SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• High throughput sequencing (HTS) is crucial in biological research.
• Current software systems lack the flexibility needed for HTS data management and processing.
• Static software approaches hinder the adoption of rapidly evolving HTS techniques.

Purpose of the Study:

• To develop a flexible infrastructure for managing and processing high throughput sequencing data.
• To enable rapid integration of novel algorithms into existing research workflows.
• To allow computational biologists to focus on method development rather than infrastructure coding.

Main Methods:

• Developed SeqAdapt using a loosely coupled, service-oriented architecture.
• Implemented a system to streamline data management for high throughput sequencing.
• Designed for easy integration of new algorithms and techniques.

Main Results:

• SeqAdapt streamlines data management for high throughput sequencing.
• The system facilitates the rapid integration of novel algorithms and techniques.
• Enables computational biologists to focus on developing and applying new methods.

Conclusions:

• SeqAdapt provides a flexible, service-oriented infrastructure for high throughput sequencing data.
• The system is available as a web application, single download, or customizable services.
• Based on the Addama service architecture, it supports advanced bioinformatics research.