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 pagesource code available at github >call_made external pagecojac (CoOccurrence adJusted Analysis and Calling) packagecall_made and external pageuser-installable bioconda packagecall_made; external pageSIB Software Resource;call_made external pageV-pipe: bioinformatics pipeline for analyzing viral sequencing datacall_made.
Find external pageoriginal article published on medRxivcall_made; various Swiss media picked this news up: external pageSRF newscall_made, external pageDer Bundcall_made, external pageTagesanzeigercall_made, external page20 minuntescall_made, external pageDer Blickcall_made, external pageNau.chcall_made.
Learn about the Computational Biology group led by Niko Beerenwinkel.