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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

PDF) PyBDA: a command line tool for automated analysis of big biological  data sets
PDF) PyBDA: a command line tool for automated analysis of big biological data sets

Pejman Mohammadi, Niko Beerenwinkel, Yaakov Benenson Cell Systems - ppt  download
Pejman Mohammadi, Niko Beerenwinkel, Yaakov Benenson Cell Systems - ppt download

PDF) Bioinformatics for precision oncology
PDF) Bioinformatics for precision oncology

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

People working in Research Group Computational Biology
People working in Research Group Computational Biology

PDF) Single-cell mutation identification via phylogenetic inference
PDF) Single-cell mutation identification via phylogenetic inference

Learning Multiple Evolutionary Pathways from Cross-sectional Data Niko  Beerenwinkel, Jorg Rahnenfuhrer, Martin Daumer, Daniel Hoffmann,Rolf  Kaiser, Joachim. - ppt download
Learning Multiple Evolutionary Pathways from Cross-sectional Data Niko Beerenwinkel, Jorg Rahnenfuhrer, Martin Daumer, Daniel Hoffmann,Rolf Kaiser, Joachim. - ppt download

Niko Beerenwinkel - Wikipedia
Niko Beerenwinkel - Wikipedia

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

CBG, ETH Zurich (@cbg_ethz) / Twitter
CBG, ETH Zurich (@cbg_ethz) / Twitter

Event: D-BSSE meets Alumni 2017 – Alumni | ETH Zurich
Event: D-BSSE meets Alumni 2017 – Alumni | ETH Zurich

Scientist-in-Charge – VIROINF
Scientist-in-Charge – VIROINF

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

PeerJ - Profile - Stephanie Hicks
PeerJ - Profile - Stephanie Hicks

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.

VIROINF (@viroinf) / Twitter
VIROINF (@viroinf) / Twitter

Epistasis and Shapes of Fitness Landscapes Niko Beerenwinkel, Lior Pachter,  Bernd Sturmfels Department of Mathematics University of California at  Berkeley. - ppt download
Epistasis and Shapes of Fitness Landscapes Niko Beerenwinkel, Lior Pachter, Bernd Sturmfels Department of Mathematics University of California at Berkeley. - ppt download

Loop | Niko Beerenwinkel
Loop | Niko Beerenwinkel

Computable Cancer
Computable Cancer

Niko Beerenwinkel | VIB Conferences
Niko Beerenwinkel | VIB Conferences

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

Niko Beerenwinkel featured by Stiftung Gen Suisse as researcher of the  month – Department of Biosystems Science and Engineering | ETH Zurich
Niko Beerenwinkel featured by Stiftung Gen Suisse as researcher of the month – Department of Biosystems Science and Engineering | ETH Zurich

European Lab for Learning & Intelligent Systems
European Lab for Learning & Intelligent Systems