BISC Global is founded by an experienced team of bioinformaticians, statisticians and business leaders, with the goal of helping its customers to overcome their challenges in data-analysis, pipeline automation, visualization and compute environments.
Founded in 2017, we have 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, BISC Global supports a variety of data analysis tools, including machine learning (data mining, pattern recognition, image analysis, (un)supervised learning, neural networks, deep learning), bioinformatics (single-cell transcriptomics, metabolomics, metagenomics, epigenomics), and statistics (experimental design, mathematic modelling, signal-to-noise enhancement, and independent data cross validation).
BISC Global can assist with:
Helping customers to analyze, visualize and interpret their data.
Custom Tool Development
Building custom scripts, pipelines, algorithms, user interfaces, databases, etc for its customers.
Setup and management of customers’ cloud infrastructure.
Genomics is the study of genes and chromosomes.
Transcriptomics is connecting the genome to gene function.
A deeper understanding of biological consequences due to genomic processes uncovering the real targets.
Metagenomics is the study of microbial communities in environmental samples, such as stool, sewage, soil, etc.
Discovering the right epigenetic state often pre-defines pharmacological use and efficacy.
Metabolomics is the study of substrates and products in the cell, known as metabolites.
Find hidden patterns in existing data, public repositories combined with your R&D data.
By analysing holistic models the aim is to capture emerging patterns in cells, tissues and organisms.
Biological data means big data, means massive storage and hence, flexible, parallel compute power.
All good analysis start with good data.
Immunomics is the study of the immune system using genome-wide approaches.
An extraordinary project? Please let us know as we like to use our creative mindset next to our logic and coding skills