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Laboratory Automation Platform

The GenoFAB Laboratory Automation Platform supports research processes that involve laboratory operations, data services, and contract services.

Laboratory Automation Platform

Supporting research processes that involve laboratory operations, data services, and contract services.


Automating the research lifecycle

Increasingly, laboratory operations depend on computational operations and operations subcontracted to third parties. In this context, it is no longer possible to automate laboratory processes without taking into consideration the computational steps and the supply chain transactions that affect the outcome of the experimental steps performed by your team in their own lab.


The GenoFAB Automation Platform provides an inclusive framework to coordinate all the steps that determine the success of laboratory process.

For example, many projects involve the design of an expression vector in software (data). The output of the design step is ordered from a gene synthesis company (supply chain). The synthetic DNA fragments received from the gene synthesis company are then assembled in hours to make a library of functional expression vectors (lab). These plasmids are then sent to a sequencing facility (supply chain) and sequencing data are are processed in specialized bioinformatics software(data). Meanwhile, the plasmids are used in house to collect functional data (lab). They are also sent to collaborators to collect additional data (supply chain). Data collected in house and data collected by collaborators are analyzed (data). The outcome of the analysis are used to design a new set of improved expression vectors (data).



Automating your entire process reduces the odds of costly mistakes. Automating flows of data between computational engines, suppliers, collaborators, and lab personnel reduces the risks of errors. Automating laboratory operations increases reproducibility. 

Reducing errors saves the cost of failed experiments. In addition, automation leads to economies of scale and division of labor that reduce the cost of individual steps. 

Automation accelerates workflows. Accelerated processes combined with cost reductions make it possible to collect more and better data with existing budgets.