Next Article in Journal
TSPY and Male Fertility
Next Article in Special Issue
Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data
Previous Article in Journal
Expression of the Y-Encoded TSPY is Associated with Progression of Prostate Cancer
Previous Article in Special Issue
A Computer Simulator for Assessing Different Challenges and Strategies of de Novo Sequence Assembly
Open AccessReview

Bioinformatics for Next Generation Sequencing Data

1
Diagnostic Genetic Unit, Careggi Hospital, Azienda Ospedaliera Universitaria Careggi, University of Florence, Florence, Italy
2
Center for the Study of Complex Dynamics, University of Florence, Florence, Italy
3
Surgical Critical Care, University of Florence, Florence, Italy
4
INFN, Sezione di Firenze, Firenze, Italy
5
Department of Internal Medicine, University of Florence Medical School, Florence, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2010, 1(2), 294-307; https://doi.org/10.3390/genes1020294
Received: 27 July 2010 / Revised: 30 August 2010 / Accepted: 14 September 2010 / Published: 14 September 2010
(This article belongs to the Special Issue Next Generation DNA Sequencing)
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. View Full-Text
Keywords: sequencing; data analysis; bioinformatics sequencing; data analysis; bioinformatics
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.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop