Imagine if you could make an actual tool, say, a chair, from putting one of your cells, a special one, in the right environment. Maybe a bathtub full of sugar water.
Imagine if you could make an actual tool, say, a chair, from putting one of your cells, a special one, in the right environment. Maybe a bathtub full of sugar water.
Machine learning on maize and a cabbage relative found how often DNA gets reshuffled was the strongest clue to which duplicate genes were lost. A clue for crop breeders.
🔗 doi.org/10.1126/sciadv.aee9459
#Genetics #Crops #Plants 🧪
Machine learning on maize and a cabbage relative found how often DNA gets reshuffled was the strongest clue to which duplicate genes were lost. A clue for crop breeders.
🔗 doi.org/10.1126/sciadv.aee9459
#Genetics #Crops #Plants 🧪
#RootsOfObesity #Genetics
#RootsOfObesity #Genetics
->Nature | More on "Environmental health exposure data analysis" at BigEarthData.ai | #data #environment
Make sure the genes you find are not differential just due to size!
We just found out that short bacterial ribosomal genes were missed by annotation tools leading to misleading enrichment in some data
Make sure the genes you find are not differential just due to size!
We just found out that short bacterial ribosomal genes were missed by annotation tools leading to misleading enrichment in some data
[Original post on mastodon.social]
[Original post on mastodon.social]
Watch this overview, created by @acamh.bsky.social, about the E-Risk Study's origins, landmark findings, and exciting future as participants reach age 30.
acamhlearn.org/learning/the...
@kingscsmh.bsky.social @kingsioppn.bsky.social
Watch this overview, created by @acamh.bsky.social, about the E-Risk Study's origins, landmark findings, and exciting future as participants reach age 30.
acamhlearn.org/learning/the...
@kingscsmh.bsky.social @kingsioppn.bsky.social
#Exposome
#Exposome
Read more here: bit.ly/4x1tHEa
Read more here: bit.ly/4x1tHEa