Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/BIBM.2010.5706540 | Bioinformatics and Biomedicine |
Keywords | Field | DocType |
DNA,genomics,molecular biophysics,de novo assembly,enhanced reference guided assembly,genomics,next generation sequencing,De-Novo Assembly,NGS,reference assembly | Computer science,Genomics,DNA sequencing,Bioinformatics,Sanger sequencing,Artificial neural network,Sequence assembly | Conference |
ISSN | ISBN | Citations |
2156-1125 | 978-1-4244-8307-5 | 2 |
PageRank | References | Authors |
0.43 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federica Cattonaro | 1 | 3 | 0.79 |
| Alberto Policriti | 2 | 785 | 74.35 |
| Francesco Vezzi | 3 | 79 | 6.03 |