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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...

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関連する実験動画

Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

配列の不確実性とゲノム解析について

Karen M Wong1, Marc A Suchard, John P Huelsenbeck

  • 1Section of Ecology, Behavior and Evolution, University of California, San Diego, La Jolla, CA 92093, USA.

Science (New York, N.Y.)
|January 26, 2008
PubMed
まとめ
この要約は機械生成です。

ゲノムデータの分析のための統計的方法では,配列並びの不確実性が無視されます. これは,比較ゲノミクスの研究において,異なるアライメント方法によって,矛盾する結論が得られる可能性があります.

関連する実験動画

Last Updated: Jul 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

科学分野:

  • ゲノミクスゲノミクスとは
  • バイオインフォマティックス
  • コンピュータ生物学 コンピュータ生物学

背景:

  • ゲノムデータの分析のための現在の統計的方法では,配列の並べ替えが正確であると仮定しています.
  • この仮定は,何千もの遺伝子を分析する比較ゲノミクスではしばしば違反し,その多くは調整するのが困難です.

研究 の 目的:

  • 比較ゲノミクス分析におけるシーケンスアライナメントの不確実性の影響を調査する.
  • この不確実性が研究の結論にどのように影響するかを示すために.

主な方法:

  • 7種類の酵母菌のゲノムデータを活用した.
  • ゲノムデータ分析のための標準的な統計的方法が適用されました.

主要な成果:

  • 配列配列の不確実性は,比較ゲノミクスにおいて重大な問題を引き起こすことが示されました.
  • 同一のデータセットに適用された場合,異なるアライナメント方法によって異なる結論が得られました.

結論:

  • 比較ゲノミクスにおけるシーケンスアライメントの不確実性を考慮することは極めて重要です.
  • この不確実性を無視すると,信頼できない,あるいは矛盾する結果が出る可能性があります.