@p_peterlongo Cool work! We did almost exactly this in rkmh (https://t.co/3swXJYSHbM , https://t.co/jKz6zM5nKA) by using sketches longer than the read and it worked great for read classification. Fun preprint, looking forward to learning more from the cod
@thebasepoint @nextstrain If you're looking for secondary pathogens, have you thought about filtering all reads matching SARSCOV2 genome (using something like https://t.co/BbvLhz6OP2) and then push the rest through metagenomics pipelines (a la Kraken2, MAS
@TeebzR @WHOGOARN @RECONEPI @SlackHQ I would be interested in contributing both R/tidyverse solutions as well as tidy-compatible bioinformatics (R/python/C++)! Would love to build more things like we did for HPV16 coinfections: https://t.co/jKz6zMmYC8
New from #wellcometrust https://t.co/0aLfA2gsr3 Viral coinfection analysis using a MinHash toolkit
Viral coinfection analysis using a MinHash toolkit https://t.co/XlS6sVVUy6 #bmcbioinformatics
Viral coinfection analysis using a MinHash toolkit https://t.co/BU2FlbQMgA
Viral coinfection analysis using a MinHash toolkit. https://t.co/g1ScaNXXfI
#BioIT #BioInformatics Viral coinfection analysis using a MinHash toolkit https://t.co/oOKyMzKKaK
Viral coinfection analysis using a MinHash toolkit https://t.co/Lcq0JdxuCi #bioinformatics