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関連する概念動画

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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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....
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Biostatistics: Overview01:20

Biostatistics: Overview

365
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
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Genomics02:02

Genomics

37.4K
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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RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Updated: Sep 9, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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BioVizSeq:バイオシーケンスの要素を視覚化するためのRパッケージ

Shiqi Zhao1, Runqi Zhang1, Maoqiu He1

  • 1School of Fishery, Zhejiang Ocean University, Zhoushan, China.

Frontiers in plant science
|September 4, 2025
PubMed
まとめ

BioVizSeqは,生物学的配列要素を視覚化するための新しいRパッケージです. 柔軟で使いやすいツールを研究者に提供し,様々なデータソースから出版品質の数字を作成します.

科学分野:

  • バイオ情報学
  • コンピュータ生物学
  • ゲノミクス

背景:

  • 生物学的な配列の機能的要素を視覚化することは,注釈と出版のために非常に重要です.
  • 既存のツールは パーソナライズされた研究ニーズに対応する柔軟性がないことが多い.
  • R言語は データ可視化に強力な機能を備えています

研究 の 目的:

  • 生物学的配列要素を視覚化するための柔軟でユーザーフレンドリーなRパッケージを開発する.
  • 研究者たちに様々なアノテーションデータを統合するためのツールを提供すること.
  • 科学出版のための高品質の数字の作成を容易にする.

主な方法:

  • Rのグラフィックディスプレイの利点を利用したBioVizSeq Rパッケージの開発.
  • GFF/GTF,MEME,SMART,Plantcare,PFAM,CDDなど様々なソースからのデータを統合する.
  • アクセシビリティのためのローカルとオンラインの実行オプションの実施

主要な成果:

  • BioVizSeqは,バイオシーケンス内の要素タイプと分布を視覚化することを可能にします.
  • このパッケージは,ユーザが作成した情報源や一般的な分析プログラムから得られたデータを含んでいます.
キーワード:
BioVizSeq についてバイオシーケンスエレメントシャイニーアプリ視覚化

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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関連する実験動画

Last Updated: Sep 9, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

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Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
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Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

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  • 様々なユーザーの要求に応える一般的なビジュアライゼーションとパーソナライズされたビジュアライゼーションの両方を提供する.
  • 結論:

    • BioVizSeqは,生物学的配列の注釈を視覚化するための柔軟でアクセス可能なソリューションを提供します.
    • Rパッケージは,広範囲にわたるコーディングの経験のない研究者を含め,公表可能なデータを生成することを可能にします.
    • 生物学的研究における機能的要素データの統合とプレゼンテーションを改善します.