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Gisela Gabernet

Showing results (1-10 of 40) with videos related to

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Biorxiv : the Preprint Server for Biology|April 8, 2025
AMULETY: A Python package to embed adaptive immune receptor sequencesMeng Wang, Yuval Kluger, Steven H Kleinstein, et al.
NAR Genomics and Bioinformatics|March 8, 2024
How tool combinations in different pipeline versions affect the outcome in RNA-seq analysisLouisa Wessels Perelo, Gisela Gabernet, Daniel Straub, et al.
Bioinformatics (Oxford, England)|May 5, 2017
modlAMP: Python for antimicrobial peptidesAlex T Müller, Gisela Gabernet, Jan A Hiss, et al.
NAR Genomics and Bioinformatics|February 4, 2022
nf-core/mag: a best-practice pipeline for metagenome hybrid assembly and binningSabrina Krakau, Daniel Straub, Hadrien Gourlé, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Next Generation Sequencing of Cerebrospinal Fluid B Cell Repertoires in Multiple Sclerosis and Other Neuro-Inflammatory Diseases-A Comprehensive ReviewChristoph Ruschil, Constanze Louisa Kemmerer, Lena Beller, et al.
Chemmedchem|April 22, 2018
Designing Anticancer Peptides by Constructive Machine LearningFrancesca Grisoni, Claudia S Neuhaus, Gisela Gabernet, et al.
Angewandte Chemie (International Ed. in English)|December 4, 2018
Simulated Molecular Evolution for Anticancer Peptide DesignClaudia S Neuhaus, Gisela Gabernet, Christian Steuer, et al.
Journal of Molecular Modeling|April 7, 2019
De novo design of anticancer peptides by ensemble artificial neural networksFrancesca Grisoni, Claudia S Neuhaus, Miyabi Hishinuma, et al.
Molecular Informatics|November 22, 2016
Sparse Neural Network Models of Antimicrobial Peptide-Activity RelationshipsAlex T Müller, Aral C Kaymaz, Gisela Gabernet, et al.
Bioinformatics (Oxford, England)|April 2, 2023
mlf-core: a framework for deterministic machine learningLukas Heumos, Philipp Ehmele, Luis Kuhn Cuellar, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Biorxiv : the Preprint Server for Biology|April 8, 2025
AMULETY: A Python package to embed adaptive immune receptor sequencesMeng Wang, Yuval Kluger, Steven H Kleinstein, et al.
NAR Genomics and Bioinformatics|March 8, 2024
How tool combinations in different pipeline versions affect the outcome in RNA-seq analysisLouisa Wessels Perelo, Gisela Gabernet, Daniel Straub, et al.
Bioinformatics (Oxford, England)|May 5, 2017
modlAMP: Python for antimicrobial peptidesAlex T Müller, Gisela Gabernet, Jan A Hiss, et al.
NAR Genomics and Bioinformatics|February 4, 2022
nf-core/mag: a best-practice pipeline for metagenome hybrid assembly and binningSabrina Krakau, Daniel Straub, Hadrien Gourlé, et al.
Diagnostics (Basel, Switzerland)|October 23, 2021
Next Generation Sequencing of Cerebrospinal Fluid B Cell Repertoires in Multiple Sclerosis and Other Neuro-Inflammatory Diseases-A Comprehensive ReviewChristoph Ruschil, Constanze Louisa Kemmerer, Lena Beller, et al.
Chemmedchem|April 22, 2018
Designing Anticancer Peptides by Constructive Machine LearningFrancesca Grisoni, Claudia S Neuhaus, Gisela Gabernet, et al.
Angewandte Chemie (International Ed. in English)|December 4, 2018
Simulated Molecular Evolution for Anticancer Peptide DesignClaudia S Neuhaus, Gisela Gabernet, Christian Steuer, et al.
Journal of Molecular Modeling|April 7, 2019
De novo design of anticancer peptides by ensemble artificial neural networksFrancesca Grisoni, Claudia S Neuhaus, Miyabi Hishinuma, et al.
Molecular Informatics|November 22, 2016
Sparse Neural Network Models of Antimicrobial Peptide-Activity RelationshipsAlex T Müller, Aral C Kaymaz, Gisela Gabernet, et al.
Bioinformatics (Oxford, England)|April 2, 2023
mlf-core: a framework for deterministic machine learningLukas Heumos, Philipp Ehmele, Luis Kuhn Cuellar, et al.
Pageof 4