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Hi-Corrector: a fast, scalable and memory-efficient package for normalizing large-scale Hi-C data.

Wenyuan Li1, Ke Gong1, Qingjiao Li1

  • 1Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.

Bioinformatics (Oxford, England)
|November 14, 2014
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Summary
This summary is machine-generated.

Hi-Corrector offers a fast and memory-efficient solution for normalizing large Hi-C data matrices. This open-source tool addresses the growing computational challenges in analyzing spatial genome organization with high-resolution proximity ligation assays.

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Area of Science:

  • Genomics
  • Computational Biology
  • Molecular Biology

Background:

  • Genome-wide proximity ligation assays like Hi-C are crucial for studying spatial genome organization.
  • Normalization of Hi-C data is essential for accurate analysis but is computationally intensive due to increasing data resolution and matrix size.
  • Existing normalization methods face challenges with memory usage and speed for large datasets.

Purpose of the Study:

  • To develop a fast and memory-efficient algorithm for normalizing Hi-C data.
  • To provide an easy-to-use, open-source software implementation for Hi-C data normalization.

Main Methods:

  • Developed Hi-Corrector, an open-source software for Hi-C data normalization.
  • Implemented a sequential version in ANSI C for low-memory environments.
  • Developed a parallel version using the MPI library for high-speed computation on multiple nodes.

Main Results:

  • Hi-Corrector demonstrates scalability, handling Hi-C data of any size efficiently.
  • The sequential version offers high memory efficiency, suitable for computers with limited RAM.
  • The parallel version achieves fast processing speeds on multi-node systems.

Conclusions:

  • Hi-Corrector effectively addresses the computational challenges of normalizing large Hi-C datasets.
  • The software provides a scalable, memory-efficient, and fast solution for spatial genome organization analysis.
  • Hi-Corrector is a valuable tool for researchers working with high-resolution Hi-C data.