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Thomas Beder

Showing results (1-10 of 31) with videos related to

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BMC Genomics|August 3, 2018
Virulence-related comparative transcriptomics of infectious and non-infectious chlamydial particlesThomas Beder, Hans Peter Saluz
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Journal of Microbiological Methods|July 6, 2016
Purification of infectious and non-infectious chlamydial particles using iodixanol for density gradient preparationThomas Beder, Mareike Thea Scheven, Dominique Praetzsch, et al.
Computational and Structural Biotechnology Journal|September 2, 2021
Predicting host dependency factors of pathogens in <i>Drosophila melanogaster</i> using machine learningOlufemi Aromolaran, Thomas Beder, Eunice Adedeji, et al.
Haematologica|July 17, 2025
Long non-coding RNA LINC00926 is a biomarker for naïve B-cells with prognostic value in advanced stage classic Hodgkin LymphomaIngram Iaccarino, Thomas Beder, Sarah Reinke, et al.
Parasites & Vectors|September 11, 2020
Anopheles metabolic proteins in malaria transmission, prevention and control: a reviewEunice Oluwatobiloba Adedeji, Olubanke Olujoke Ogunlana, Segun Fatumo, et al.
NAR Genomics and Bioinformatics|December 3, 2021
Identifying essential genes across eukaryotes by machine learningThomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
Plos One|July 5, 2024
Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector controlEunice O Adedeji, Thomas Beder, Claudia Damiani, et al.
Plos One|March 27, 2025
Correction: Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector controlEunice O Adedeji, Thomas Beder, Claudia Damiani, et al.
Frontiers in Microbiology|June 21, 2023
Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviralMaximilian A Kelch, Antonella Vera-Guapi, Thomas Beder, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
BMC Genomics|August 3, 2018
Virulence-related comparative transcriptomics of infectious and non-infectious chlamydial particlesThomas Beder, Hans Peter Saluz
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Journal of Microbiological Methods|July 6, 2016
Purification of infectious and non-infectious chlamydial particles using iodixanol for density gradient preparationThomas Beder, Mareike Thea Scheven, Dominique Praetzsch, et al.
Computational and Structural Biotechnology Journal|September 2, 2021
Predicting host dependency factors of pathogens in <i>Drosophila melanogaster</i> using machine learningOlufemi Aromolaran, Thomas Beder, Eunice Adedeji, et al.
Haematologica|July 17, 2025
Long non-coding RNA LINC00926 is a biomarker for naïve B-cells with prognostic value in advanced stage classic Hodgkin LymphomaIngram Iaccarino, Thomas Beder, Sarah Reinke, et al.
Parasites & Vectors|September 11, 2020
Anopheles metabolic proteins in malaria transmission, prevention and control: a reviewEunice Oluwatobiloba Adedeji, Olubanke Olujoke Ogunlana, Segun Fatumo, et al.
NAR Genomics and Bioinformatics|December 3, 2021
Identifying essential genes across eukaryotes by machine learningThomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
Plos One|July 5, 2024
Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector controlEunice O Adedeji, Thomas Beder, Claudia Damiani, et al.
Plos One|March 27, 2025
Correction: Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector controlEunice O Adedeji, Thomas Beder, Claudia Damiani, et al.
Frontiers in Microbiology|June 21, 2023
Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviralMaximilian A Kelch, Antonella Vera-Guapi, Thomas Beder, et al.
Pageof 4