Osama Rashad’s Post

Is your quality system performance lagging because the size of the database is growing? Archive that data! Not only will your system performance improve, you can transform your data from disparate sources into an unified data model that is ready for next generation Analytics and AI tools. Talk to Dillon about how we can help.

Got a minute? Here is a quick video on how data archiving can help improve your Lab Systems 🔬🧬 ZONTAL #ontimeedge

See some new data visualization tools available in Ramona's user interface! Check out our newest blog post to learn more about how we can accelerate your assays by giving you easy measurement tools, colormaps, and more! Thanks to Mark Harfouche and Aurélien Bègue for your work! #scicomm #zebrafish #data #microscopy #biology https://lnkd.in/ejzmrtEV

At Caltech, Dongwan Kim and I used to literally tape a transparent protractor to our CRT monitors to take measurements of angles with our microscopes. At Ramona we don't have a digital angle tool just (yet! is the measurement of angles useful for your workflow in microscopy? let me know!) but we can let you draw lines, rectangles, and ellipses really fast to get a quick sense of your biology in real time!

Over the last 6 or 7 years I have been immersed in the world of Data Modelling, exploring the concepts introduced in the book "Developing High Quality Data Models" by the late Dr Matthew West, and implementing them in the MagmaCore library along with a small group of interested parties. There have been many valuable insights and lessons learned, but also some unexpected challenges, particularly in the context of practical implementation. In this blog, I share my experiences and the lessons learned from applying these tools in real-world scenarios, and explain some of the problems I believe still need to be addressed, both in the library and in model presented in the book. I hope to work on resolving some of these problems in the coming months and years. https://lnkd.in/ey4NNEmh

Today’s the day! Join us and Aga Rasińska to learn how to improve your data analysis pipelines for life science projects 🧬 We’ll review the benefits and limitations of using targets and Nextflow, focusing on a real-world example ➡️ a single-cell transcriptomics pipeline. Here’s what to expect: • Introduction to data analysis pipelines • Coding session • Q&A: Time for all your questions and discussion. This session offers practical advice and real-world insights to help you refine your data analysis techniques. Register here: https://lnkd.in/duSfAc6M #lifesciences #ShinyGathering #datascience #dataanalysis

Day 45 of #100DaysOfCode : Delved into 2D array operations today! Solved problems related to row-wise and column-wise input, performed linear search over 2D arrays, computed row-wise and column-wise sums, and identified the largest row sum. Strengthening skills in working with multi-dimensional data structure

DATA LOOPS; DO WHILE (i LE 10); i+1; END; RUN; DATA LEEPS; DO UNTIL (i GE 10); i+1; END; RUN; WHAT WILL BE THE OUTPUT FOR LOOPS AND LEEPS DATASETS? #SAS_Challenge #ClinicalResearch #ClinicalTrials #DrugDevelopment

Transform Maintenance with Real-Time Analysis 🧪✨ Combining lab analysis with real-time data empowers you to make well-informed decisions about your maintenance routines. Track the impact of specific actions on your equipment with the support of big data and rigorous lab science. Stay ahead with smarter maintenance strategies! #BigData #LabScience #EquipmentMaintenance

#Survival_analysis: A primer for the clinician-scientists To learn decision analytic models like decision trees and Markov models in a one-to-one setting: https://lnkd.in/dqTpcvTM. To join our #R_course: https://lnkd.in/gG9r364n