#AccessMicro is proud to launch our negative results collection, celebrating the best negative results studies published since the platform’s launch. Read the introductory editorial by Elisabeth Bik @MicrobiomDigest and browse the collection: https://t.co/TsgeS7BZCJ #OpenScience
In the clinical NGS world, what do people use for LIMS/ELN?
Is it pretty much everyone builds their own, or are there commercial systems out there with decent market penetration?
Autre conseil : ne tapez pas vos mots de passe pendant vos visioconférences.
L'état de l'art du machine learning est capable de reconstituer une grosse partie de ce que vous tapez à partir uniquement de la bande sonore.
https://t.co/wPrZU98Sl3
Nous avons interviewé @brodriguesco à propos de son dernier livre "Building reproducible analytical pipelines with R". Pour ses exemples de code reproductible, il réutilise les données ouvertes de l'Observatoire de l'habitat.
https://t.co/xkAIySmRnA
@gibbological @BioBohmann@isbsci Very nice work.
Quick question regarding shallow shotgun data from study A. Would it be possible to take advantage of shotgun data to compare which SCFA-related trends can be found using typical shotgun functionnal output (be it GO / Pathway) vs MCMMs SCFA production predictions?
🚨The FDA has approved Vowst, the first orally administered fecal microbiota product for the prevention of recurrence of Clostridioides difficile infection 🦠
#MedTwitter#GITwitter#IDTwitter#Cdiff#microbiome
https://t.co/biYydzYF7w
[EVENT] ✦ DATA SCIENCE CONTEST - VITAFOODS 2023 ✦
🏆 Win a 10-day data scientist consultancy or obtain a 20% discount.
➡️ Submit your project: https://t.co/0wPrbj0B80
🗓 Deadline: May 11th
Find out more: https://t.co/yfFXmMkwK4
#Contest#Datascience#Food#machinelearning
@jsantoyo@GigaScience Great tool! How do you think it relates to another recently published tool called SCRuB? (https://t.co/G6oU8n2LxN). Are they complementary or competing tools?