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The GEM mapper: fast, accurate and versatile alignment by filtration.

Santiago Marco-Sola¹, Michael Sammeth, Roderic Guigó

¹Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain.

|October 30, 2012

Summary

The Genome Multitool (GEM) mapper enhances short-read alignment accuracy and speed. It efficiently searches alignment spaces, outperforming other tools.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

High-throughput sequencing generates vast amounts of data, demanding efficient analysis tools.
Existing short-read alignment tools often prioritize speed over accuracy, limiting their utility.

Purpose of the Study:

To introduce the Genome Multitool (GEM) mapper as a solution for accurate and fast short-read alignment.
To demonstrate GEM's ability to handle increasing sequencing data throughput requirements.

Main Methods:

Utilizing string matching by filtration for efficient alignment space searching.
Implementing fully tunable exhaustive searches to identify all possible matches, including gapped alignments.

Main Results:

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GEM achieves high precision by performing exhaustive searches.

GEM demonstrates superior speed, being several times faster than comparable state-of-the-art tools.

The tool effectively balances speed and accuracy in short-read alignment.

Conclusions:

The Genome Multitool (GEM) mapper offers a significant advancement in short-read alignment.
GEM provides a robust solution for researchers dealing with large-scale sequencing data, improving both speed and accuracy.