GAMES identifies and annotates mutations in next-generation sequencing projects.
BACKGROUND
Next-generation sequencing (NGS) methods have the potential for changing the landscape of biomedical science, but at the same time pose several problems in analysis and interpretation. Currently, there are many commercial and public software packages that analyze NGS data. However, the limitations of these applications include output which is insufficiently annotated and of difficult functional comprehension to end users.


RESULTS
We developed GAMES (Genomic Analysis of Mutations Extracted by Sequencing), a pipeline aiming to serve as an efficient middleman between data deluge and investigators. GAMES attains multiple levels of filtering and annotation, such as aligning the reads to a reference genome, performing quality control and mutational analysis, integrating results with genome annotations and sorting each mismatch/deletion according to a range of parameters. Variations are matched to known polymorphisms. The prediction of functional mutations is achieved by using different approaches. Overall GAMES enables an effective complexity reduction in large-scale DNA-sequencing projects.


BACKGROUND
GAMES is available free of charge to academic users and may be obtained from http://aqua.unife.it/GAMES.
DAMA, Data Mining for Analysis of DNA, Department of Morphology and Embryology and TecnoPolo for Life Sciences, University of Ferrara, Ferrara, Italy.
Maria Elena
ME
Sana
Maria
M
Iascone
Daniela
D
Marchetti
Jeff
J
Palatini
Marco
M
Galasso
Stefano
S
Volinia
D004252:DNA Mutational Analysis / Q000379:methods*; D023281:Genomics / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D058977:Molecular Sequence Annotation / Q000379:methods*; D012984:Software