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Niko Beerenwinkel featured by Stiftung Gen Suisse as researcher of the month – Department of Biosystems Science and Engineering | ETH Zurich
![Advances in understanding tumour evolution through single-cell sequencing – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub. Advances in understanding tumour evolution through single-cell sequencing – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.](https://cyberleninka.org/viewer_images/1485595/f/1.png)
Advances in understanding tumour evolution through single-cell sequencing – topic of research paper in Biological sciences. Download scholarly article PDF and read for free on CyberLeninka open science hub.
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ESR 3: Development of new computational methods for characterisation and analyses of intra-host viral populations – VIROINF
![PDF) The geometry of partial fitness orders and an efficient method for detecting genetic interactions PDF) The geometry of partial fitness orders and an efficient method for detecting genetic interactions](https://i1.rgstatic.net/publication/324998484_The_geometry_of_partial_fitness_orders_and_an_efficient_method_for_detecting_genetic_interactions/links/5fb71b6a458515b7975585b6/largepreview.png)
PDF) The geometry of partial fitness orders and an efficient method for detecting genetic interactions
![All tumours are different - a lecture by Niko Beerenwinkel – Department of Biosystems Science and Engineering | ETH Zurich All tumours are different - a lecture by Niko Beerenwinkel – Department of Biosystems Science and Engineering | ETH Zurich](https://bsse.ethz.ch/bin/ethz/components/previewImage/youtube/M4lSkY7OrBs.jpg)
All tumours are different - a lecture by Niko Beerenwinkel – Department of Biosystems Science and Engineering | ETH Zurich
![D-BSSE, ETH Zurich on Twitter: "Researchers, clinicians, policy makers are united by a vision of how to revolutionise healthcare. Niko Beerenwinkel, head of @cbg_ethz, is a member of the @LifeTimeIni consortium which D-BSSE, ETH Zurich on Twitter: "Researchers, clinicians, policy makers are united by a vision of how to revolutionise healthcare. Niko Beerenwinkel, head of @cbg_ethz, is a member of the @LifeTimeIni consortium which](https://pbs.twimg.com/profile_images/1085171198437351424/rH-liNtc.jpg)
D-BSSE, ETH Zurich on Twitter: "Researchers, clinicians, policy makers are united by a vision of how to revolutionise healthcare. Niko Beerenwinkel, head of @cbg_ethz, is a member of the @LifeTimeIni consortium which
![ESR 7: Generation of datasets for phage-bacterial interactions in complex communities and mutational spectra analysis following exposure to selective pressure – VIROINF ESR 7: Generation of datasets for phage-bacterial interactions in complex communities and mutational spectra analysis following exposure to selective pressure – VIROINF](https://viroinf.eu/wp-content/uploads/2021/06/ESR7-828x1024.png)
ESR 7: Generation of datasets for phage-bacterial interactions in complex communities and mutational spectra analysis following exposure to selective pressure – VIROINF
![Estimating cancer survival and clinical outcome based on genetic tumor progression scores Jörg Rahnenführer 1,*, Niko Beerenwinkel 1,, Wolfgang A. Schulz. - ppt download Estimating cancer survival and clinical outcome based on genetic tumor progression scores Jörg Rahnenführer 1,*, Niko Beerenwinkel 1,, Wolfgang A. Schulz. - ppt download](https://slideplayer.com/6236612/21/images/slide_1.jpg)
Estimating cancer survival and clinical outcome based on genetic tumor progression scores Jörg Rahnenführer 1,*, Niko Beerenwinkel 1,, Wolfgang A. Schulz. - ppt download
![PDF) Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data PDF) Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data](https://i1.rgstatic.net/publication/230843861_Challenges_and_opportunities_in_estimating_viral_genetic_diversity_from_next-generation_sequencing_data/links/09e4150804e91d4c63000000/largepreview.png)
PDF) Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data
![ESR 3: Development of new computational methods for characterisation and analyses of intra-host viral populations – VIROINF ESR 3: Development of new computational methods for characterisation and analyses of intra-host viral populations – VIROINF](https://viroinf.eu/wp-content/uploads/2021/07/Lara_Fuhrmann_landscape-1024x683.jpg)