Top Tweets for #ShouldTryThis
gget alphafold is a Python and command-line implementation of a simplified version of @DeepMind’s AlphaFold2 (https://t.co/jp9Iw0Fij1) originally released and benchmarked for AlphaFold Colab (https://t.co/IeXIG39vZJ).
https://t.co/9yFGH2gKiF
JBrowse 2: A modular genome browser with views of synteny and structural variation https://t.co/6Vc7i8ekZQ

Slow is faster
#ShouldTryThis
Slow5tools: Flexible and efficient handling of nanopore sequencing signal data https://t.co/emzDV1Ifvx

Deep learning takes the stage of genome assembly. Wondering how this would work depending on distance to training set
#ShouldTryThis
After many months, I'm proud to share our work on untangling genome assembly graphs with GNNs. Or, GNNome Assembly (sorry not sorry)🧬
Paper: https://t.co/LjBGjwI7km
Code/Data: https://t.co/T0YrGTzosi
with @xbresson, T. Laurent, @Martin_fschmitz, and @msikic.
Read more in 🧵

Ancestral gene order reconstruction algorithm, AGORA, got an uplift in documentation, a large and wide precomputed dataset and a brand new #preprint
#ShouldTryThis time
https://t.co/P9J3ODJBdy
New preprint!
We reconstructed the genomes of 624 (!) ancestral vertebrates, plants, fungi and protists!
And they’re all available - you’re welcome! :D
A thread 🧵 on a project that has been long in the making...! (1/n)
https://t.co/IHnjOUW2CI
Plotting three way tree reconciliation has never been this easy
#ShouldTryThis
https://t.co/T1NXhIBo9h
Thirdkind: displaying phylogenetic encounters beyond 2-level reconciliation https://t.co/xDA2hGMPX0

plotsr: Visualising structural similarities and rearrangements between multiple genomes https://t.co/bw34mg893K #biorxiv_bioinfo
Thanks for bringing in my first #ShouldTryThis of the year, hoping our data gives a pattern closer to the #JoyDivision icon #2022Goals
https://t.co/LYIzc2pLFu

Missed that one...
AF-vapeR: A multivariate genome scan for detecting parallel evolution using allele frequency change vectors https://t.co/rRrXJw9F8Z
It's mid December and your co-authors aren't responding to your emails, time to try out a new framework for analyzing genomic data🎄
New #plyranges + #nullranges workflows, 🧵 below
with @WancenM @_StuartLee @ericscottdavis1 @dphansti et al

Pls RT: Free and new software to draw publication-ready phylogenetic trees: TreeViewer by Giorgio Bianchini. #Phylogenetics TreeViewer is flexible, modular, and easy to use. Manual at https://t.co/ee6UqfiS6Z

Phylogenetic placing of any sequence “with a similar speed as a conventional BLAST” 😳
#ShouldTryThis
Introducing SHOOT, the phylogenetic sequence search engine
SHOOT is like BLAST, but instead of a list of similar sequences you get a maximum likelihood phylogenetic tree with your query sequence embedded in it.
Try it👉 https://t.co/GwTWgBh2qb
Preprint👉 https://t.co/U7JQpXcO4F
“long-range LD across genome” is a thing
#ShouldTryThis
GitHub - z0on/LDnetworks: Detection of polygenic selection based on long-range LD across genome. https://t.co/7GGWyHytAl
CoolBox, a pyGenomeTracks-based Hi-C data visualization in Jupyter and command line, is published! Works with .hic and .m/cool input, plus .bed, .pairs etc. Documentation and examples illustrate the power. Have been following it, very interesting project. https://t.co/E1nJX17j9a

Not sure to be happy or worried of being allured by the title or the abstract. Anyway, a quasi linear time to explore possible founder graphs of #pangenomes is an inescapable #Bioinformatics #ShouldTryThis for me
https://t.co/Eaz4VGhrMz

https://t.co/ZZKN3dmHcE Our new preprint on pangenome indexing is out. The idea is to represent a pangenome by recombinations of a few founder sequences, and segment those into repeat-free blocks via dynamic programing. #bioinformatics #pangenomics
A one stop shop for data processing and differential analysis for #ChIpSeq
Not there yet, but #ShouldTryThis
#preprints #asapBiology
#GOReTeam @institutpasteur @HubPasteur @ensentis
https://t.co/BTLEcxHXsb

That sweet/bitter feel of realizing someone just released something you have been tweaking in for a while, yet they did it cleaner and documented better
#ShouldTryThis
Ever wanted to extract your favorite genes from a set of proteomes? Here, I present #orthofisher, a #software for automated gene extraction using HMMs. I anticipate orthofisher will be useful for phylogenomics or gene family copy number determination 🔗: https://t.co/XvfVWr2cne

SibeliaZ, a de Bruijn graph-based multiple genome aligner. I guess it was just a matter of time
#ShouldTryThis
https://t.co/FjuGO7jIDG
https://t.co/cnyN6BnOwl
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