BISC Global Receives a Grant for Immune Repertoire Analysis Software Development

BISC Global, an international bioinformatics consulting company with offices in Belgium, USA (Boston and San Francisco) and Switzerland, was awarded a five hundred thousand euro research and development grant from Flanders Agency for Innovation and Entrepreneurship (VLAIO). This grant will support further development of BISC Global’s immune repertoire sequencing data analysis algorithms and software.

With the development in sequencing technologies and personalized medicine, there is a growing need to analyse the immune repertoire (proteins produced by adaptive immune systems). BISC Global aims to build an easy-to-use solution, offering the latest in immune repertoire analysis algorithms, and allowing researchers to analyse their data in a reproducible and standardized way.five hundred thousand euro

“We are incredibly pleased to receive this support from VLAIO. This will enable the company to further build and optimize its analysis algorithms and quickly bring to the market an easy-to-use, full-scope immune repertoire sequencing analysis application, allowing our customers to bring their immunology research to the next level and progress towards the goal of personalized medicine.”

Maarten Braspenning, CEO

About BISC Global

Founded in 2017, BISC Global has grown to be a Top 10 Bioinformatics Consulting and Services Firm supporting world’s leading pharmaceutical and biotech companies. Through our offices in Ghent, Belgium; Basel, Switzerland; Boston, MA; and San Francisco, CA; BISC Global provides data-analytics, custom tool/pipeline development, and cloud solutions delivered on-site or remotely. By leveraging our global workforce of expert consultants, we support analysis across multiple domains, including machine learning (data mining, pattern recognition, image analysis, (un)supervised learning, neural networks, deep learning, etc.), bioinformatics (single-cell transcriptomics, metabolomics, metagenomics, epigenomics, etc.), and statistics (experimental design, mathematic modelling, signal-to-noise enhancement, and independent data cross validation).

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