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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

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Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
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Next-generation Sequencing03:00

Next-generation Sequencing

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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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
87.9K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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採掘 ヒトゲノム草案の採掘

E Birney1, A Bateman, M E Clamp

  • 1The European Bioinformatics Institute, Hinxton, Cambridge, UK. birney@ebi.ac.uk

Nature
|March 10, 2001
PubMed
まとめ
この要約は機械生成です。

人間のゲノム配列は,遺伝子識別に課題を提示しています. 現在の方法は,より大きなゲノムの複雑さ,特に脊椎動物の複雑さと闘っています.

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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:

  • ヒトゲノム配列の草案が公開されたことで,その応用への関心が高まっています.
  • 新しいゲノム配列が遺伝子リストに翻訳される容易さを過大評価しています.
  • 特に脊椎動物のゲノムは,その大きさと複雑さにより,分析上の大きな課題となっています.

研究 の 目的:

  • 脊椎動物のゲノムを分析する際の課題を強調する.
  • 現在の遺伝子予測方法の限界を評価する.
  • ゲノム分析のためのより良い理解とツールの必要性を強調する.

主な方法:

  • 現在の遺伝子予測方法のレビュー.
  • より大きなゲノムデータセットに関連する複雑性の分析.
  • 脊椎動物のゲノム解析のスケールの議論.

主要な成果:

  • 新しく利用可能なゲノム配列からの遺伝子予測は,予想以上に複雑です.
  • 既存の遺伝子予測ツールは,複雑なゲノムに対処する際に限界があります.
  • 脊椎動物のゲノムの分析は,重要な計算技術と生物学的課題です.

結論:

  • 脊椎動物のゲノム解析の規模と複雑さをより深く理解する必要がある.
  • 現在の遺伝子予測方法は,複雑なゲノムを包括的に分析するには不十分です.
  • バイオインフォマティクスにおけるさらなる進歩とゲノム構造の理解が必要である.