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Updated: Jun 23, 2026
06:03
AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
Published on: June 23, 2023
Automated FingerPrint Background removal: FPB.
Simone Scalabrin1, Michele Morgante, Alberto Policriti
1Istituto di Genomica Applicata (IGA), via J, Linussio 51, I-33100 Udine, Italy. scalabrin@appliedgenomics.org
BMC Bioinformatics
|May 2, 2009
Summary
A new tool, FPB (FingerPrint Background removal), automates background peak removal in BAC clone fingerprints. This improves physical map construction, essential for genome projects, by providing accurate data for assembly.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Physical maps are crucial for genome projects, aiding in assembly and validation.
- BAC clone fingerprinting is a key method for physical map construction.
- Automated removal of background noise in fingerprints is essential for high-throughput projects.
Purpose of the Study:
- To develop an automated, data-independent tool for removing background peaks from BAC clone fingerprints.
- To address limitations of existing tools that require extensive manual parameter optimization.
Main Methods:
- Implementation of a novel tool named FPB (FingerPrint Background removal).
- FPB is designed to be data-independent and suitable for large-scale projects.
Main Results:
- FPB effectively removes background peaks from capillary electrophoresis-based fingerprints.
- The tool is suitable for both large-scale projects and mapping of individual clones.
Conclusions:
- FPB successfully removed background noise from large grapevine physical map projects (50,000-70,000 fingerprints).
- The application of FPB led to successful genome assembly in these projects.
- FPB is freely available, facilitating its use in future genomic research.
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