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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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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...
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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
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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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Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.
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Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
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Novel Sequence Discovery by Subtractive Genomics
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SPLASH: 統計的,参照のないゲノムアルゴリズムは,生物学的発見を統一する

Kaitlin Chaung1, Tavor Z Baharav2, George Henderson1

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

Cell
|December 8, 2023
PubMed
まとめ
この要約は機械生成です。

SPLASH (Statistically Primary aLignment Agnostic Sequence Homing) を紹介する.これは,未処理の配列データを分析する新しいゲノミクス手法である. このアプローチは,より広範な生物学的発見を可能にする,配列の変異を直接識別するために,参照ゲノムをバイパスします.

キーワード:
RNA-seq についてコンピュータ生物学遺伝子についてゲノム学レファレンスフリー単細胞RNA-seqスプライシング統計について

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科学分野:

  • ゲノミクス
  • バイオ情報学
  • コンピュータ生物学

背景:

  • 現在のゲノミクスのワークフローは 参照シーケンスに依存しており 新しい生物学的洞察の発見を制限しています
  • 参照ベースの分析は複雑な変異と非モデル生物と闘っています.

研究 の 目的:

  • ゲノム解析の統一パラダイムとして,SPLASH (統計的にプライマリーアライメントアグノスティックシーケンスホーミング) を導入する.
  • 参照ゲノムなしでサンプル特有の配列変異を特定するために,原始配列データの直接分析を可能にします.

主な方法:

  • SPLASHは統計的テストを使用して,未処理のシーケンシングデータを直接分析します.
  • この方法はスケーラビリティのために設計され,様々な種類のシーケンスの変化を検出します.
  • メタデータや参照ゲノムに頼る必要はありません.

主要な成果:

  • SPLASHはSARS-CoV-2における複雑な変異パターンを特定した.
  • 単細胞レベルで制御されたRNAアイソフォームを発見した.
  • 適応性免疫受容体の多様性を検知し,環境および組織特有の変異を含む非モデル生物における新しい生物学を発見した.

結論:

  • SPLASHは ゲノム解析の統合的なアプローチを提供し 発見の可能性を広げています
  • この方法は,参照ゲノムの可用性に関係なく,生物学的システムの探索を容易にする.
  • 遺伝的および規制的変異のスケーラブルで参照不可解な発見を可能にします.