Bioinformatics Service Packages
Variant calling and effect prediction
- SNV calling using Broad Institute Best Practice pipeline
- Variant calling effect prediction including possibility add external resources
- Quality control assurance
- Scalling up to many samples
Metagenomics Analysis
- Processing of sequencing reads and OTU clustering
- Principal component analysis
- The analyses using GLMs and mixed effect models
Population Genomics
- Standard population genomics analysis using microarrays, whole genome and whole exome data
- Population structure and admixture analysis
- Chromosome painting
- Complex admixture scenarios testing
- Genome-wide selection scans
Differential Gene Expression Analysis
- Standard processing of the RNA-Seq data
- Feature counts reporting and analysis
- Statistical analysis of differential gene expression between cases and controls
- Gene-set enrichment analysis (Gene Ontology, KEGG)
Multi-Omics Data Analysis
- Integration of multi-omics data (metabolomics, gene expression, metagenomics)
- Analysis using mixed effect models
- Integrative analysis using advance methods (Partial Least-Square Discriminant Analysis, PLS-DA)
- Network analysis
Single Cell RNA-Seq Analysis
- Processing of raw sequencing reads
- Clustering based to cell types and tissues
- Application of random forest, lasso and other related methods to identify differentially expressed genes
- Publication level graphical visualization
Tailored Bioinformatics Development
Custom-Built Bioinformatics Pipelines
- Tailor-made bioinformatics pipeline design
- Development of the pipeline in the Cromwell/WDL or the Nextflow framework
- Development of Docker images for specific bioinformatics use cases
Scalable Bioinformatics Pipelines in the Cloud
- Deployment and scaling up of the pipelines in the cloud platform
- Automation of the pipelines
- Experience with all major cloud providers
- Assistance with the Terra environment and pipeline deployment
Advanced Bioinformatics Solutions in the Cloud
- Design and development of complex bioinformatics solutions in the cloud environment
- Multi-omics data processing and integration workflows using Apache Spark and their automation
- Prototyping, development and deployment of machine learning solutions
Shaping the Future of Bioinformatics
The explosion of biological data is reshaping the world of life sciences. With genomics expected to become the second-largest source of global data—right behind internet traffic—researchers face a major challenge: turning massive datasets into meaningful insights. Tackling this requires more than just storage; it takes robust infrastructure, cloud know-how, machine learning skills, and deep domain expertise.
That’s where we come in. We team up with companies and research institutions to power their development and discovery. From building standard bioinformatics pipelines and machine learning tools to designing cloud-based data lakes that bring together multi-omics data, our experts help drive innovation in life science and biomedical research.
Talk to our experts about your bioinformatics project
Our team of experienced bioinformatics specialists applies advanced analytical methods to interpret complex biological data. We stay current with the latest developments in the field and are driven by the belief that our work can contribute meaningfully to progress in biology, medicine, and pharmaceuticals.
