Omics Studio’s Post

Lots of new features have been implemented in PanHunter during the first half of the year! - Flexible workflows to support single-cell and pseudo-bulk transcriptomics - Dedicated app to investigate and ensure the quality of your proteomics data - True multi-omics support to correlate and analyze your data at all levels Check out the changelog in PanHunter’s Knowledge Center to see much more! https://hubs.ly/Q02BRmd30 Start your analysis with PanHunter: https://hubs.ly/Q02BRk9p0 #researchneverstops #panhunter #transcriptomics #proteomics #omics #dataanalysis #datascience

Lots of new features have been implemented in PanHunter during the first half of the year! - Flexible workflows to support single-cell and pseudo-bulk transcriptomics - Dedicated app to investigate and ensure the quality of your proteomics data - True multi-omics support to correlate and analyze your data at all levels Check out the changelog in PanHunter’s Knowledge Center to see much more! https://hubs.ly/Q02BRm6z0 Start your analysis with PanHunter: https://hubs.ly/Q02BRmQt0 #researchneverstops #panhunter #transcriptomics #proteomics #omics #dataanalysis #datascience

🚀 Next stop: 𝗟𝗮 𝗥𝗼𝗰𝗵𝗲𝗹𝗹𝗲 for 𝗦𝗜𝗠𝗦 𝟮𝟬𝟮𝟰! 🧬✨ Want to explore the future of high-precision spatial proteomics? Stop by our booth and let's chat! 👩🔬🧑🔬 🔍 Let’s turn your data into discoveries! #Ionpath #MIBITechnology #Proteomics #Dataanalysis 

New Release Alert! 🚀 We’re excited to announce the release of the latest version of Omics Playground, packed with powerful new features and improvements! 🎉 In our latest blog post, we dive deep into all the updates designed to make your proteomics and RNA-Seq data analysis more efficient and interactive. Here’s a sneak peek of what’s new: ✨ New guided data upload process ✨ Additional normalization methods for proteomics data ✨ Possibility to skip missing values imputation for more control ✨ Expanded support for 290+ species ✨ Summary report download option and enriched information on modules and plots!🔍 ...and much more! 👀 Check out the full list of updates and improvements in our blog: https://lnkd.in/exGWFjst #omicsplaygroundupdate #bioinformatics #computationalbiology #omicsvisualization #proteomics #metabolomics #rnaseq

Maximize omics data interpretation by centralizing your data storage and leveraging the power of PanHunter! Dedicated module guides you through uploading your sample table and abundance data via user-friendly interface. We support raw count matrices from transcriptomics and protein intensity matrices from proteomics. Omics data should not be stored in silos! Learn how to easily upload your transcriptomics and proteomics datasets today: https://hubs.ly/Q02HfnT90 #researchneverstops #panhunter #omics #transcriptomics #proteomics #dataanalysis #datascience

🔬🧬 New Tool for Single-Cell Proteomics Data Analysis! 🧪🖥️ In the latest issue of Nature Methods, Wei Li, Fan Yang, Fang Wang, Yu Rong, Bingzhe Wu, Han Zhang, and Jianhua Yao publish scPROTEIN, a novel framework specifically designed to address the complex challenges of single-cell proteomics. ⚠️ Challenges include peptide quantification uncertainty, data missingness, batch effects, and high noise levels can severely impact the analysis of single-cell proteomics. 🚀 scPROTEIN uses multi-task heteroscedastic regression model to estimate peptide uncertainties and a graph contrastive learning model to enhance cell embedding. 💡 Key Features: 🎯 Protein data denoising 📊 Batch effects removal and precise cell clustering. 🚀 Cell-type annotation. 🔬 Single-cell spatial proteomics, aiding tumor microenvironment studies 🥇 scPROTEIN outperforms existing methods in cell clustering and batch correction 📚 Nature Methods: https://buff.ly/3wHPwP4 👩💻 GitHub: https://buff.ly/4aePKLn 📢 Join the Conversation 📢 Share your ideas, methods, and tools in the comments! 👇 💬 #Proteomics #Bioinformatics #SingleCellAnalysis #scPROTEIN #Biotechnology #PharmaLeaders #HealthcareInnovation

Streamline your proteomics research with Biogenity's team of experts in data analysis! Our team of statisticians, bioinformaticians, and AI specialists will perform the data analysis for you, freeing up your time to focus on the biology of your samples. With visualizations ready for presentation and an easy-to-follow report, you'll get a deeper understanding of your regulated proteins and their biological context. #Proteomics #DataAnalysis #Biogenity

Development of CURTAIN and CURTAIN-PTM unique web-based tools for exploration and sharing of MS-based proteomics and PTM data https://lnkd.in/eMieEXTP #AlphaFold #MassSpec #MassSpectrometry #Proteomics Aligning Science Across Parkinson’s | ASAP

📈 Trends in Omics Categories: A Year in Review!** Over the past 12 months, we have observed an almost flat interest in omics sub-categories. Genomics is the top searched topic and proteomics is the second top! When is the dip in interest? Christmas! 🎄 #Bioinformatics #Omics #DataTrends #ResearchInsights

Mark your calendars! Matterworks CEO Jack (J.M.) Geremia, PhD will be on the main stage at #SynBioBeta2024 on May 8th to speak about the power of machines & molecules for phenotype predictions. Summary: Predicting phenotypes from the breadth of available omics data represents the next frontier in #biology. Bridging the gap between genotype and phenotype lies in the broad-scale interpretation of these data sets. But omics data is often highly unstructured, resulting in opaque and useless interpretations. Fortunately, these data can now be deciphered by machines. This session introduces the ability of machines to interpret complex, unstructured data from molecular omics via Large Spectral Models (LSMs). As a result, #metabolomics — which has been under-studied in favor of #genomics, #transcriptomics, and #proteomics — can now provide the necessary link for phenotype prediction. #artificialintelligence #machinelearning #biotechinnovation