Vanda G-Lovejoy (@non_coding_gal) 's Twitter Profile
Vanda G-Lovejoy

@non_coding_gal

ID: 1310966851166507008

calendar_today29-09-2020 15:37:21

124 Tweet

49 Takipçi

76 Takip Edilen

Vanda G-Lovejoy (@non_coding_gal) 's Twitter Profile Photo

Nothing has changed since I demonstrated with my dad 6 years ago for more funding for science. That's why we are marching once more tomorrow for workers day denouncing the lack of scholarship and grants in Canada.

Nothing has changed since I demonstrated with my dad 6 years ago for more funding for science. That's why we are marching once more tomorrow for workers day denouncing the lack of scholarship and grants in Canada.
AEBINUM (@_aebinum_) 's Twitter Profile Photo

Voici la nouvelle équipe qui compose désormais l'Aébinum. De droite à gauche, nous avons Cécile Poulain, Simon Paquette,Thomas Renne, vice-président secrétaire, Alexis Nolin-Lapalme, David Hamelin, président, Sam Pedro, Léa Kaufmann, Vanda Gaonac'h-Lovejoy et Sayeh Kazem 🎉

Voici la nouvelle équipe qui compose désormais l'Aébinum. De droite à gauche, nous avons Cécile Poulain, Simon Paquette,Thomas Renne, vice-président secrétaire, Alexis Nolin-Lapalme, David Hamelin, président, Sam Pedro, Léa Kaufmann, Vanda Gaonac'h-Lovejoy et Sayeh Kazem 🎉
Martin Smith (@martinalexsmith) 's Twitter Profile Photo

Second poster (#149) from The Smith Laboratory tonight at #LorneGenome LorneGenomeConferenc by @BiologistQuirky: A comparative benchmarking of conserved RNA secondary structure prediction tools for the systematic annotation of non-coding RNAs. Ask Vanda about R-scape, SISSIz & lncRNAs

Second poster (#149) from <a href="/therealsmithlab/">The Smith Laboratory</a> tonight at #LorneGenome <a href="/GenomeConf/">LorneGenomeConferenc</a>  by @BiologistQuirky: A comparative benchmarking of conserved RNA secondary structure prediction tools for the systematic annotation of non-coding RNAs. Ask Vanda about R-scape, SISSIz &amp; lncRNAs
Andrej Spiridonov (@andrejspiridon4) 's Twitter Profile Photo

I'm glad to share our most recent article with Shaun Lovejoy in the The Paleontological Society journal "Paleobiology" presenting so called Fractional MacroEvolution Model (FMEM), which reflects key features of macroevolution - scaling and long memory doi.org/10.1017/pab.20… 1/n

I'm glad to share our most recent article with <a href="/LovejoyShaun/">Shaun Lovejoy</a> in the <a href="/PaleoSoc/">The Paleontological Society</a> journal "Paleobiology" presenting so called Fractional MacroEvolution Model (FMEM), which reflects key features of macroevolution - scaling and long memory
doi.org/10.1017/pab.20…
1/n
Terese (@tresterese) 's Twitter Profile Photo

I recorded nearly every* breastfeeding session with my older daughter over 1.5 years. Mostly so I could someday make some charts. Yay charts! *I only missed a very small handful of feeds!

I recorded nearly every* breastfeeding session with my older daughter over 1.5 years. Mostly so I could someday make some charts. Yay charts!

*I only missed a very small handful of feeds!
Dr. Glaucomflecken (@dglaucomflecken) 's Twitter Profile Photo

False eyelashes are incredibly popular but can I just say as an ophthalmologist, they look horrifying under 10x magnification. The lashes are so densely packed that they trap all the dead skin cells, dirt, and oily secretions from your eyelids. It’s a sebaceous swamp in there and

Martin Smith (@martinalexsmith) 's Twitter Profile Photo

Do long non-coding RNAs form conserved, functional secondary structures?🧬䷰𐂷 How can we systematically assess this? We compared 2 tools fit for this task (SISSIz & R-scape) across 2 genomic benchmarking strategies. Spoiler: machine learning wins (🧵/10) biorxiv.org/content/10.110…

Do long non-coding RNAs form conserved, functional secondary structures?🧬䷰𐂷 How can we systematically assess this? 
We compared 2 tools fit for this task (SISSIz &amp; R-scape) across 2 genomic benchmarking strategies.
Spoiler: machine learning wins (🧵/10)
biorxiv.org/content/10.110…
Martin Smith (@martinalexsmith) 's Twitter Profile Photo

The great thing about interpretable ML is that you can look at feature importance in the resulting classifier, which exposed some interesting findings. Notably, minimum free energy is somewhat important! (9/)

The great thing about interpretable ML is that you can look at feature importance in the resulting classifier, which exposed some interesting findings. Notably, minimum free energy is somewhat important! (9/)
Martin Smith (@martinalexsmith) 's Twitter Profile Photo

This eventuated with ECSfinder, a pipeline that can be used to detect evolutionarily conserved 2D structures (ECS) with greater accuracy than individual tools. All work led by PhD candidate Vanda G-Lovejoy with significant contributions from Martin Sauvageau and John Mattick (10/10)