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Related Concept Videos

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Updated: Apr 12, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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Haplotype-resolved genome sequencing: experimental methods and applications.

Matthew W Snyder1, Andrew Adey2, Jacob O Kitzman3

  • 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.

Nature Reviews. Genetics
|May 8, 2015
PubMed
Summary
This summary is machine-generated.

Resolving human genome haplotypes is crucial for complete interpretation. Emerging technologies and computational methods are improving haplotype phasing accuracy for research and clinical applications.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Human genomes are diploid, requiring haplotype information for complete analysis.
  • Current whole-genome sequencing often leaves haplotypes unresolved, especially for rare alleles.
  • Inferential methods struggle with accurate haplotype resolution.

Purpose of the Study:

  • To review emerging technologies for experimental haplotype phasing.
  • To discuss computational methods for implementing and assessing haplotype phasing.
  • To highlight the relevance of haplotype information in genomic research and medicine.

Main Methods:

  • Review of emerging experimental technologies for haplotype phasing.
  • Discussion of computational approaches for haplotype phasing implementation.
  • Examination of metrics for evaluating phasing accuracy and completeness.

Main Results:

  • Emerging technologies offer new ways to experimentally resolve haplotypes.
  • Computational methods are advancing to support experimental phasing.
  • Metrics are being developed to assess the quality of phased haplotypes.

Conclusions:

  • Accurate haplotype phasing is essential for comprehensive genome interpretation.
  • Technological and computational advancements are improving the ability to resolve haplotypes.
  • Haplotype information has significant implications for genomic research and clinical medicine.