Posts Tagged ‘from’

Lynn Williams obituary

January 25, 2023

https://www.nytimes.com/1983/01/01/obituaries/albert-l-williams-dies-at-71-ibm-president-in-the-1960-s.html

Audm – Listen to feature stories from The Atlantic, WIRED, and more.

January 3, 2023

https://www.audm.com/

Chat GPT

December 18, 2022

https://chat.openai.com/

Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization

October 13, 2022

https://www.pnas.org/doi/10.1073/pnas.2122954119

www.brimr.org/NIH_Awards/NIH_Awards.htm

October 5, 2022

http://www.brimr.org/NIH_Awards/NIH_Awards.htm

Nice listing of NIH money by field & PI

Lab leaders wrestle with paucity of postdocs

September 4, 2022

https://www.nature.com/articles/d41586-022-02781-x

SLC6A4 Gene – GeneCards | SC6A4 Protein | SC6A4 Antibody

August 1, 2022

https://www.genecards.org/cgi-bin/carddisp.pl?gene=SLC6A4

QT:{{”
This gene encodes an integral membrane protein that transports the neurotransmitter serotonin from synaptic spaces into presynaptic neurons. The encoded protein terminates the action of serotonin and recycles it in a sodium-dependent manner. This protein is a target of psychomotor stimulants, such as amphetamines and cocaine, and is a member of the sodium:neurotransmitter symporter family. A repeat length polymorphism in the promoter of this gene has been shown to affect the rate of serotonin uptake. There have been conflicting results in the literature about the possible effect, if any, that this polymorphism may play in behavior and depression. [provided by RefSeq, May 2019]
“}}
famous serotonin re-update transporter

Eisenhower’s Urgent/Important Principle/Matrix

July 11, 2022

https://todoist.com/productivity-methods/eisenhower-matrix

https://www.mindtools.com/pages/article/newHTE_91.htm#:~:text=Eisenhower%2C%20who%20was%20quoting%20Dr,organized%20his%20workload%20and%20priorities.

Mutation bias reflects natural selection in Arabidopsis thaliana | Nature

April 14, 2022

https://www.nature.com/articles/s41586-021-04269-6

https://twitter.com/MarkGerstein/status/1510065060806283269

Interesting paper, relating de novo mutation rate to epigenetic features. Wonder exactly how this connects to the fact that the background mutation rate in cancer genomes depends strongly on epigenetics.

Important genomic regions mutate less often than do other regions https://www.nature.com/articles/d41586-022-00017-6

The complete sequence of a human genome

April 10, 2022

https://www.science.org/doi/10.1126/science.abj6987

Congratulations. Looking forward to mapping trillions of reads against CHM13!