cj battey (@cj_battey) 's Twitter Profile
cj battey

@cj_battey

Computational biologist in diagnostics

ID: 1901872572

linkhttp://cjbattey.com calendar_today24-09-2013 21:56:25

3,3K Tweet

3,3K Followers

1,1K Following

Andrew Kern (@pastramimachine) 's Twitter Profile Photo

Really excited about our lab's latest paper led by Kevin Korfmann. Here, Kevin has developed a deep, transformer-based language model for population genetics for inferring coalescent times (times of common ancestry) along recombining chromosomes. biorxiv.org/content/10.110…

Jonathan Pritchard (@jkpritch) 's Twitter Profile Photo

Staff scientist position (computational): I am looking for a computational scientist to join my genomics lab at Stanford. They should have an outstanding skillset in ML/statistical methods for genomic applications, postdoc experience and a strong publication record. #sciencejobs

METR (@metr_evals) 's Twitter Profile Photo

When AI is allowed, developers spend less time actively coding and searching for information, and instead spend time prompting AI, waiting on/reviewing AI outputs, and idle. We find no single reason for the slowdown—it’s driven by a combination of factors.

When AI is allowed, developers spend less time actively coding and searching for information, and instead spend time prompting AI, waiting on/reviewing AI outputs, and idle. We find no single reason for the slowdown—it’s driven by a combination of factors.
Genetics Society of America (@geneticsgsa) 's Twitter Profile Photo

In #GENETICS, Alexander Stein and Benjamin Werner present a new study about the population genetics of cancer. Learn about their theoretical assessment of the genetic makeup of cancers before and after treatment: buff.ly/cADPpiP

In #GENETICS, <a href="/alexstein_/">Alexander Stein</a> and <a href="/BenjaminWerner_/">Benjamin Werner</a> present a new study about the population genetics of cancer. Learn about their theoretical assessment of the genetic makeup of cancers before and after treatment: buff.ly/cADPpiP
daniel cadena (@cdanielcadena) 's Twitter Profile Photo

Replicate avian hybrid zones reveal the progression of genetic and trait introgression through time | our latest, led by the amazing maria isabel castaño #cienciacriolla biorxiv.org/content/10.110…

Joe Pickrell (@joe_pickrell) 's Twitter Profile Photo

New project! There's now a steady stream of discoveries of rare, high-impact genetic variants coming from resources like the UK Biobank and AllOfUs. I was frustrated I couldn't cross-reference my own genome with these discoveries, so I build a tool to do it I've now made

New project! 

There's now a steady stream of discoveries of rare, high-impact genetic variants coming from resources like the UK Biobank and AllOfUs. 

I was frustrated I couldn't cross-reference my own genome with these discoveries, so I build a tool to do it

I've now made
AJHG (@ajhgnews) 's Twitter Profile Photo

📣Online NOW! 📄Estimation of demography and mutation rates from one million haploid genomes 🧑‍🤝‍🧑 Joshua G. Schraiber Doc Edge & co cell.com/ajhg/abstract/…

Dr. Jean Fan (@jefworks) 's Twitter Profile Photo

Our paper identifying evidence of off-target probe binding in the 10x Genomics Xenium Breast Gene Panel is now available as a reviewed preprint at #eLife elifesciences.org/reviewed-prepr… We look forward to revising the paper to incorporate reviewer recommendations and other updates 🧵👇

Our paper identifying evidence of off-target probe binding in the 10x Genomics Xenium Breast Gene Panel is now available as a reviewed preprint at #eLife

elifesciences.org/reviewed-prepr…

We look forward to revising the paper to incorporate reviewer recommendations and other updates 🧵👇
Calum Gabbutt (@calumgabbutt) 's Twitter Profile Photo

Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in nature, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7, link below)

Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in <a href="/Nature/">nature</a>, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7, link below)
Keith Robison (@omicsomicsblog) 's Twitter Profile Photo

Long-read sequencing identifies aberrant fragmentation patterns linked to elevated cell-free DNA levels in cancer | bioRxiv biorxiv.org/content/10.110…