Intro to Python training coming up in Edinburgh: http://genomics.ed.ac.uk/services/introduction-python-biologists-0

It's a good un, I went on it myself when I started my PhD!

Happy New Year to all on mastodon and in our little community on critcare.social !

I don’t read quite (nearly) as voraciously as @iwashyna and @hauschildt but here’s a short article that I really enjoyed, and that every consumer of the scientific literature should read. It nails the flaw behind peer review:

“We treated science like it’s a weak-link problem where progress depends on the quality of our worst work.”

https://experimentalhistory.substack.com/p/the-rise-and-fall-of-peer-review

RT @[email protected]

Every researcher should read this. We need to stop using race as a variable. Racialising genetic risk: assumptions, realities, and recommendations https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(22)02040-2/fulltext?dgcid=raven_jbs_etoc_email#.Y5lWwNo9Kf0.twitter

🐦🔗: https://twitter.com/OnlyFreshAir/status/1602889843813539840

My lab has started building their own apps for data collection! Below is a link my informal course on how to get started. Here is an example of an app that we use to phenotype oysters. With the app we can also take a picture of the sample - the photo is automatically uploaded to the cloud and a link to the photo is automatically added to our database.

You too can do this! All you need is basic spreadsheet knowledge.
Intro Course from Lotterhos Lab:
https://youtu.be/HEHDmYub28g?t=24

I finally gave in and wow 😮

#chatGPT #organoids

I want to visualize some of my de Bruijn graphs for 🧬 #metagenomics co-assembly, but Bandage is being deprecated after 2022.
https://github.com/rrwick/Bandage/wiki

Could anyone recommend software for viewing de Bruijn graphs?

I'm using .fastg file formats from MegaHit.

Thank you! 🧶

This sounds like an awesome PhD opportunity on a very cool nudibranch!🌊🍋

Dr. Layton is a creative and rigorous researcher and a very kind person. 💯 recommend!

RT @[email protected]

Don’t forget to apply for this funded PhD position! Lots of interesting questions to explore in this system with fieldwork + experiments + genomics. Great opportunities for international collaboration as well. Get in touch! https://twitter.com/molluscular/status/1584857489710776320

🐦🔗: https://twitter.com/molluscular/status/1597707311468122112

haplotype blocks > SNPs for genomic prediction😎

RT @[email protected]

Genomic prediction of carcass traits using different haplotype block partitioning methods in beef cattle
https://doi.org/10.1111/eva.13491
By Li et al

#Haplotype-based Bayesian and GBLUP #methods can improve the #prediction accuracy compared with the individual #SNP approach.

🐦🔗: https://twitter.com/EvolAppJournal/status/1597874070984347648