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FGAP: an automated gap closing tool.

Vitor C Piro, Helisson Faoro, Vinicius A Weiss

  • 1Laboratory of Bioinformatics, Professional and Technological Education Sector, Federal University of Paraná, Curitiba, PR, Brazil, Rua Dr, Alcides Vieira Arcoverde 1225, Curitiba, Paraná, Brazil. raittz@ufpr.br.

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Summary

FGAP effectively closes gaps in draft genome sequences using diverse datasets. This tool significantly improves genome assembly completeness, achieving high gap closure rates with different sequencing technologies.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Decreasing DNA sequencing costs accelerate genome data generation.
  • Obtaining complete genome sequences remains labor-intensive and time-consuming.
  • Integrating diverse sequencing data can enhance draft genome assembly.

Purpose of the Study:

  • To develop FGAP, a novel tool for closing gaps in draft genome sequences.
  • To leverage multiple datasets for improved genome assembly.

Main Methods:

  • FGAP utilizes BLAST for aligning contigs against draft genome assemblies.
  • The algorithm identifies and selects overlapping sequences to fill gaps.
  • It integrates data from various sequencing technologies.

Main Results:

  • FGAP reduced gaps by 78% in E. coli using Illumina and 454 data.
  • PacBio long reads enabled 98% gap closure.
  • Human chromosome 14 assemblies saw a 35% reduction in gaps.

Conclusions:

  • FGAP is an effective tool for improving genome assembly completeness.
  • The tool demonstrates high performance across different sequencing platforms.
  • Validated inserted sequences ensure accuracy in genome assemblies.