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Updated: May 30, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Comparative analysis of algorithms for next-generation sequencing read alignment.

Matthew Ruffalo¹, Thomas LaFramboise, Mehmet Koyutürk

¹Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA. matthew.ruffalo@case.edu

Bioinformatics (Oxford, England)

|August 23, 2011

Summary

This summary is machine-generated.

Choosing the right short read alignment software is crucial for next-generation sequencing (NGS) data analysis. Our study evaluates popular tools like Bowtie and BWA using the Seal suite, providing insights for researchers.

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Collection and Extraction of Saliva DNA for Next Generation Sequencing

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Last Updated: May 30, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing

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Published on: February 24, 2015

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

Area of Science:

Genomics and Bioinformatics
Computational Biology

Background:

Next-generation sequencing (NGS) generates vast amounts of short reads, posing computational challenges for genomic analysis.
Mapping these short reads to a reference genome is a critical first step in many analyses.
The performance and suitability of various short read alignment software packages remain unclear for researchers.

Purpose of the Study:

To compare the performance of existing short read alignment software.
To provide researchers with data to select the most suitable alignment software for their specific NGS applications.
To offer insights into factors influencing alignment effectiveness.

Main Methods:

Development of Seal, a simulation and evaluation suite for NGS data.
Simulation of NGS runs with varying sequencing error, indel, and coverage parameters.
Comprehensive performance evaluation of alignment software including Bowtie, BWA, mr- and mrsFAST, Novoalign, SHRiMP, and SOAPv2 based on accuracy and runtime.

Main Results:

Performance comparison of seven popular short read alignment tools (Bowtie, BWA, mr- and mrsFAST, Novoalign, SHRiMP, SOAPv2).
Evaluation criteria developed to handle disparate software output structures (single vs. multiple alignments).
Detailed assessment of accuracy and runtime for each evaluated software.

Conclusions:

The study provides valuable data to aid investigators in selecting optimal alignment software for their research aims.
Results offer insights into key factors for effective utilization of alignment data.
The Seal suite can also be used for evaluating algorithms processing deep sequencing data, such as for variant identification.