Dotmatics Vortex Data Visualization
Dotmatics Vortex Data Visualization is a powerful platform designed for advanced analysis and visualization of massive datasets, enabling complex data manipulation, statistical and cheminformatics analyses, interactive high-performance visualizations, collaborative workflow management with shareable workspaces and templates, and seamless integration of diverse data types including millions of compounds, genomic sequences, and chemical structures.
Perform Advanced Analysis & Visualization
Leverage responsive interaction and manipulation of complex representations of massive datasets. Perform data manipulation, statistical analysis, and sophisticated plotting capabilities required to explore and understand any complexity and size of data.
Manage Massive Datasets
Manage large datasets, such as tables of millions of compounds by thousands of descriptors or cells containing whole genome sequences. This includes native data mining and statistical, cheminformatics analysis functions.
Enable Collaborative Research
Simplify scientific process automation and workflow management by importing datasets from multiple sources and exporting results for presentations, decision making, or further processing. Save templates for standardized team templates and share workspaces for collaborative analysis and decision making.
Powerful Data Visualization & Analytics
Utilize Specialized, Built-in Tools
- Conduct cheminformatics analyses, including R-group, enumeration, SAR, and matched molecular pairs.
Native Datasets
- Understand, refine, and select from large and complex data sets of millions of compounds by thousands of descriptors or cells containing whole genome sequences.
Share Workspaces
- Collaborate on scientific analysis through shareable workspaces and reusable templates.
Run Various Data Types
- Visualize numeric, textual, image, and chemical structure data.
Create Interactive Visuals
- Generate high performance visualizations, including interactive charts and tables.
Conduct Data Loading
- Load data from many types of files directly from databases.
Related
Data Visualization & Analytics Software
The Data Visualization & Analytics Software offers versatile, integrated scientific workflows and intuitive exploration tools—including curated analysis frameworks, advanced ad-hoc capabilities, and specialized cheminformatics functions—enabling both bench scientists and senior data scientists to efficiently visualize, analyze, and share complex, high-volume scientific data through customizable charts, tables, and interactive graphical suites to accelerate innovation and optimize research data lifecycle management.
FAQ center
The FAQ center explains that lab automation uses data science to create intelligent systems reducing human input, digital labs fully digitize operations for efficiency, future labs will heavily rely on robotics and integrated data management, lab compliance ensures safe and effective lab practices, data integrity ensures reliable data quality, scientific data management systems (SDMS) facilitate safe and accessible scientific data handling, and open data differs from FAIR data in accessibility and usability requirements.
Le cahier de laboratoire électronique pour l'entreprise, conçu par des scientifiques pour les scientifiques
Le cahier de laboratoire électronique (ELN) de Dotmatics, conçu par des scientifiques pour des scientifiques, offre un cadre intuitif et sécurisé permettant de capturer, stocker, rechercher et partager divers types de données expérimentales (molécules, réactions, séquences, images, vidéos, texte, données numériques) via des protocoles flexibles, des tableaux de bord intelligents, une intégration avec d'autres applications Dotmatics, et un hébergement cloud favorisant la collaboration interne et externe tout en protégeant rigoureusement la propriété intellectuelle.
Dotmatics Lunch & Learn Seminar (April 14, 2023)
The Dotmatics Lunch & Learn Seminar held on April 14, 2023, at 판교역 테크원타워 featured comprehensive Vortex training sessions covering data import, visualization, structure search, clustering, PCA analysis, R-group analysis, and Matched Molecular Pair analysis to enable researchers to analyze and propose chemical structures effectively for their studies.
Data Management, Collaboration, and Workflow Optimisation: The Three Keys to Small Molecule Discovery Success
The article emphasizes that despite biologics' prominence, small molecule drug discovery is experiencing a renaissance driven by advances in screening, target exploration, and AI, but overcoming challenges like rising costs, data management, fragmented workflows, and CRO reliance requires success in three key areas: next-generation data management, enhanced cross-disciplinary research collaboration, and workflow optimization.
San Diego Happy Hour
The San Diego Happy Hour event at Farmer & The Seahorse on September 28 from 4-6pm offers attendees drinks, appetizers, networking opportunities, and presentations on Dotmatics' chemistry and biology solutions, including a customer testimonial.