• Homepage
  • Navigation
  • Search
  • Content
  • Footer
  • Contact
  • Sitemap

Computational Biology Group

Main Navigation

  • News
    • NewsSee overview
    • 2021
      • 06
      • 10
    • 2022
      • 01
      • 05
      • 07
      • 08
      • 09
      • 11
      • 12
      • add Display all
    • 2023
      • 01
      • 03
      • 04
      • 06
      • 08
      • add Display all
    • 2024
      • 03
      • 05
      • 08
      • 10
      • 12
      • add Display all
    • 2025
      • 06
  • Group
    • GroupSee overview
    • People
    • Open Positions
    • Alumni
  • Teaching
    • TeachingSee overview
    • Research and Thesis Projects
    • Statistical Models in Computational Biology
    • Evolutionary Dynamics
    • Bioinformatics
    • Introduction to Statistics and R
  • Research
  • Publications
    • PublicationsSee overview
    • PhD Theses
    • Master Theses
  • Software
  • Events

Search

EN

Departments

  • ETH Zurich
  • D-BSSE
  • CBG

Language Selection

  • English

You are here

  • Homepage chevron_right
  • News chevron_right
  • …
  • 2020

2020

Within-patient genetic diversity of SARS-CoV-2

Our analysis on public and Swiss datasets of intra-host genetic diversity of SARS-CoV-2 is now available.

13.10.2020 by Fritz Bayer

D-BSSE eSymposium 13 Oct. 2020

What do SARS-​CoV-2 genomes tell us about their evolution and spread? Niko Beerenwinkel and Jack Kuipers are presenting ongoing efforts of our group on SARS-​CoV-2 genomic heterogeneity.

18.09.2020 by Fritz Bayer

V-pipe for analyzing SARS-CoV-2 sequencing data

We have released a new version of V-pipe, our bioinformatics pipeline for viral NGS data. The updated release is specifically adapted to analyse high-throughput sequencing data of SARS-CoV-2. It also integrates a new version of ShoRAH for SNV calling, and it supports reporting genetic variants in standard VCF files.

18.04.2020 by Fritz Bayer

Predicting colorectal cancer risk

Colorectal cancer is a major public health burden. Understanding the transition from benign polyps to malignant carcinomas can help to improve colorectal cancer screenings. Researchers from Niko Beerenwinkel’s group combined large-​scale epidemiological datasets and applied new mathematical and computational modelling to estimate cancer development. The new method also provides a tool for predicting the risk of the presence of cancer cells for each screened patient.

07.02.2020 by Simon Dirmeier

Footer

Search

Services

  • Student portal
  • Alumni association
  • Staffnet
  • Login

Contact

Prof. Dr. Niko Beerenwinkel
Professur f. Computational Biology
  • Phone +41 61 38 731 69
  • Email

ETH Zurich
Departement of Biosystems Science and Engineering
Klingelbergstrasse 48
(visitors address)
4056 Basel
Switzerland

CBG

Computational Biology Group

Departments

  • D-ARCH Architecture
  • D-BAUG Civil, Environmental and Geomatic Engineering
  • D-BIOL Biology
  • D-BSSE Biosystems Science and Engineering
  • D-CHAB Chemistry and Applied Biosciences
  • D-EAPS Earth and Planetary Sciences
  • D-GESS Humanities, Social and Political Sciences
  • D-HEST Health Sciences and Technology
  • D-INFK Computer Science
  • D-ITET Information Technology and Electrical Engineering
  • D-MATH Mathematics
  • D-MATL Department of Materials
  • D-MAVT Mechanical and Process Engineering
  • D-MTEC Management, Technology and Economics
  • D-PHYS Physics
  • D-USYS Environmental Systems Science

Table of contents and legal

  • Sitemap
  • Imprint
  • Accessibility Statement
  • Disclaimer & Copyright
  • Privacy Policy
© 2025  Eidgenössische Technische Hochschule Zürich
JavaScript has been disabled in your browser