Nitin Tiwari’s Post

GenoQuery: a tool to analyze genomic data using simple English. The aim is to provide an intuitive tool for researchers in labs who still use Excel for their daily workflows. I would greatly appreciate a few minutes of your time to answer some questions that will help improve the tool: 1. What features for data exploration would make a tool like GenoQuery indispensable to you? 2. How do you currently handle genomic data analysis, and what improvements do you seek? 3. What concerns might you have about integrating a new tool like GenoQuery into your existing processes? Your feedback is crucial and will guide the development of this tool. Feel free to add any other thoughts or ideas you have about GenoQuery. Thank you for your input! #Genomics #DataAnalysis #Innovation #LLM buildspace

🎉 Recently Me and Shubham Shah have participated in the Code Unnati Innovation Marathon 2023-24! 💡 We presented a project titled "Crop Recommendation System", which focused on predicting the best crops based on various parameters. 📌 Project Highlights: Developed a React-based GUI for an interactive user experience. Built an admin panel and backend using Flask to manage data and models. Applied Machine Learning Classification algorithms and ensembling techniques for accurate crop recommendations. Explored advanced possibilities, including multilabel classification, using PCA, clustering, and Hopkins statistics to refine the system. 🚀 It was an incredible learning journey, and I'm excited about the future potential of this system! 🔗 GitHub: https://lnkd.in/drAFC-ew #InnovationMarathon #CodeUnnati #MachineLearning #CropRecommendationSystem #React #Flask #PCA #HopkinsStatistics #Clustering #AIinAgriculture #AgriTech

We recently launched our first application powered by a large language model (LLM), developed in collaboration with our partners at DATAG. We're excited to share insights into the journey of bringing this project to life, including our thought process during development and some key learnings we've gained. If you're curious about: - How we aligned our LLM system with the product vision, - The viability of using Open Source LLMs, and the scenarios where they work, - Strategies for utilizing different models to tackle various problems, - Best practices for preparing a dataset to fine-tune an LLM, - Our approach to managing memory and context, Check out our latest blog post: https://lnkd.in/eXNF27uF

#DNA-encoded library (DEL) technology is like using a super-smart fishing net that only catches the best fish in the sea of possibilities. DyNAbind has made this net smarter by: 1. Creating dynamic libraries: Imagine if the net could change its shape or size to catch different kinds of fish. DyNAbind’s libraries keep updating themselves to grab better and more specific #molecules. 2. Using a path-coding algorithm: This is like having a GPS tracker on each fish caught. It helps to make sure they know exactly what they’ve caught, reducing mistakes. 3. Binding profiler validation: Once they’ve caught some potential fish (molecules), they have a quick way to check if these are the right kind of fish for making medicines, saving time and effort. Learn how to make the process of discovering #new #drugs faster and more accurate by using these advanced technologies to find the best starting points for new medicines. Download the whitepaper! https://bit.ly/3UpLaE2 .

The new version of the SNPLinkage #rstats package v1.2.0 is now released and includes a new vignette to show how you can use it with any kind of correlation matrix (possibly #RNASeq) and how to customize the appearance. The vignette is available here on Dropbox, it's an HTML file so you may need to download it first before being able to view it correctly: https://lnkd.in/d4Ytr28g The update on #CRAN may take some time because of some issues with #Bioconductor dependencies, so if you use R >= 4.3.3 you should install it from the Git repositories using remotes or devtools. https://lnkd.in/dz-nCgei https://lnkd.in/dEM3HXuT If you have any issues with installation have a look at how it's done in the Dockerfile. https://lnkd.in/d5uRuAmA #snp #genetics #genomics #dataviz

THE ENTIRE PORTOTYPING IS DONE LES GOO

Echtvar is a high-performance variant annotation tool written in Rust, capable of processing up to 1 million variants per second while reducing data storage requirements to just 1.2 bits per variant. It optimized for filtering variants (i.e., by allele frequency, homozygosity, CADD scores, etc.) from large datasets, such as dbNSFP or gnomAD. #bioinformatics #Rust #genomics

Check out the latest Zeenea features! #datacatalog #continuousdelivery #data #datamarketplace #dataliteracy #dataintelligence #datadiscovery #analytics #selfserviceanalytics #bi

May the festival of Pongal bring prosperity, happiness, and good health. May your homes be filled with the joy of the season, and may the harvest yield abundance. Department of CSE Data Science Wishing You Happy Pongal! #Pongal #datascience #dataquest #festivalofharvest

[RELEASE 💡] What's New at Zeenea? 🔹 Bookmark your favorite Topics 🔹 Switch between Zeenea Studio and Explorer on an Item’s detail page 🔹 New Overview Panel in Zeenea Studio 🔹 Trigger a script after a scanner job 🔹 Export Dataset Fields in Zeenea Explorer 🔹 Retrieve Contacts via API Check out our #ProductRelease for more info 👉 https://hubs.ly/Q02QLf1y0 #data #zeenea #datadiscovery #datacatalog #enterprisedatamarketplace