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The Bioinformatic Applications of Hi-C and Linked Reads
Libo Jiang1, Michael A Quail2, Jack Fraser-Govil2
1School of Life Sciences and Medicine, Shandong University of Technology, Zibo 255049, China.
Genomics, Proteomics & Bioinformatics
|June 21, 2024
Summary
Long-range sequencing technologies like Hi-C and Linked Reads offer deeper genetic insights. This review details five key methods, aiding researchers in selecting the best long-range sequencing for their studies.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Short-read sequencing has limitations in capturing comprehensive genomic information.
- Emerging long-range sequencing technologies provide enhanced resolution for genome analysis.
Purpose of the Study:
- To review and compare five major long-range sequencing technologies.
- To detail their mechanisms, data products, and applications in genomics.
- To guide researchers in selecting appropriate long-range sequencing methods.
Main Methods:
- Review of high-throughput chromosome conformation capture (Hi-C).
- Analysis of 10X Genomics Linked Reads.
- Examination of haplotagging, TELL-seq, and stLFR technologies.
- Evaluation of sequencing data quality and available bioinformatics tools.
Main Results:
- Detailed descriptions of five long-range sequencing platforms.
- Assessment of their utility in genome assembly, scaffolding, and variant identification.
- Comparison of data quality across different technologies.
Conclusions:
- Long-range sequencing significantly advances genomic analyses.
- Understanding the nuances of each technology is crucial for optimal application.
- This review provides a valuable resource for selecting the most suitable long-range sequencing approach.
