De novo genome assembly is the bioinformatics' problem to reconstruct the original molecule from its sub-sequences, with no previous knowledge on DNA. Inspired by the maximum likelihood approach, recently a new experimental approach was developed. In this thesis, for the first time this new stochastic approach has been implemented into a software assembler. A parallel software has been developed in order to obtain a first experimental validation of the model, testing also some artificial data
A maximum likelihood approach to genome assembly
Baruzzo, Giacomo
2013/2014
Abstract
De novo genome assembly is the bioinformatics' problem to reconstruct the original molecule from its sub-sequences, with no previous knowledge on DNA. Inspired by the maximum likelihood approach, recently a new experimental approach was developed. In this thesis, for the first time this new stochastic approach has been implemented into a software assembler. A parallel software has been developed in order to obtain a first experimental validation of the model, testing also some artificial dataFile in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
thesis.pdf
accesso aperto
Dimensione
1.06 MB
Formato
Adobe PDF
|
1.06 MB | Adobe PDF | Visualizza/Apri |
The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/17455