Title :
Enhanced reference guided assembly
Author :
Cattonaro, Federica ; Policriti, Alberto ; Vezzi, Francesco
Author_Institution :
IGA Appl. Genomics Inst., Udine, Italy
Abstract :
Next Generation Sequencing has totally changed genomics: we are able to produce huge amounts of data at an incredible low cost if compared to Sanger sequencing. Despite this some old problems have become even more difficult, de-novo assembly being on top of this list. In this paper we propose a novel method that aims at improving de-novo assembly in presence of a closely related reference. The idea is to combine de-novo assembly and reference guided assembly in order to obtain an enhanced assembly.
Keywords :
DNA; genomics; molecular biophysics; de novo assembly; enhanced reference guided assembly; genomics; next generation sequencing; Artificial neural networks; Assembly; Bioinformatics; Genomics; Next generation networking; Organisms; Pipelines; De-Novo Assembly; NGS; reference assembly;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-8306-8
Electronic_ISBN :
978-1-4244-8307-5
DOI :
10.1109/BIBM.2010.5706540
