Improved QA processes for a Biotech Company

Improved QA processes and new features development for genomics analysis software


Biotech Company


QA, Desktop, DevOps


Healthcare & Life Sciences


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

Project type

AI, Big Data, Machine Learning, CMS, 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 software, one of the client's core solutions.

Suggested solutions from Svitla:

- Built a dedicated QA team, with a Team Lead that follows Agile processes.

- Implemented Test-driven Development (TDD) and Continuous Integration (CI) approaches. 

- Developed a new set of features for the latest version of the client's transcriptome analysis 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). 

- Developed a WPF component for displaying data in the 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 software development.
TDD and CI approaches allowed to reduce the time spent on new software release testing.

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