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Sambamba: fast processing of NGS alignment formats.

Artem Tarasov1, Albert J Vilella1, Edwin Cuppen2

  • 1Department of Statistical Simulation, St. Petersburg State University, St. Petersburg, Russia, Illumina Cambridge, Cambridge, UK, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences, Utrecht, The Netherlands, Department of Medical Genetics, Institute for Molecular Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands and Department of Nematology, Wageningen University, Wageningen, The Netherlands.

Bioinformatics (Oxford, England)
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Summary

Sambamba is a high-performance tool for processing sequence alignment files (SAM, BAM, CRAM). It offers faster processing than samtools using multi-core capabilities and includes advanced features like coverage analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) generates large datasets in sequence alignment file formats like SAM, BAM, and CRAM.
  • Efficient processing of these files is crucial for downstream genomic analysis.
  • Existing tools may present performance limitations for large-scale sequencing projects.

Purpose of the Study:

  • To introduce Sambamba, a high-performance and robust tool for handling sequence alignment files.
  • To provide a faster alternative to existing tools like samtools for processing SAM, BAM, and CRAM data.
  • To highlight the additional functionalities of Sambamba, such as coverage analysis and filtering.

Main Methods:

  • Sambamba is designed as a multi-core processing tool to accelerate sequence alignment file manipulation.
  • It supports standard sequence alignment map (SAM), binary alignment map (BAM), and compressed (CRAM) file formats.
  • The tool incorporates advanced features for coverage analysis and data filtering.

Main Results:

  • Sambamba demonstrates significantly reduced processing times compared to traditional tools like samtools.
  • Its multi-core exploitation leads to high-performance data handling.
  • Adoption in sequencing centers is driven by speed and enhanced functionalities.

Conclusions:

  • Sambamba offers a faster and more capable solution for processing sequence alignment data.
  • Its features benefit large-scale genomics research and data analysis pipelines.
  • The tool is freely available as open-source software.