Clément Goubert :verified:

🇧🇷 #Transposon people! Reach out to @rita_rebollo :) #TEhub
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RT @rita_rebollo
Viva Brasil! 5 week stay, lots of lab visits, and a nice collab with Claudia Carareto (of course)! Thanks CAPES! #transposon people from #Brazil, let's hook up! @hub_te thinking of you! #WorkTripWithKids #WishmeLuck #BrazilianGramaToTheRescue
twitter.com/rita_rebollo/statu

Rita Rebollo on Twitter

“Viva Brasil! 5 week stay, lots of lab visits, and…

Twitter
Johann Confais

📢 Hey REPET users ! To improve the classification of your #Transposons reference library there are new banks formatted for #REPET available on @INRAE_URGI
website : urgi.versailles.inra.fr/Tools/. #TEHub🧵⬇️1/4

REPET - URGI

Content Management System

urgi.versailles.inra.fr
Clément Goubert :verified:

#introduction Hi there! My name is Clément, I am an evolutionary biologist interested in #transposons (Jumping Genes 🧬➰🧬) !

#transposons are really cool! They turn Cabernet 🍷 into Chardonnay, protect us from viruses 👾and also give their nice smell to roses🌹!

I really like to pretend I'm doing bioinformatics by playing Lego with software and making pipelines and methods for #transposon analysis and annotation. Here are some of them:
- #dnaPipeTE : find and quantity transposons in short-reads data github.com/clemgoub/dnaPipeTE
- #GraffiTE : detect and genotype polymorphic #Transposon insertions using #pangenome approaches github.com/cgroza/GraffiTE
- #TE+Aid : a little tool to help manual curation of #Transposons libraries github.com/clemgoub/TE-Aid

I am also a contributor to the #TEhub a community centered ressource to learn and share how to analyze #Transposons -- find out more here tehub.org -- YouTube: youtube.com/@tehub

Always excited to talk about anything, please reach out if you are interested in #Transposons!

When I don't do science, I am passionate about music (I'm into DIY synthetizers these days), vinyl records, photography, skiing, video games and ah yes I am quite passionate about politics too!

Cheers!

GitHub - clemgoub/dnaPipeTE: dnaPipeTE (for de-novo assembly & annotation Pipeline for Transposable Elements), is a pipeline designed to find, annotate and quantify Transposable Elements in small samples of NGS datasets. It is very useful to quantify the proportion of TEs in newly sequenced genomes since it does not require genome assembly and works on small datasets (< 1X).

dnaPipeTE (for de-novo assembly &amp; annotation Pipeline…

github.com