Name
Abstract | ||
|---|---|---|
This paper deals with the computational problem of inferring complete information on haplotypes from haplotypes with missing
data. This problem is one of the main issues in haplotyping, as the current DNA sequencing technology often produces haplotypes with missing bases and thus the complete information
on haplotypes has to be inferred through computational methods. In this paper we propose a new algorithmic approach to the
problem that assumes both the Coalescent and the Minimum Entropy models and we provide an experimental analysis relating it
to the previously investigated approaches. In particular, the reconstruction of a perfect phylogeny from haplotypes with missing
data is addressed.
|
Year | DOI | Venue |
|---|---|---|
2005 | 10.1504/IJBRA.2005.008448 | International Journal of Bioinformatics Research and Applications |
Keywords | DocType | Volume |
complete information,missing data,partial haplotype completion,minimum entropy model,experimental analysis,current dna,computational method,new algorithm,computational problem,main issue,missing base,paper deal | Journal | 1 |
Issue | ISSN | ISBN |
4 | 1744-5485 | 3-540-26043-9 |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paola Bonizzoni | 1 | 502 | 52.23 |
| Gianluca Della Vedova | 2 | 342 | 36.39 |
| Riccardo Dondi | 3 | 89 | 18.42 |
| Lorenzo Mariani | 4 | 1 | 0.35 |