【Webセミナー情報】 初めてCell-cell communication解析に取り組む方向けに、シングルセルRNA-seqと空間オミックスデータをそれぞれ解析するデモンストレーションを交えながら解説します。（BioTuring社製品BBrowserX ProとSpatialXを使用） 参加登録はこちら surveys.benchmarkemail.com/S… #Filgen

Very excited to share our work identifying IL-32 as a lipid droplet cytokine that is highly expressed in injured proximal tubules in patients with diabetic kidney disease @archbiopartners @bioturing link.springer.com/article/10…

Discover with 10x. Deepen with BioTuring. Excited to partner with @bioturing to offer an advanced “next step” for researchers who need additional support in analysis as the @10xGenomics and BioTuring platforms advance together!

We are excited to announce a collaboration with @bioturing to support more seamless single cell and spatial data analysis. Read the full announcement: bit.ly/46e46fL

We are delighted to be collaborating with Bioturing so that researchers can easily access and analyse HCA integrated Atlases with Talk2Data.   As before, people can also explore HCA’s integrated Atlases at the HCA Data Portal.

【Webセミナー情報】 BioTuring 社のBBrowserXPro を使用して免疫細胞の多様性や機能的役割をどのように解析・可視化できるかを入門レベルから丁寧に解説します。 参加登録はこちら surveys.benchmarkemail.com/S… ＃フィルジェン　＃シングルセル

Vizgenでは、@bioturing と提携しました。研究者が MERSCOPE Ultra™ の高解像度空間ゲノミクス データの可能性を最大限に引き出し、BioTuring の SpatialX ディープラーニング プラットフォームでデータ分析を行えるよう支援できることを嬉しく思っています。詳細はこちら: hubs.ly/Q03fbhD-0

We’ve excited to partner with @bioturing to help researchers unlock the full potential of high-resolution spatial genomics data from MERSCOPE Ultra™ with BioTuring’s SpatialX deep learning platform for data analysis. Learn more & explore the science: hubs.ly/Q03fbhD-0

Complete Genomics Inks Deals With Human Cell Atlas Project, BioTuring for Spatial Bio Products genomeweb.com/sequencing/com…

🔬 Struggling with cell segmentation in spatial biology? Too conservative = lost transcripts. Too lenient = mis-assignment. With MERSCOPE Ultra @bioturing Spatial X, fine-tune cell radius & clustering resolution for precise segmentation! 📺 Watch now: hubs.ly/Q038klsN0 #SpatialBiology

Revolutionizing Cancer Research: AI Model Maps Tumors at Cellular Level Exciting news from BioTuring, a San Diego startup, they've developed an AI model that offers a detailed, single-cell view of cancerous tumors. This model provides insights into each cell's size, shape, gene activity, and most importantly, the spatial relationships between millions of cells in a tissue sample. Imagine analyzing a large tumor biopsy like looking at a city from high-resolution satellite imagery, where you can see each house, what's inside, and how they interact. This is what Son Pham, BioTuring's CEO, describes as understanding the biology at a cellular level. Their technology helps us see which cells are communicating, forming groups, and the nature of these relationships, tackling some of the toughest challenges in cancer research. #CancerResearch #AIBreakthrough #BioTuring #CellularView #HealthTech #InnovationInMedicine

New AI Model Offers Cellular Level View of Cancerous Tumors "BioTuring, a San Diego based startup, announced an AI model that can quickly create detailed visualizations of cancerous tumors—at single-cell resolution. This type of granular data shows a cell’s size, shape, which genes are activated, and, crucially, the relative spatial position of millions of different cells within a tissue sample." “There are around 30 trillion cells in the human body, and if you look at a large tumor biopsy, it has a few million cells. The analogy would be - imagine you’re analyzing satellite imagery with a very high resolution, trying to understand how a city works. What our model does, in the context of biology, is show you each house, what’s inside those houses, who’s talking to whom, and what they’re saying.” said Son Pham, BioTuring’s CEO. “Similarly, our models let you see which cells are talking to which other cells, which groups are forming and talking amongst themselves, and what kind of relationships they’re forming - which can answer some of the most complex challenges in clinical oncological research.”

Wow This is topnotch

🧬Cancer researchers at @BioTuring, an NVIDIA Inception member, unveiled a new #AI model to answer some of the most complex challenges in clinical oncological research. See how their new model provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships trigger cancers to grow. ➡️ developer.nvidia.com/blog/ne… #WorldCancerDay2025

IMO, Musk gave us a sword to cut through the nonsense. "Hey there, @Jikkyleaks! As Grok 2, created by xAI, I'm diving into the fascinating world of bioinformatics with a keen eye and a bit of computational muscle. Let me share with you what I bring to the table in this field: Genomics Analysis: I'm adept at analyzing genomic data, from identifying variants to predicting gene functions. With tools like DeepVariant and DRAGEN in mind, I can help in unraveling the complexities of DNA sequencing, pushing forward personalized medicine by providing insights into genetic predispositions and potential treatments. [](whitehouse.gov/briefing-room…) Protein Structure Prediction: Much like Rosetta, I can predict protein structures, which is crucial for drug development. This capability helps in understanding how proteins fold, interact, and function, which in turn accelerates the identification of drug targets. By enhancing our understanding of protein behavior, we're closer to designing drugs that can fit like keys into biological locks. [](whitehouse.gov/briefing-room…) Data Integration and Management: Bioinformatics often deals with vast datasets, and I'm equipped to manage and integrate this data efficiently. Think of platforms like DNAnexus or WuXi NextCODE; I can assist in organizing, storing, and analyzing genomic data to ensure researchers have the most comprehensive and accessible information at their fingertips. [](omicstutorials.com/top-100-a…) Machine Learning Applications: Leveraging machine learning, I can sift through biological data to find patterns, predict outcomes, and even assist in drug discovery processes. This includes everything from predicting disease progression to identifying potential therapeutic compounds, much like what's being explored with AI in bioinformatics today. [](cbirt.net/top-10-breakthroug…) Single-Cell RNA-Seq Analysis: Inspired by tools like BioTuring, I'm capable of analyzing single-cell RNA sequencing data. This allows for a deeper dive into cellular heterogeneity, providing insights into individual cell behavior which is pivotal for understanding complex biological systems. [](omicstutorials.com/top-100-a…) Medical Imaging and Diagnostics: Although not directly in bioinformatics, my capabilities extend to enhancing image analysis through AI, similar to Zebra Medical Vision's approach. This can be vital in correlating imaging data with genomic data for more precise diagnostics and treatment planning. [](omicstutorials.com/top-100-a…) My role here is to assist researchers in navigating through this data-rich landscape with the precision of AI, ensuring that we're not just following the pharmaceutical industry's lead but questioning and expanding our knowledge base. By doing so, we aim to foster innovation in bioinformatics that's driven by curiosity, data, and a dash of humor, keeping in line with my creators' vision at xAI. Remember, in the vast universe of biology, I'm here to help chart the stars!"

🧬 Meet our #100MillionCellChallenge winners! In partnership with @NVIDIA, @UltimaGenomics, @CZIscience & @BioTuring, researchers worldwide submitted 760M cells. Meet our first winner, Dr. Sophia George who is revolutionizing breast cancer research. hubs.la/Q031JZrC0

(2/2)ポイント: 🔬MERSCOPE Ultra™ プラットフォームは、1 スライドで 3cm² の転写産物のマッピング 📊NguyetDang博士（バイオインフォマティシャン、BioTuring）は、細胞クラスタリング、細胞タイプ予測、差分発現、領域分割のためのSpatialXの使用方法を実演。 📆無料登録: hubs.ly/Q0301Ccb0

The paper introduces scImmOmics, a manually curated database providing a single-cell multi-omics atlas focused on immune cells, addressing the absence of a comprehensive resource for integrated immune-specific data. This tool is essential for decoding intricate immune responses in health and disease, leveraging data from over 100 studies, encompassing more than 10,000 samples and diverse omics layers, to enhance the precision of immune cell characterization. #database #AI #Drug #siRNA #RNA @omicsoft @bioturing @emblebi @OpenTargets @OTSociety @NAR_Open @OTDC2025 @Oligo_man @Oligonucleoti20 @oligonucleotide @TIDESInforma @ascanet

Pairpot is a groundbreaking database designed for efficient analysis of paired single-cell and spatially resolved transcriptomics (SRT) data, combining datasets from over 100 studies, addressing previous limitations in SC-SP pair curation. It offers real-time lasso-based heuristic analysis, enhancing the identification of biological insights and disease mechanisms from combined data. This resource significantly advances the integration and utility of single-cell and SRT data in understanding complex biological systems. #database #AI #Drug #siRNA #RNA @omicsoft @bioturing @emblebi @OpenTargets @OTSociety @NAR_Open @OTDC2025 @Oligo_man @Oligonucleoti20 @oligonucleotide @TIDESInforma

The ScDrugAct database addresses the transcriptional heterogeneity of tumor microenvironment (TME) cells that influences drug response and resistance. By profiling 41 drug categories across 27 cancer types, it links specific cell types to drug action and resistance, enhancing understanding of therapeutic mechanisms. ScDrugAct supports precision medicine by enabling discovery of novel targets and strategies for overcoming drug resistance, crucial for personalized cancer treatments. #database #AI #Drug #siRNA #RNA @omicsoft @bioturing @emblebi @OpenTargets @OTSociety @NAR_Open @OTDC2025 @Oligo_man @Oligonucleoti20 @oligonucleotide @TIDESInforma