Bioinformatics for Next Generation Sequencing Data
AbstractThe 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
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Magi, A.; Benelli, M.; Gozzini, A.; Girolami, F.; Torricelli, F.; Brandi, M.L. Bioinformatics for Next Generation Sequencing Data. Genes 2010, 1, 294-307.
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.