Top Tweets for #Reproducibleresearch
20% to 60 % of published bioinformatics analyses can't be reproduced.
Not because of bad science.
Because no one documented the parameters when it mattered.
Snakemake. Docker. GeneSys.
That's our answer.
#ReproducibleResearch #FAIRdata #Bioinformatics
🎯 𝐋𝐀𝐒𝐓 𝐃𝐀𝐘 𝐓𝐎 𝐄𝐍𝐑𝐎𝐋𝐋 🎯 Join our 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐎𝐧𝐥𝐢𝐧𝐞 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐆𝐢𝐭𝐡𝐮𝐛 𝐟𝐨𝐫 𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬: https://t.co/dM4hbFgMO6
#GitHub #Bioinformatics #VersionControl #DataAnalysis #ReproducibleResearch
🚀 T v0.51.3 is out! 🚀
A massive step forward for #ReproducibleResearch & data observability!
Key highlights:
- Soft-Fail Semantics: Captured errors become artifacts. Pipelines keep running; failures are first-class data.
- Diagnostics Engine: Transparent interop + explicit introspection. Track every warning across the DAG.
- Death to Null: Strict NA enforcement. No silent propagation. Ever.
- Native Stats: OCaml-native scoring for XGBoost, Random Forest, & LightGBM. Models can be exchanged from R to Python to T using either PMML or ONNX!
Complete changelog: https://t.co/MTlyAgTJWp
quick-start:
`nix shell github:b-rodrigues/tlang`
Learn more: https://t.co/MfpH0n9PzB
#TLang #DataScience #FunctionalProgramming #NixOS #RStats #Python
🆕 New guest post on the blog!
Discover nycOpenData, an R package that provides tidy, reproducible access to NYC Open Data APIs — perfect for teaching, research, and civic data analysis.
🔗 https://t.co/7jRAVo9sYL
#RStats #OpenData #DataScience #ReproducibleResearch #CivicTech
Mientras otros trabajan tres días más, tú ya estás de descanso. 😎
El cuarto día vuelves, entregas el reporte actualizado y reproducible…
Y escuchas el clásico:
“¡Increíble! Pensamos que esto tomaría semanas.” 🎉
#ReproducibleResearch #ProductividadData #PythonYR
➡️ Link a la Noticia: https://t.co/ULjc5B2f8B
#Quarto #RStats #Python #Julia #DataScience #ReproducibleResearch #OpenSource #Programming #Analytics #DataVisualization
We are 2 DAYS away from the #CMSAC in-person registration deadline! https://t.co/xjSVVluFcp with the full schedule available here: https://t.co/ZqwRIq1o5F including this year's #ReproducibleResearch competition finalists! (more in thread) #sportsanalytics #datascience
#SciX makes research more efficient by linking data, code, and publications, so findings can be tested, trusted, and built on faster. More reproducible science, less wasted effort, more discoveries. #OpenScience #ResearchIntegrity #ReproducibleResearch #EfficientResearchWorkflows
💡 Y tú, ¿Recuerdas la primera vez que descubriste R Markdown (o Jupyter, Quarto…)?
¿Cómo cambió tu forma de trabajar con datos?
Tutorial gratuito: https://t.co/CbS9Lc7nBq
#RStats #RMarkdown #ReproducibleResearch #DataScience #Productivity #DataCommunity
💡 Recordatorio periódico: R Markdown no es solo para “documentar”.
Es la diferencia entre llorar cada vez que cambian los datos… o resolverlo con 2 clics y disfrutar el tiempo extra. 🚀
#rstats #posit #stats #datascience #ReproducibleResearch
#OpenScience #Analytics
Reminder that TOMORROW is the deadline to submit an abstract for the Carnegie Mellon #SportsAnalytics Conference (https://t.co/zxqJtsjnZU) #ReproducibleResearch competition! #statistics #datascience #AI
Interested in presenting your research at the annual Carnegie Mellon #SportsAnalytics Conference on Oct 24-25? Consider entering our Reproducible Research Competition! Submit your abstract by Friday August 15th and compete for cash prizes! https://t.co/9AhyoYxbdM
The NEW website for the annual Carnegie Mellon #SportsAnalytics Conference is live! https://t.co/zxqJtsjnZU
Register to attend Oct 24-25, submit abstracts for #ReproducibleResearch competition (by Aug 15th), present posters (by Oct 3rd), check out speaker info, w/ more TBA!
With Rafay, bioinformatics teams get standardized, reproducible, GPU-ready environments deployed in minutes.
No setup headaches. No infra sprawl.
Learn how to get started: https://t.co/RwbE7KSalv
#Bioinformatics #Genomics #GPUCloud #ReproducibleResearch #RafayPlatform
🧪 Reproducibility 101: Always use set.seed()
set.seed(42)
sample(1:100, 5)
Make randomness predictable.
#rstats #ReproducibleResearch #DataScience
From Quarto notebook to dashboard by Peter Hahn https://t.co/nPkmQSHmq9
#rstats #DataScience #MachineLearning #BigData #Analytics
#RMarkdown #QuartoPub #ReproducibleResearch #OpenScience
Simplify your citation process in Quarto with CiteDrive for RStudio. Make research easier and faster! https://t.co/N1R4uH2cqg #RStats #Analytics #MachineLearning #DataScience #ReproducibleResearch #QuartoPub
Bring your #R markdown workflows to the cloud with #JuliaHub. Run fully functional #RStudio on powerful infrastructure—no setup needed, no #code changes required. Watch how it works.
#JuliaLang #CloudComputing #ReproducibleResearch #DataScience #ScientificComputing #RStats
Effortless citation management in Quarto with CiteDrive for RStudio! Simplify your research workflow today. https://t.co/N1R4uH2cqg #RStats #DataScience #MachineLearning #Analytics #OpenScience #ReproducibleResearch #RMarkdown #QuartoPub
Automate your reports and save hours every week! 📊🕒
Check out this R Markdown guide by @CuriousJoe 👇
https://t.co/fTOaWZBiba
#rstats #RMarkdown #DataScience #Automation #Productivity #ReproducibleResearch
🧠 “Ten simple rules for teaching yourself R”
Autores: un combo épico de ecólog@s y cracks que aprendieron R por su cuenta.
👉 Enlace: https://t.co/d7Hg2zmROM
#CodingCommunity #OpenScience #SelfTaught #ReproducibleResearch #Tidyverse #RForBeginners #LearnToCode
#CienciaDeDatos
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