Big Data


Genomics Analysis App




Healthcare & Life Sciences


Angular, ASP .NET, MS SQL, Swagger

Project type

Big Data, Machine Learning, AI, Desktop App


Our client is an American biotechnological company, a pioneer in microarray technology, and a leader in genomics analysis. The desktop application enables various government and private institutions to execute multiplex and parallel analyses of biological materials on protein and gene levels, facilitating the rapid translation of results.

Business needs:

Migrate from old architecture solutions to a client-server architecture with desktop and web clients to provide access from different platforms.

Suggested solutions from Svitla:

- Quickly assembled an expert team consisting of 2 developers and 2 QA testers (auto and manual).

- Used WPF graphical subsystem and ASP.NET Core 2.2 as the main stack.

- Covered new code with tests using a combination of Jenkins, integration tests, smoke tests, performance tests, and virtual machines. 

- Provided proper documentation to ensure a quick engagement of new developers.

- Developed a web part based on Angular 8, material Angular, and signalR for real-time communication. 

- Created a CI/CD pipeline based on Jenkins and integrated smoke tests in CI/CD.

Value delivered

A completely new level of the application’s productivity due to a new architecture and upgraded technology stack.
A smooth and agile development process that is based on consistent communication between the Svitla Team and the client.
Ability to add features on the go, minimizing the time of new updates launch into production.
Implementing CI/CD improved overall code quality and speed of product releases.

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