Offsiteteam
Bioinformatics: Scalable NGS microbiome pipeline
Proper industrialization of scientific research.
Solution
Migrate an R script from a research article into an NextFlow scalable pipeline running in high performance cloud
Engagement model
Research Partner
Methodology
Agile
Industry
Bioinformatics
Team
BioOps Engineers 1
Bioinformatics Engineer 1
R/Python engineer 1
Company name
Research Institute
Location
Switzerland
Business activity
Research

Bioinformatics: Scalable NGS microbiome pipeline

A wet-lab Microbiome Lab of a Switzerland research institute requested help with bioinformatic processing of their NGS data. They had a general idea of what steps they needed to perform and even created a preliminary bash script. But that script was 4000 lines long, hard to grasp and running for a week on their local computers.
That is where Offsiteteam stepped in.

Case highlights

NextFlow pipeline programming
Cloud AWS Batch execution
Isolated Docker environments
Terraform for Infrastructure as a Service

Challenge

Refactor a messy R/Bash/Python pipeline script written by a PhD student into reusable and easy to understand pipeline, allowing multiple runs.

Solution

A parallel-ready NextFlow pipeline was created, accompanied by Terraform script to create an AWS infrastructure allowing to run this pipeline in a cloud.
Now the script can be run in a HPC cloud, allowing multiple experiments and easily understood by any member of a lab.
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