MyCellome LLC provides services related to cellular analysis and cell-based technologies.

MyCellome

MyCellome LLC

MyCellome | 31 followers on LinkedIn. Big data delivery for interactive visual exploration and novel insights | We build cross-platform, web-browser-based apps for collaborative big data exploration in data intense fields such as multi-omics. Our solutions allow clients to engage in interactive, visual, point-and-click data exploration for the discovery of insights from their high dimensional datasets.  Examples of these insights include – study of cell heterogeneity, discovery of multi-omic relationships, exploration of cell type compositions in tumors or tissue samples, comparing and contrasting gene expression patterns, etc.

| AI/ML veteran | Deep experience in industrial, financial, and healthcare applications |

Santosh Ananthraman

数据纵横师(Big Data Alchemist) , Co-Founder@MyCellome

Xiaopeng Zhu

Instead of the laborious task of creating and emailing out static PDFs of presentations to communicate visual information to your team, how about this novel option? Would you instead like to publish the insights from your high dimensional multimodal multiscale data as a custom, interactive infographic web link that your dispersed global team can access easily to digest and perform what-if analyses on? If yes, please check out our Data Driven Infographic Example at https://demo.mycellome.com and mouse-over the various charts to manipulate. This example uses a benchmark scRNA-seq brain dataset, but our technique is applicable to any data intensive domain. Please use Chrome or Firefox for now (not Safari) when you visit this site. Our platform can be used to rapidly churn out such #infographics . All charts are plugin-able, and all communications are programmable. Please reach out to us to explore a consulting project. We can provide you with a custom data driven infographic-making platform as well as the associated data driven notebooks.

Ask me how. Also see https://mycellome.com/

#MyCellome helps you to rapidly custom-design your #multimodal #highdimensional #selfindexed #datanotebook for #visualanalytics - ask us how! 🔍 Presenting our powerful composable data notebook: ✅ Accessible via web browser, like a desktop app. ✅ Merges best of data notebooks (e.g., Notion/Google Colab/Jupyter) & web app interactivity. ✅ Fully self-contained, self-indexed, reducing data fetch latency. ✅ Dynamic & interactive: explore, visualize & document data. ✅ Composable visualization tools: layer & combine as needed. ✅ Direct interaction: zoom, select cells, & more, with automatic synchronization across views. ✅ Annotations: ensure transparency & reproducibility. ✅ Custom modules: can adapt & integrate best-of-breed community tools via web service. ✅ Speedy & scalable: real-time interactivity for large datasets. ✅ Prioritizes data privacy: work securely without exposing to external servers. ✅ Low-cost model that optimizes data processing, maintenance, and delivery costs. ✅ Rapid implementation for customized data driven business intelligence solutions.

Using a cloud-based system for big data analytics introduces potential challenges, including latency due to internet dependency, data transfer costs, and security concerns surrounding sensitive information stored offsite. Additionally, subscription expenses and vendor lock-in can be drawbacks. In contrast, a local system with self-indexed data offers faster performance, independence from internet connectivity issues, and greater control over security and compliance. The local approach provides flexibility, customization, and avoids ongoing subscription fees, making it a compelling choice depending on specific organizational needs and priorities. 🔍 Presenting our powerful composable data notebook: ✅ Accessible via web browser, like a desktop app. ✅ Merges best of data notebooks (e.g., Notion/Google Colab/Jupyter) & web app interactivity. ✅ Fully self-contained, self-indexed, reducing data fetch latency. ✅ Dynamic & interactive: explore, visualize & document data. ✅ Composable visualization tools: layer & combine as needed. ✅ Direct interaction: zoom, select cells, & more, with automatic synchronization across views. ✅ Annotations: ensure transparency & reproducibility. ✅ Custom modules: can adapt & integrate best-of-breed community tools via web service. ✅ Speedy & scalable: real-time interactivity for large datasets. ✅ Prioritizes data privacy: work securely without exposing to external servers. ✅ Low-cost model that optimizes data processing, maintenance, and delivery costs. ✅ Rapid implementation for customized data driven business intelligence solutions. #dataanalytics #nextgenerationsequencing #multiomics #notebook #precisionmedicine #personalizedhealthcare #multimodal #bigdataanalytics #genetics

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