Many software tools are currently available to solve the hard goal of assembling millions of fragments produced in sequencing projects. Such a variety includes packages for long and short reads, generated by classical and next- generation sequencing technologies. Often the result produced by different tools can diverge—sometime significantly—for many reasons: the underlying algorithm, the data structures employed, the heuristics implemented, default parameters, etc. On the ground of the above considerations, we were motivated in developing a methodology which may both guide in a comparison of different assembler’s output and improve the overall quality of the genome assembly sequences, by merging the sequences produced by different assembly programs.
GAM: Genomic Assemblies Merger. A Graph Based Method to Integrate Different Assemblies
CASAGRANDE, ALBERTO;
2009-01-01
Abstract
Many software tools are currently available to solve the hard goal of assembling millions of fragments produced in sequencing projects. Such a variety includes packages for long and short reads, generated by classical and next- generation sequencing technologies. Often the result produced by different tools can diverge—sometime significantly—for many reasons: the underlying algorithm, the data structures employed, the heuristics implemented, default parameters, etc. On the ground of the above considerations, we were motivated in developing a methodology which may both guide in a comparison of different assembler’s output and improve the overall quality of the genome assembly sequences, by merging the sequences produced by different assembly programs.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
