I thought to examine signal of natural evolution in #nCoV2019 by looking at distribution of mutations in the lineage leading to nCoV and compare this distribution to mutations occurring in other SARS-like bat viruses 1/9
-
-
If you'd like to investigate yourself, you can either run the entire openly available bioinformatics pipeline here https://github.com/blab/sars-like-cov … or just work from the resulting JSON file that contains all of these mutation calls here https://raw.githubusercontent.com/blab/sars-like-cov/master/auspice/sars-like-cov.json …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
-
-
Possibly of interest: " amino acid sequences that distinguish 2019-nCoV _from all other known viruses in Coronaviridae. We find three main regions of unique sequence: two in the 1ab polyprotein QHO60603.1, one in surface glycoprotein QHO60594.1."https://www.biorxiv.org/content/10.1101/2020.01.31.929497v1 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
-
-
Problem is it is a small genome and you’d really only want to engineer the sites responsible for host specificity and/or receptor affinity. Not sure the ratios would tell you much in that scenario.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
-
-
How could "engineering" be distinguished from the action of positive selection?
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
-
-
- Još 1 odgovor
Novi razgovor
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.