Greg Alanis-Lobato

Scientist, Programmer, Readaholic, Traveller, Gamer

[Greg Alanis-Lobato @greg_alanis]

@Revolvermag Private music - Deftones

[revolvermag @Revolvermag]

.@deftones are @revolvermag's Artist of the Year.

From 'private music' to Dia De Los Deftones, they've cemented their position as both elder statesmen and zeitgeist-defining tastemakers.

Order the Revolver Awards 2025 collector's issue https://t.co/SXVILEjggU

[Greg Alanis-Lobato @greg_alanis]

@3scorciav @Beto_OchoaRuiz @latinxincv @escanepa @VMFragoso Chilaquiles. Period.

[Nuclear Hazelnut 👷🏻‍♀️ @NuclearHazelnut]

Most of the conversations that I have about nuclear energy, leads to the same question: “- but what about the waste? -What waste? -Well, you know, it remains highly hazardous for a long time and…”

Let me tell you 3 facts about nuclear spent fuel:

1️⃣ A nuclear power plant, supplying energy to a large city with millions of residents, consumes less than half a liter of uranium daily, resulting in less than half a liter of spent fuel produced each day. AND: About ~95% of this waste can be recycled, like France currently does.

2️⃣ No human has ever been harmed by nuclear waste. Contrary to common perception, spent nuclear fuel is in solid form, securely packaged in high-level waste containers (ultra-strong containers) designed to withstand extreme conditions and provide secure long-term storage for radioactive materials. Also, we have precise knowledge of its location and composition.

3️⃣ After ~300 years, the harmful radiation diminishes. Therefore, we store it in deep geological repositories. Finland's repository, Onkalo, is a notable example, with negligible environmental impact.

The 'waste problem' doesn't even require a solution; it's not a problem at all.

And remember: Are you actively advocating for saving the planet? Excellent idea! Construct more nuclear power plants. The more, the faster, the better.

This isn't an opinion; it's science.

[Greg Alanis-Lobato @greg_alanis]

Check out the results of a great collab between the @NiakanLab, Tom Bartlett (@stats_UCL) and Bourne Hall Clinic. In this work, we predict GRNs in early human embryos using transcriptional mutual information inferences refined by chromatin accessibility: https://t.co/cTpmCNOSvk

[LifeScienceAlliance @LSAjournal]

Transcriptional mutual information inference refined by chromatin accessibility = MICA First GRN predictions in early human embryos - the basis of testable hypotheses. Work led by @greg_alanis Tom Bartlett @stats_UCL Qiulin Huang @NiakanLab https://t.co/4Qg80SIO56

[Yang Luo @yluo86]

Two #OpenAccess @Nature papers published today shed light on the genomics of Mexico. Mexican Biobank (N~6K, https://t.co/Q9C7JVwu6n) & Mexico City Prospective Study (N~140k, https://t.co/wZASFN4oxb) delve deep into the genetics of previously underrepresented population.

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2023 #NobelPrize in Chemistry to Moungi G. Bawendi, Louis E. Brus and Alexei I. Ekimov “for the discovery and synthesis of quantum dots.”

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2023 #NobelPrize in Physics to Pierre Agostini, Ferenc Krausz and Anne L’Huillier “for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter.”

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The 2023 #NobelPrize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman for their discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19.

[nature @Nature]

The #NobelPrize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman for their "discoveries concerning nucleoside base modifications that enabled the development of effective mRNA vaccines against COVID-19"

More to follow

[AW @AthleticsWeekly]

It's Berlin Marathon victory No.5 for @EliudKipchoge 👏👏👏

No world record today but the Kenyan runs 2:02:42 to win by half a minute from Vincent Kipkemoi.

[AW @AthleticsWeekly]

Phenomenal run in Berlin as Tigst Assefa of Ethiopia clocks 2:11:53 to smash Brigid Kosgei's world marathon record of 2:14:04.

The former 1:59 800m runner was running only her third marathon. 🤯

[AW @AthleticsWeekly]

9⃣.5⃣8⃣

It's 14 years to the day since @usainbolt set the track alight in Berlin with his historic world 100m record of 9.58 ⚡️

The greatest 🐐

[Danny Thompson @DThompsonDev]

STACK OVERFLOW JUST ANNOUNCED THEIR OWN AI!!!

OverflowAI is a tool, that will also have a VS Code plugin. The way this works, if you are on the site and ask a question, it will produce the answer for you while also citing the sources it used to produce the answer.

You can then ask more in the conversational area, even including code, and through Generative AI it can continue building off of the answer.

This is the right move on their part and I am confident a lot of people will be trying it out. Everything releases in August! Great job @StackOverflow. Really great announcement at the @WeAreDevs Conference!

[Phillip Compeau @PhillipCompeau]

This is the best video to introduce a computational biology course. There will never be a better one

https://t.co/K59A2iQWFU

[Greg Alanis-Lobato @greg_alanis]

Blown away by 🍎Vision Pro! 🤯

[Massimo @Rainmaker1973]

Plotter programmed to sync with piano piece "Clair de lune" (Debussy, 1905)

[📹 Duncan Lockerby: https://t.co/3iWub0lZB3]

[Greg Alanis-Lobato @greg_alanis]

Overall, we showed that GRN inference with MICA can be applied to challenging biological contexts with limited sample size, such as the human blastocyst, to make predictions about TF-gene interactions that can be experimentally tested.

[Greg Alanis-Lobato @greg_alanis]

Really happy to share some details about our most recent manuscript, the result of a great collaboration between @NiakanLab @TheCrick and @CTR_Cambridge, the @BournHallClinic and Tom Bartlett from @ucl: https://t.co/bdP7UBMSBI

[Greg Alanis-Lobato @greg_alanis]

Finally, we experimentally tested a GRN involving TFAP2C, JUND, SOX4 and GCM1 that MICA predicted to be conserved in the 3 human blastocyst lineages. Immunostaining of TFAP2C and JUND in human blastocysts and naïve hESCs corroborated their co-expression and intensity correlation.