Analysis tools for detection of SARS-CoV-2 variants in wastewater samples
In January, genomic analysis in samples taken from wastewater treatment plants in Switzerland highlighted the potential of this method as an early alert of the presence of the novel SARS-CoV-2 variants. The study which was published on the pre-print server medRxiv was co-led by Niko Beerenwinkel together with colleagues from ETH Lausanne and Eawag. Now, the computational tools for the analysis of the co-occurrence of mutations on the viral RNA is made available open-source.
Find resources for the computational analysis: external page source code available at github > external page cojac (CoOccurrence adJusted Analysis and Calling) package and external page user-installable bioconda package; external page SIB Software Resource; external page V-pipe: bioinformatics pipeline for analyzing viral sequencing data.
Find external page original article published on medRxiv; various Swiss media picked this news up: external page SRF news, external page Der Bund, external page Tagesanzeiger, external page 20 minuntes, external page Der Blick, external page Nau.ch.
Learn about the Computational Biology group led by Niko Beerenwinkel.