Applied Bioinformatics Laboratory (ABiL)
@appliedbinf
A bioinformatics partnership providing you with quality bioinformatics analysis, software development, and training.
You might like
Update: @covid19riskUSA site now includes real-time state-level vax info along w/county-level risk, including a new feature to focus in on states with relatively low vaccination levels (here all those with <50% of total pop fully vaccinated 2 weeks ago). covid19risk.biosci.gatech.edu
Recordings of public talks from the #QBioSWorkshop by @QBioS_GT are now live. See the introduction plenary by @sarahcobey, a demonstration by @appliedbinf & @atcbinf, and a lecture by @joshuasweitz. youtube.com/playlist?list=… For more information, visit workshop2021.qbios.gatech.edu
#WeAreHiring We are looking for talented bioinformaticians to join our team! Review the job description and apply here: phe.tbe.taleo.net/phe02/ats/care…
Today at 1 pm, join us for the second public talk of the day where Lavanya Rishishwar of @appliedbinf and @atcbinf will be presenting on how to translate models into interactive dashboards using @github shiny apps. Join below⬇️ primetime.bluejeans.com/a2m/live-event…
For those joining us (@appliedbinf) , or who just to follow along, start by starring and forking the Github repo for our session on #RStats #RShiny dashboard basics. We'll walk you through your first shiny application. github.com/appliedbinf/20…
github.com
GitHub - appliedbinf/2021-QBiosWorkshop: R shiny examples for QBios Workshop May 2021
R shiny examples for QBios Workshop May 2021. Contribute to appliedbinf/2021-QBiosWorkshop development by creating an account on GitHub.
Join us for 3 public talks during the last day of the 2021 #QBioSWorkshop. At 9 am, @JoshuaSWeitz covers basics of epidemic models Building interactive dashboards with Lavanya Rishishwar & @atcbinf at 1 pm 3:30pm Plenary by @svscarpino: Network science theory & #COVID19
Open talks today at #QBioSWorkshop (all EDT) 9am: From deterministic to stochastic models 1pm: Translating models into interactive dashboards (w/Lavanya Rishishwar of @appliedbinf & @atcbinf) 3:30pm: Network science theory and #Covid19 by @svscarpino workshop2021.qbios.gatech.edu
Link to join these public talks below⬇️ #Modeling #COVID19 primetime.bluejeans.com/a2m/live-event…
Excited to be teaching dashboard development tomorrow in #RShiny as part of the @QBioS_GT Modeling Workshop!
Announcing: plenary lectures of @QBioS_GT Hands-On Modeling Workshop now open to all: Mon. 5/17, 9am EDT, @sarahcobey Modeling COVID-19: what went wrong and right, and what’s next Tue. 5/18, 3:30pm EDT, @svscarpino Network science theory and COVID-19 primetime.bluejeans.com/a2m/live-event…
Excited to teach a session on #RStats Shiny dashboard development basics. Dataviz is an important part of effective scientific communication
Announcing: plenary lectures of @QBioS_GT Hands-On Modeling Workshop now open to all: Mon. 5/17, 9am EDT, @sarahcobey Modeling COVID-19: what went wrong and right, and what’s next Tue. 5/18, 3:30pm EDT, @svscarpino Network science theory and COVID-19 primetime.bluejeans.com/a2m/live-event…
Announcing: @QBioS_GT Virtual Modeling Workshop, May 17-18 Theme: Epidemics, w/focus on #Covid19. Apply by 4/14 to learn to build deterministic & stochastic models of epidemics and translate models to interactive dashboards. Beginning coders welcome. workshop2021.qbios.gatech.edu
The COVIDvoice project was written up by @hypepotamus! Share your voice at covidvoice.net to help crush COVID-19!
Voice detection, bots, vending machines. Meet some of the tech entrepreneurs taking unique approaches to help end the pandemic: hypepotamus.com/feature/entrep…
Share your voice to help launch a voice-based COVID-19 screening tool! Georgia Startup Races to Complete AI-powered Voice Screening Tool to Crush COVID-19 prn.to/3738jo1
Thread on moving from case reports to estimated risk in events of different sizes. Analysis driven by our collaborative Covid-19 Event Risk Assessment Planner (w/@weitz_group + @Friendly_Cities + @appliedbinf) Website: covid19risk.biosci.gatech.edu Details: nature.com/articles/s4156…
So, how are we doing with covid? Nationally, reported incidence has fallen from around 76 cases per 100,000 population per day to about 43. Better! But not yet good. Thresholds are contentious, but I think 20 as a first goal and 10 as a second goal are reasonable to start. 1/
We're hiring! Looking for a skilled bioinformatician to join our team and help develop cutting edge bioinformatics solutions to a diverse set of experimental questions for a wide range of applications! For more info on the position and to apply, check out asrtinc.applicantpool.com/jobs/512717.ht…
Great piece using the data from our @covid19riskUSA dashboard
A recent survey found that 40% of Americans plan to attend a Thanksgiving gathering with 10 or more people. Here are the odds of encountering a Covid-positive person at one of those gatherings. washingtonpost.com/business/2020/…
Our collaborative COVID-19 risk assessment tool was covered by @latimes! Congratulations @atcbinf and @joshuasweitz covid19risk.biosci.gatech.edu
How likely is it you’ll encounter at least one person who is infected with the coronavirus if you go to a bar in Denver? What about a 100-person wedding in Baltimore? Or a Thanksgiving dinner with 25 guests in Los Angeles? Now, you can find out: latimes.com/science/story/…
Out today in @NatureHumBehav: New resource article on our #Covid19 Event Risk Assessment interactive website, jointly led w/@urbanclio, i.e., a @weitz_group - @Friendly_Cities collaboration. nature.com/articles/s4156…
@appliedbinf scientists are using #GeneticAncestry to inform #PrecisionMedicine decisions in support of #HealthEquity for underrepresented minorities.
@appliedbinf The Jordan lab @GeorgiaTech just published on #Pharmacogenomics for #HealthEquity! We show that safer and more effective drugs (#PrecisionMedicine) will be prescribed to Black and Hispanic patients if their #GeneticAncestry is considered. bmcbiol.biomedcentral.com/articles/10.11…
New easy to read Covid-19 risk guides are turning standard risk charts into road maps—laid out in the colors of safety—that could lead us to where we want to be. wired.trib.al/fXvMquK
United States Trends
- 1. Jokic 23.9K posts
- 2. Lakers 52.8K posts
- 3. Epstein 1.63M posts
- 4. #AEWDynamite 49.3K posts
- 5. Clippers 13.9K posts
- 6. Nemec 3,179 posts
- 7. Shai 16K posts
- 8. Thunder 41.4K posts
- 9. #NJDevils 3,073 posts
- 10. #River 4,472 posts
- 11. Markstrom 1,223 posts
- 12. #Blackhawks 1,587 posts
- 13. Sam Lafferty N/A
- 14. Ty Lue 1,019 posts
- 15. Nemo 8,564 posts
- 16. #AEWBloodAndGuts 5,813 posts
- 17. Kyle O'Reilly 2,253 posts
- 18. Steph 29.1K posts
- 19. Rory 7,807 posts
- 20. Spencer Knight N/A
Something went wrong.
Something went wrong.