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Fast sequence alignment for centromeres with RaMA.

Pinglu Zhang1,2, Yanming Wei2,3, Qinzhong Tian1,2

  • 1Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.

Genome Research
|February 12, 2025
PubMed
Summary
This summary is machine-generated.

A new tool, rare match aligner (RaMA), improves genomic alignment in complex centromeric regions. It accurately captures genetic evolution and speeds up analysis, overcoming limitations of current methods for human pangenome research.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • The human pangenome enables study of complex genomic regions like centromeres, which contain extra-long tandem repeats (ETRs).
  • Existing sequence alignment tools struggle to accurately represent genetic variations within ETRs.

Purpose of the Study:

  • To develop an advanced alignment tool, rare match aligner (RaMA), for improved analysis of complex genomic regions.
  • To enhance the accuracy and efficiency of sequence alignment for centromeric DNA.

Main Methods:

  • Developed RaMA using rare matches as anchors and a two-piece affine gap cost model.
  • Implemented parallel computing and the wavefront algorithm for accelerated anchor discovery and alignment.
  • Introduced novel methods for defining reliable alignment regions.

Main Results:

  • RaMA achieved more accurate alignments compared to existing methods, effectively capturing higher-order repeat (HOR) structures in simulated and real data (CHM13, CHM1).
  • The tool demonstrated significant speed improvements (up to 13.66x faster) and reduced memory usage (11% of UniAligner).
  • Enhanced accuracy in centromeric alignment statistics through refined alignment region definitions.

Conclusions:

  • RaMA provides a more accurate and efficient solution for aligning complex genomic sequences, particularly in centromeric regions.
  • The tool advances the analysis of genetic events within ETRs, crucial for understanding human pangenome diversity.
  • RaMA represents a significant improvement for genomic research involving repetitive DNA elements.