Bioinformatics pipeline enables analysis of massive genetics datasets

Python | MongoDB | AWS S3 | AWS Lambda | Java

Scalable cloud-based solution enables data scientists to analyze vast amounts of variant genetic data while ensuring accuracy, usability and speed.

Challenge

A company specializing in integrating genomics into comprehensive lifestyle plans needed a cutting-edge software tool for clinical laboratories. This tool would enable clinical scientists to process, analyze, interpret, and report personal genome files to diagnose genetic disorders. The solution required robust capabilities for variant discovery and interpretation, as well as seamless handling of vast genomic data sets containing thousands to millions of detected variants.

Challenge

Approach

To meet the client’s needs, Newpage designed a comprehensive Genome Sequencing Pipeline tailored for clinical environments. The solution incorporated:

  • Sequence Alignment Tools: Capable of managing large genomic data sets efficiently.
  • Data Conversion: Transforming FASTQ files—containing gigabytes of gene sequencing data—into VCF files with detailed Variants and Alleles.
  • Streamlined Workflow: The pipeline accepts paired and FASTQ files, processes the data, and generates a VCF file in approximately 5 minutes.

The intuitive design ensured ease of use for clinical scientists, with features such as annotation, multiple sort and filter selections, and advanced functions like intersect and difference operations.

Approach

Results

The implementation of the Genome Sequencing Pipeline transformed the client’s sequencing services, delivering the following benefits:

  • Enhanced Efficiency: Reduced processing time from FASTQ to PDF to just 5 minutes.
  • Improved Usability: Intuitive tools that empower end users to analyze large variant data sets effectively.
  • Accuracy and Precision: A reliable solution for annotating genomes, analyzing variant data, and identifying genetic causes of disease.

The client now generates customized patient reports swiftly and accurately, enhancing their diagnostic capabilities.

Results

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