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Updated: May 15, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

FCC - An automated rule-based processing tool for life science data.

Simon Barkow-Oesterreicher¹, Can Türker, Christian Panse

¹Functional Genomics Center Zurich (FGCZ), Swiss Federal Institute of Technology Zurich (ETHZ)|University of Zurich (UZH), CH-8057 Zurich, Winterthurerstrasse 190, Switzerland. cp@fgcz.ethz.ch.

Source Code for Biology and Medicine

|January 15, 2013

Summary

This summary is machine-generated.

Bioinformatics workflows face challenges with diverse file formats and proprietary software. The FGCZ Converter Control (FCC) automates mass spectrometry data processing, enabling efficient, parallel computation and reducing manual intervention for researchers.

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Area of Science:

Bioinformatics
Computational Biology
Mass Spectrometry Data Analysis

Background:

Lack of standardized file formats in bioinformatics necessitates complex data processing.
Proprietary binary formats from mass spectrometry vendors limit unified tool development.
Manual, GUI-based processing and single-CPU limitations hinder efficiency in bioinformatics workflows.

Purpose of the Study:

To develop an automated system for mass spectrometry data processing.
To overcome limitations of proprietary file formats and manual workflows.
To create a unified and efficient tool for bioinformatics data handling.

Main Methods:

Developed the FGCZ Converter Control (FCC), a rule-based system for automated file processing.
Implemented filtering rules for raw data files to customize processing parameters.
Enabled parallel processing across multiple servers utilizing all available CPU resources.

Main Results:

The FCC automates diverse software operations into a single configuration task.
Customizable filtering rules allow tailored processing for individual researcher needs.
Efficient, parallel processing significantly reduces data handling time and user intervention.

Conclusions:

The FCC has been extensively used for processing over 100,000 mass spectrometry raw files.
The tool offers a potential solution for research facilities facing similar data processing challenges.
The FCC and its setup are reported for potential reuse in other core facilities.