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bwtool: a tool for bigWig files.

Andy Pohl1, Miguel Beato1

  • 1Department of Gene Regulation, Stem Cells, and Cancer, Centre for Genomic Regulation (CRG) and Department of Experimental and Health Sciences (CEXS), Universitat Pompeu Fabra, 08003 Barcelona, SpainDepartment of Gene Regulation, Stem Cells, and Cancer, Centre for Genomic Regulation (CRG) and Department of Experimental and Health Sciences (CEXS), Universitat Pompeu Fabra, 08003 Barcelona, Spain.

Bioinformatics (Oxford, England)
|February 4, 2014
PubMed
Summary

bwtool efficiently processes BigWig files, a standard for genome-wide signal data. This tool extracts, summarizes, and converts data across genome assemblies, aiding genomic analysis.

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Area of Science:

  • Bioinformatics
  • Genomics

Background:

  • BigWig files are a standard compressed, indexed, binary format for genome-wide signal data.
  • This data is crucial for various analyses, including GC percent calculations and ChIP-seq/RNA-seq read depth.
  • Efficient tools are needed to manage and analyze this increasingly common data format.

Purpose of the Study:

  • Introduce bwtool, a new software tool for rapid and efficient BigWig file processing.
  • Provide functionality for data extraction, summarization, and genome assembly conversion ('lifting').
  • Offer a valuable resource for researchers working with large-scale genomic signal data.

Main Methods:

  • bwtool is implemented in C and designed for high-speed reading of BigWig files.
  • It supports global and regional data extraction and summarization.
  • The tool facilitates the conversion of genomic positions between different genome assemblies.

Main Results:

  • bwtool enables rapid and efficient extraction and summarization of genome-wide signal data from BigWig files.
  • It provides functionality for converting genomic data between different genome assemblies.
  • The software is available as open-source C code.

Conclusions:

  • bwtool is a valuable tool for bioinformaticians and researchers frequently analyzing BigWig data.
  • Its efficiency and features streamline common tasks in genomics.
  • The tool supports the growing use of BigWig format for functional genomic signals.