Genes 2010, 1(2), 294-307; doi:10.3390/genes1020294
Review

Bioinformatics for Next Generation Sequencing Data

1,2,3,†,* email, 1,2,4,†email, 1email, 1email, 1email and 5email
Received: 27 July 2010; in revised form: 30 August 2010 / Accepted: 14 September 2010 / Published: 14 September 2010
(This article belongs to the Special Issue Next Generation DNA Sequencing)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The emergence of next-generation sequencing (NGS) platforms imposes increasing demands on statistical methods and bioinformatic tools for the analysis and the management of the huge amounts of data generated by these technologies. Even at the early stages of their commercial availability, a large number of softwares already exist for analyzing NGS data. These tools can be fit into many general categories including alignment of sequence reads to a reference, base-calling and/or polymorphism detection, de novo assembly from paired or unpaired reads, structural variant detection and genome browsing. This manuscript aims to guide readers in the choice of the available computational tools that can be used to face the several steps of the data analysis workflow.
Keywords: sequencing; data analysis; bioinformatics
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MDPI and ACS Style

Magi, A.; Benelli, M.; Gozzini, A.; Girolami, F.; Torricelli, F.; Brandi, M.L. Bioinformatics for Next Generation Sequencing Data. Genes 2010, 1, 294-307.

AMA Style

Magi A, Benelli M, Gozzini A, Girolami F, Torricelli F, Brandi ML. Bioinformatics for Next Generation Sequencing Data. Genes. 2010; 1(2):294-307.

Chicago/Turabian Style

Magi, Alberto; Benelli, Matteo; Gozzini, Alessia; Girolami, Francesca; Torricelli, Francesca; Brandi, Maria Luisa. 2010. "Bioinformatics for Next Generation Sequencing Data." Genes 1, no. 2: 294-307.

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