Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis
Joint Authors
Vongsangnak, Wanwipa
Zhu, Fei
Tang, Yi-fei
Shang, Jing
Shen, Bairong
Zhang, Wenyu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Next-generation sequencing (NGS) technology has rapidly advanced and generated the massive data volumes.
To align and map the NGS data, biologists often randomly select a number of aligners without concerning their suitable feature, high performance, and high accuracy as well as sequence variations and polymorphisms existing on reference genome.
This study aims to systematically evaluate and compare the capability of multiple aligners for NGS data analysis.
To explore this capability, we firstly performed alignment algorithms comparison and classification.
We further used long-read and short-read datasets from both real-life and in silico NGS data for comparative analysis and evaluation of these aligners focusing on three criteria, namely, application-specific alignment feature, computational performance, and alignment accuracy.
Our study demonstrated the overall evaluation and comparison of multiple aligners for NGS data analysis.
This serves as an important guiding resource for biologists to gain further insight into suitable selection of aligners for specific and broad applications.
American Psychological Association (APA)
Shang, Jing& Zhu, Fei& Vongsangnak, Wanwipa& Tang, Yi-fei& Zhang, Wenyu& Shen, Bairong. 2014. Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis. BioMed Research International،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-462398
Modern Language Association (MLA)
Shang, Jing…[et al.]. Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis. BioMed Research International No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-462398
American Medical Association (AMA)
Shang, Jing& Zhu, Fei& Vongsangnak, Wanwipa& Tang, Yi-fei& Zhang, Wenyu& Shen, Bairong. Evaluation and Comparison of Multiple Aligners for Next-Generation Sequencing Data Analysis. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-462398
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462398