💻 Working with scRNA-seq data every day? In our latest blog, we share practical tips and tricks to streamline your analysis and improve efficiency. Read the full post here: https://lnkd.in/egHJQwUM
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As the Single Cell Discoveries data team’s resident tips and tricks wizard, Sofia Drobysheva has pulled together a great set of terminal hacks for computational biologists and bioinformaticians. Learn how to: 🧠 Speed up navigation with custom aliases ⚙️ Edit configs and other files directly in the terminal with sed or vim 🌿 Automatically display your current Git branch in your prompt These are the small, everyday improvements that make bioinformatics workflows faster, cleaner, and more reproducible! A must-read if you spend your days in the terminal 👇 🔗 https://lnkd.in/egHJQwUM
💻 Working with scRNA-seq data every day? In our latest blog, we share practical tips and tricks to streamline your analysis and improve efficiency. Read the full post here: https://lnkd.in/egHJQwUM
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📘 The Essential Data Filtering Guide — Download for Free! Decluttering your evidence early will save time and money in document review. With modern data filtering and culling techniques, you can drastically reduce your initial data volumes. Learn how in our free eGuide. 🔗 https://bit.ly/3iselHp
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The recent Financial Conduct Authority benchmarking study of 13 climate-risk data vendors revealed a market still struggling to meet regulatory expectations. Dispersion, weak data governance, and poor financial linkage mean one thing for lenders and insurers: climate-risk models aren’t yet PRA-ready. At Map Impact, we built our datasets - HeatView, DroughtView, WildfireView, and BiodiversityView - to meet those supervisory standards from day one. Read more in our latest Insight Article: https://lnkd.in/euiAdYi4 Contact us to find out more: info@mapimpact.io
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You can now access reliable financial data from S&P Global directly in Anthropic's Claude, with no engineering lift required. Ask questions like, “How do Company A and Company B compare financially over the last 3 quarters?” and get fast, precise answers grounded in Capital IQ Financials, earnings call transcripts, company intelligence, and more. No searching through lengthy documents or dashboards, just clear insight, delivered in conversation. Get started: https://okt.to/tg4OyI
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Making smarter decisions starts with data that’s decision-grade. Christopher Frank writes about how to evaluate the information you’ve collected for reliability and context before using it when the stakes are high. Swipe below for more, and check out the full summary of this latest chapter from Decisions Over Decimals (written with Oded Netzer and Paul Magnone) here: https://lnkd.in/gf_YwC2r
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💧 At Aqua Analytics, our AquaNRW software tackles water loss challenges. Using AI-driven analytics and real-time data, our team helps localise leaks and monitor performance. The result? Reduced water loss, improved efficiency, and more reliable service for communities. 🎯
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"This isn’t data we’ve compiled or something we’ve put together internally. It’s fully independent." Arpan Gautam from Noon Capital shares with Stephen Henkel, showcasing the Accountable Proof of Solvency dashboard.
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Data rich > insight poor Did you miss Matthew Knuth, CMRP, CMRT, CRL and Bryan Bieschke, CMRP reviewing best practices on analyzing data last week? Don't worry, you can catch it all at https://lnkd.in/gwVXhG2p
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The latest Scioto Analysis newsletter is out! This month’s edition dives into the data, analysis, and stories behind smarter public policy in Ohio and beyond. From cost-benefit insights to real-world applications, we’re sharing the evidence that drives better decisions. If you care about how rigorous analysis can shape more effective, equitable policy, you’ll want this in your inbox. Subscribe at the bottom of this page: https://lnkd.in/gFbQndZ2 Here’s a quick preview from today’s newsletter 👇
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By integrating Powerlytics’ accurate source of truth financial data, S&P Global can now assess private company credit risk with far greater precision — even when traditional financial disclosures aren’t available. The result is a more data-driven, accurate view of creditworthiness across millions of U.S. private businesses. Read the full case study here: https://lnkd.in/ewU24kyi Moody Hadi, Sajjad F., S&P Global, Matthew Reed, Kevin Sheetz, Don Chapman, Joe Kozeniewski Patrick Brown
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