Leveraging reads that span multiple single nucleotide polymorphisms for haplotype inference from sequencing data.

Abstract excerpt

MOTIVATION: Haplotypes, defined as the sequence of alleles on one chromosome, are crucial for many genetic analyses. As experimental determination of haplotypes is extremely expensive, haplotypes are traditionally inferred using computational approaches from genotype data, i.e. the mixture of the genetic information from both haplotypes. Best performing approaches for haplotype inference rely on Hidden Markov...

Topics

• Algorithms
• Alleles
• Genome, Human
• Genotyping Techniques
• HapMap Project
• Haplotypes
• High-Throughput Nucleotide Sequencing
• Humans
• Models, Statistical
• Polymorphism, Single Nucleotide