English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Single nucleotide polymorphism (SNP) is the most frequent form of human genetic variations and of importance for medical diagnosis and tracking disease genes. A haplotype is a sequence of SNPs from a single copy of a chromosome, and haplotype assembly from SNP fragments is based on DNA fragments with SNPs and the methodology of shotgun sequence assembly. In contrast to conventional combinatorial models which aim at different error types in SNP fragments, in this paper we propose a new statistical model - a Markov chain model for haplotype assembly based on information of SNP fragments. The main advantage of this model over combinatorial ones is that it requires no prior information on error types in data. In addition, unlike exact algorithms with the exponential-time computation complexity for most combinatorial models, the proposed model can be solved in polynomial time and thus is efficient for large-scale problems. Experiment results on several data sets illustrate the effectiveness of the new method.

A Markov chain model for haplotype assembly from SNP fragments.