Short-read Methylation Pipeline Using Nextflow
Using nextflow to build the short-read methylation pipeline with best practice approach for production with large-scale optimization
Custom Omicslab solutions that fit exactly what your specific bioinformatics work requires.
Describe the problem and the goal — we design, develop and deliver the complete system together with you.
Programming and integration of new analysis tools into your existing system.
Build HPC clusters, configure S3-compatible object storage dedicated to omics data, or set up your own private cloud infrastructure.
Deploy a standalone Omicslab instance dedicated to your own users.
Using nextflow to build the short-read methylation pipeline with best practice approach for production with large-scale optimization

Using nextflow to build the short-read somatic variant calling pipeline with best practice approach for production with large-scale optimization

Using nextflow to build the short-read germline variant calling pipeline with best practice approach for production with large-scale optimization
The custom work above is built on tools we maintain in the open. They are where most engagements start instead of starting from scratch, and they stay available to your team after handover.
Comprehensive toolkit for integrating multiple bioinformatics tools to set up scalable analysis pipelines. Includes tutorials for performing bioinformatics at scale using different tool configurations.
View on GitHub →Python package for multi-omics data harmonization and analysis at scale. Integrates with multiple data sources including TCGA data (rewritten from TCGABiolinks) and provides Python-native solutions for analysis and visualization including heatmaps, survival analysis, oncoplots, and more.
View on GitHub →No. 10 Song Thao, Tan Son Hoa Ward, Ho Chi Minh City, Vietnam
Tax ID: 0319713358
contact@omicslab.io
Phone: (+84) 364002059