Pipelines & Softwares
Execute multiomics analysis pipelines from raw data to read-to-use exploration and AI/ML analysis
Pipelines & Software provides ready-to-use Nextflow pipelines for multi-omics analysis and open-source packages for custom analysis.
Available Pipelines
At OmicsLab, we deliver end-to-end bioinformatics solutions spanning infrastructure, data platforms, pipelines, and software for comprehensive multi-omics data management and analysis. Our services are designed to support projects at any scale, from individual studies to biobank-level cohorts. Our solution will be published partially via technical blog posts as below.
Genomics
- • Short-read germline variant calling
- • Short-read somatic variant calling
- • Long-read variant calling
Methylation
- • Bisulfite sequencing analysis
- • TAPS-based methylation calling
- • M-bias analysis
Transcriptomics
- • RNA-seq differential expression
- • Single-cell transcriptomics
- • Spatial transcriptomics
Proteomics
- • Protein identification
- • Quantification
- • PTM analysis
Metabolomics
- • Metabolite profiling
- • Pathway analysis
- • Targeted & untargeted
Metagenomics
- • 16S amplicon sequencing
- • Whole-genome shotgun
- • De novo assembly
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
Short-read Somatic Variant Calling Pipeline Using Nextflow
Using nextflow to build the short-read somatic variant calling pipeline with best practice approach for production with large-scale optimization
Short-read Germline Variant Calling Pipeline Using Nextflow
Using nextflow to build the short-read germline variant calling pipeline with best practice approach for production with large-scale optimization
Scalable Software Solutions
We provide open-source software packages for multi-omics data harmonization and analysis at scale.
omicslab-kit
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 →pyomicslab
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 →Let's work together on your bioinformatics needs.
Our Location
Ho Chi Minh City, Vietnam
Email Us
contact@omicslab.io