Welcome to OP²
The Online Pipeline Platform
An online platform where researchers can access and run NGS pipelines on their data
Want to test the platform?
Request your free samples.
Features
State-of-the-art NGS Pipelines
100% Secure and Private Data
Fast Interpreted Results
Automated Secure Process
No Bioinformatics Experience Required
No Compute Environment Required
How does it work?
Get started in just a few steps.
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1
Create new experiment
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2
Setup experiment parameters
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3
Upload samples
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4
Checkout
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5
Enjoy your results!
State-of-the-art NGS Pipelines
Upload, initiate, analyze and interpret your biological data
Single-Cell Transcriptomics
Analyze your single-cell RNA sequencing data using this state-of-the-art analysis pipeline. Get insights into the quality of your data, expression profiles for your cells and differential expression levels.
Bulk Transcriptomics
Analyze your RNA sequencing data using this state-of-the-art analysis pipeline. Get insights into the quality of your data, expression profiles for your cells and differential expression levels.
Germline Genomics
Analyze your germline whole genome, whole-exome or targeted genome sequencing data using this state-of-the-art analysis pipeline. Get insights into the quality of your data, detect small to large nucleotide and structural variation and annotate them with biological knowledge.
Somatic Genomics
Analyze your somatic whole genome, whole-exome or targeted genome sequencing data using this state-of-the-art analysis pipeline. Get insights into the quality of your data, detect small to large nucleotide and structural variation and annotate them with biological knowledge.
Bulk Immunomics
Analyze your immune repertoire sequencing data using our state-of-the-art analysis pipeline. Get insights on the quality of your data, an overview of the clonotype contents, somatic hypermutation rates, amino acid properties and gene usage.
10X Immunomics
Analyze your immune repertoire sequencing data using our state-of-the-art analysis pipeline. Get insights on the quality of your data, overview of the clonotype contents, somatic hypermutation rates, amino acid properties, gene usage, repertoire overlap and phylogenetic trees.
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