Big Data


Biotechnological Company


QA, Desktop




C++, C#, Java, WPF, .NET

Project type

AI, Big Data, Machine Learning, CMS, Desktop, Desktop App


Our client is an American biotechnological company that is a pioneer in microarray technology and a leader in genomics analysis, which develops and provides innovative technologies that enable multiplex and parallel analysis of biological systems at the cell, protein and gene level, facilitating the rapid translation of results into biology for a better world.

Business needs:

- Improve current QA processes within the company.

- Reduce costs and time associated with QA work.

- Develop new components for Transcriptome Analysis Console.

Suggested solutions from Svitla:

- Dedicated QA team, with team lead that follows Agile processes.

- Test-driven development (TDD) approach and Continuous Integration (CI). 

- A new set of features added to the latest version of TAC Software to visualize the network of interactions between long coding and non-coding RNA and small non-coding RNA (e.g., miRNA, snoRNA, and scaRNA). 

- WPF component for displaying data in  GenMAPP Pathway Markup Language (GPML) format.

Value delivered

Svitla provided a Dedicated QA team in a few weeks.
Svitla is responsible for the Transcriptome Analysis Console development.
TDD and CI approach allowed to reduce the time spent on new software release testing.

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