A drag-and-drop web interface that allows researchers to design complex biological experiments without writing code, using pre-built components for common laboratory operations.
A comprehensive REST API and Python SDK that enables researchers to programmatically design, schedule, and monitor experiments, integrating laboratory automation directly into computational workflows.
Fully automated execution of biological protocols in certified laboratory facilities using robotic liquid handlers, incubators, and analytical instruments, with real-time monitoring and status updates.
Automatic capture, organization, and storage of all experimental data including raw instrument outputs, metadata, execution logs, and processed results in a centralized, searchable repository.
Comprehensive sample management system that tracks biological materials throughout their lifecycle using barcoding and LIMS integration, from receipt through processing to final disposition.
Live dashboard showing experiment progress, instrument status, and preliminary data as protocols execute, with configurable alerts for completion or deviation events.
Pharmaceutical researchers use Transcriptic to run large-scale compound screening campaigns against biological targets. By programming automated protocols for cell culture, compound addition, and assay readouts, they can test thousands of compounds in parallel without manual intervention. This accelerates early-stage drug discovery while ensuring consistent assay conditions and reducing variability that can obscure true hits.
Synthetic biologists leverage Transcriptic's automated liquid handling for Gibson assembly, Golden Gate cloning, and other DNA construction methods. The platform enables rapid iteration through design-build-test cycles by automating tedious pipetting steps and ensuring precise reagent mixing. Researchers can test multiple genetic construct variants simultaneously, dramatically increasing experimental throughput for metabolic engineering and genetic circuit development.
University research groups use Transcriptic to enhance the reproducibility of their published work. By encoding experimental protocols in the platform's digital format, other labs can exactly replicate conditions and procedures. This addresses the reproducibility crisis in biological sciences while allowing students and postdocs to focus on experimental design and data analysis rather than repetitive manual techniques.
Early-stage biotech companies without dedicated laboratory facilities use Transcriptic as their virtual wet lab. They can conduct proof-of-concept experiments, generate data for investor presentations, and advance projects toward milestones without capital expenditure on lab equipment or hiring specialized technical staff. This reduces time to initial data and extends runway by converting fixed costs to variable experimental expenses.
Clinical researchers process patient-derived samples for biomarker discovery and validation studies. Transcriptic's automated systems ensure consistent sample handling, reduce batch effects, and maintain sample integrity through standardized protocols. The platform's audit trails and sample tracking provide necessary documentation for regulatory compliance while enabling high-throughput processing of precious clinical specimens.
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