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Updated: Jan 8, 2026

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SeqManager: a web-based tool for efficient sequencing data storage management and duplicate detection.

Margot Celerier1, Andrew J Oldfield1, William Ritchie1

  • 1IGH, University of Montpellier, CNRS, 141 rue de la Cardonille, Montpellier, 34090, France.

Bioinformatics Advances
|December 15, 2025
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Summary
This summary is machine-generated.

SeqManager efficiently manages genomics data by automatically identifying and removing duplicate and redundant files. This web application reduces storage costs and computational burden in modern genomics laboratories.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Management

Background:

  • Genomics laboratories produce vast amounts of sequencing data, leading to high storage expenses.
  • Genomic data storage is often burdened by duplicate files, temporary processing files, and redundant intermediate data.

Purpose of the Study:

  • To develop an automated solution for managing large-scale sequencing data.
  • To reduce storage costs and improve efficiency in genomics data handling.

Main Methods:

  • Development of SeqManager, a web-based application.
  • Implementation of automated identification, classification, and management of sequencing data files.
  • Inclusion of intelligent duplicate detection and identification of removable intermediate files.

Main Results:

  • SeqManager successfully automates the identification and management of sequencing data files.
  • The tool efficiently detects duplicate files and safely removable intermediate data.
  • Evaluations across four genomics labs confirmed the tool's speed and low memory footprint.

Conclusions:

  • SeqManager offers an effective and efficient solution for genomics data storage management.
  • The application can significantly reduce storage costs and streamline data handling processes in research settings.
  • SeqManager is freely available, promoting wider adoption and accessibility in the genomics community.