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AlmostSignificant: simplifying quality control of high-throughput sequencing data.

Joseph Ward¹, Christian Cole¹, Melanie Febrer²

¹Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.

Bioinformatics (Oxford, England)

|August 26, 2016

Summary

This summary is machine-generated.

AlmostSignificant is an open-source platform that streamlines DNA sequencing quality control (QC) by aggregating data. This tool simplifies the monitoring of large datasets from Illumina sequencers, saving time and effort.

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Area of Science:

Genomics
Bioinformatics

Background:

High-throughput DNA sequencing generates vast amounts of data requiring rigorous quality control (QC).
Manual QC processes for large-scale Illumina sequencing data are time-consuming and complex, demanding information from multiple sources.

Purpose of the Study:

To introduce AlmostSignificant, an open-source platform designed to simplify and automate DNA sequencing data QC.
To provide a centralized system for aggregating quality metrics and metadata from Illumina sequencing runs.

Main Methods:

Developed an open-source graphical platform named AlmostSignificant.
Integrated aggregation of multiple quality metrics and run/sample metadata for Illumina sequencing data.
Stored historical sequencing run data and associated metadata for future reference.

Main Results:

AlmostSignificant effectively aggregates diverse data sources for streamlined QC.
The platform has been utilized to monitor over 80 sequencing runs, encompassing more than 2500 samples.
Successfully simplified the complex task of managing and monitoring large volumes of sequencing data.

Conclusions:

AlmostSignificant offers a robust solution for efficient DNA sequencing data QC.
The platform enhances data management and accessibility for researchers using Illumina sequencers.
Open-source availability facilitates wider adoption and contribution to genomic data analysis workflows.