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Updated: Nov 2, 2025

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

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Published on: February 23, 2024

PuffAligner: a fast, efficient and accurate aligner based on the Pufferfish index.

Fatemeh Almodaresi¹, Mohsen Zakeri¹, Rob Patro¹

¹Computer Science Department, University of Maryland, College Park, MD 20742, USA.

Bioinformatics (Oxford, England)

|June 12, 2021

Summary

PuffAligner is a new, fast, and accurate sequence alignment tool that uses less memory than existing options. It offers a good balance of speed, memory, and accuracy for genomic analyses.

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Published on: June 12, 2018

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Sequence alignment is crucial for genomic analyses like variant detection and metagenomic profiling.
Current alignment tools are often computationally expensive, hindering scalability with growing data volumes.

Purpose of the Study:

Introduce PuffAligner, a novel sequence alignment tool.
Address the need for fast, accurate, and memory-efficient alignment solutions for large genomic datasets.

Main Methods:

Developed PuffAligner based on the Pufferfish index.
Evaluated alignment sensitivity, speed, and memory usage against established tools like Bowtie2 and STAR.

Main Results:

PuffAligner achieves high alignment sensitivity comparable to Bowtie2.
Demonstrates alignment speeds similar to STAR but with significantly reduced memory requirements.
Offers a favorable balance of time, space, and accuracy.

Conclusions:

PuffAligner provides a fast, accurate, and memory-efficient solution for large-scale sequence alignment.
Represents a promising foundation for future advancements in alignment technologies.