R/bioconductor package to predict regulatory sequences using support vector machines.

Denis Seyres, Elodie Darbo, Laurent Perrin, Carl Herrmann, Aitor González

Bioinform., 2016

A comprehensive comparison of tools for differential ChIP-seq analysis.

Sebastian Steinhauser, Nils Kurzawa, Roland Eils, Carl Herrmann

Briefings Bioinform., 2016

2015

MapMyFlu: visualizing spatio-temporal relationships between related influenza sequences.

Nicholas Nolte, Nils Kurzawa, Roland Eils, Carl Herrmann

Nucleic Acids Res., 2015

RSAT 2015: Regulatory Sequence Analysis Tools.

Alejandra Medina-Rivera, Matthieu Defrance, Olivier Sand, Carl Herrmann, Jaime Abraham Castro-Mondragón, Jeremy Delerce, Sébastien Jaeger, Christophe Blanchet, Pierre Vincens, Christophe Caron, Daniel M. Staines, Bruno Contreras-Moreira, Marie Artufel, Lucie Charbonnier-Khamvongsa, Céline Hernandez, Denis Thieffry, Morgane Thomas-Chollier, Jacques van Helden

Nucleic Acids Res., 2015

2011

RSAT 2011: regulatory sequence analysis tools.

Morgane Thomas-Chollier, Matthieu Defrance, Alejandra Medina-Rivera, Olivier Sand, Carl Herrmann, Denis Thieffry, Jacques van Helden

Nucleic Acids Res., 2011

2009

SimCT: a generic tool to visualize ontology-based relationships for biological objects.

Carl Herrmann, Sèverine Bérard, Laurent Tichit

Bioinform., 2009

2005

Ab initio identification of putative human transcription factor binding sites by comparative genomics.

Davide Corà, Carl Herrmann, Christoph Dieterich, Ferdinando Di Cunto, Paolo Provero, Michele Caselle

BMC Bioinform., 2005

2004

Clustering proteins from interaction networks for the prediction of cellular functions.

Marie-Christine Brun, Carl Herrmann, Alain Guénoche

BMC Bioinform., 2004