Dr Rob Leigh

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Dr Rob Leigh

Dr Rob Leigh

@RobLeigh_

Senior Research Fellow in Bioinformatics & Molecular Epidemiology @TrinityMed1. Adj Asst Prof in Stats @SETUIreland. Interested in omics approaches to medicine

Dublin City, Ireland Katılım Nisan 2019
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Dr Rob Leigh
Dr Rob Leigh@RobLeigh_·
Burnout is common in academia due to unsustainable workloads. This is especially common for Postgrads/docs who also suffer from low pay and fewer protections. Institutional change is needed to encourage more sustainable research. Better representation is needed to challenge this
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Science Magazine
Science Magazine@ScienceMagazine·
In a new Science study, researchers report that specific regions dense in cytosine and guanosine dinucleotides are epigenetically modified during inflammation to enable gene expression and that these changes persist during the animal’s lifetime. The finding has implications for understanding how the genome determines the longevity of memory, which affects tissue fitness. Learn more in a new #SciencePerspective: scim.ag/3PCKQU1
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Ben Scallan 🇮🇪
Ben Scallan 🇮🇪@Ben_Scallan·
My toddler pointed at some moss on the ground and asked me what it is. I said "That's moss." He asked me "What does moss do?" How am I supposed to answer that
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Dr Rob Leigh
Dr Rob Leigh@RobLeigh_·
Completely normal interaction
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Dr Rob Leigh
Dr Rob Leigh@RobLeigh_·
@NBoydGibbins @amaticahealth This is something bioinformaticians do in the background on a daily basis, is this a particularly rare disease? This is also on 17 patients if I’m not mistaken; unless it’s a rare disease, that sample size is going to constrain you. Has a power analysis been done?
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Nicholas Boyd-Gibbins, MEng, PhD
Nicholas Boyd-Gibbins, MEng, PhD@NBoydGibbins·
@RobLeigh_ @amaticahealth Sure, symptoms will all have underling biology. This work is trying to understand the mechanisms behind specific symptoms. If we can understand the pathophysiology that may allow us to treat symptoms that currently don't have treatments
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Mark Tenenholtz
Mark Tenenholtz@marktenenholtz·
Python is removing the GIL. The GIL (Global Interpreter Lock) prevents you from running multi-threaded code. That makes ML code, in particular, really hard to write in pure Python. Here's what it takes to remove the GIL:
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Microbiology Society
Microbiology Society@MicrobioSoc·
🔍Analysis of whooping cough isolates from over 82 years reveals the 'bystander effect' of the pertussis vaccine, affecting the evolution of a non-target species. Valérie Bouchez and Sylvain Brisse take us behind the scenes of their latest publication🔗 microb.io/3NAN1WY
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Dr Rob Leigh
Dr Rob Leigh@RobLeigh_·
@Avimanyu8008 @hamptonism Good explanation. I might be wrong but I think it is 20, not 21. For 19: P(20)/P(19) = 1.004 For 20: P(21)/P(20) = 0.998 For 21: P(22)/P(21) = 0.996 For this, the idea is to find were the ratio crosses 1. For 19, it’s above 1 and for 20 it’s below 1. Therefore, 20 is optimal
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Avimanyu
Avimanyu@Avimanyu8008·
The best chance is an illustration of probability The 21st position in line gives you the best chance of being the first duplicate birthday How to determine the best position? Assume you are in the nth position, the probability of getting a free ticket is: P(n) = P'(first n - 1 people share a birthday) * P(birthday with first n -1 people) Mathematically, the above can be represented as: P(n) = [365/365 * 364/365 * 363/365 * ... * (365 - (n -2))/365] * [(n -1)/365] Such that: n ≤ 365 When simplified, the equation becomes p(n)/p(n+1) = 365/(366 - n) * (n - 1)/n Where p(n)/p(n+1) > 1 So, we have: 365/(366 - n) * (n - 1)/n > 1 Evaluate the product (365n -365)/(366n - n²) > 1 Cross multiply 365n -365 > 366n - n² Collect like terms n² + 365n - 366n - 365 > 0 Evaluate the difference n²  - n - 365 > 0 Solve for n using a graphing calculator; n > - 18.6 or n >19.6 n cannot be negative. So, we have: n > 19.6 Approximate to nearest integer n > 20 The least integer value of n is: n = 21 Hence, the 21st position in line gives you the best chance of being the first duplicate birthday. btw it's not my answer i don't know anything
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James Zou
James Zou@james_y_zou·
Today in @NatureMedicine we report that AI can predict 130 diseases from 1 night of sleep🛌 We trained a foundation model (#SleepFM) on 585K hours of sleep recordings from 65K people—brain, heart, muscle & breathing signals combined. AI learns the language of sleep🧵
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Jerzy Szablowski
Jerzy Szablowski@JerzySzablowski·
"In many gene expression studies, cells are extracted by tissue dissociation and fluorescence-activated cell sorting (FACS), but the effect of these protocols on cellular transcriptomes is not well characterized and is often ignored." nature.com/articles/nmeth…
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Massimo
Massimo@Rainmaker1973·
Boiled chicken, Greek yogurt and white Rice. What’s missing here?
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Dr. Dominic Ng
Dr. Dominic Ng@DrDominicNg·
Pets completely protect against mental decline from living alone. 9-year study of 7,945 older adults: People living alone with pets kept their mental sharpness just as well as those living with family. Your dog or cat might be saving your brain.
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Dr Rob Leigh
Dr Rob Leigh@RobLeigh_·
@IrishUnity As a statistician, I can assure you that this is causation, not correlation (P < 0.005)
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Sir Edward Leigh MP
Sir Edward Leigh MP@EdwardLeighGB·
Abolish stamp duty!
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Brandon Luu, MD
Brandon Luu, MD@BrandonLuuMD·
Aging happens in bursts, not gradually In a multi-omics study, only 6.6% of molecules changed linearly. 81% showed nonlinear changes with two dramatic waves: Age 44: cardiovascular, lipid/alcohol metabolism Age 60: immune dysfunction, carbohydrate metabolism
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