Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
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...
7.1K
Phylogenetic Trees03:21

Phylogenetic Trees

50.3K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
50.3K
Phylogeny01:23

Phylogeny

63.5K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
63.5K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
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...
4.9K
Manipulation and Analysis01:21

Manipulation and Analysis

309
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
309

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Global approaches to infectious disease surveillance and modeling.

Nature medicine·2026
Same author

Oropouche virus: transmission, epidemiology, genetic diversity, and public health implications.

EClinicalMedicine·2026
Same author

The emergence and molecular evolution of H5N1 influenza viruses in United States dairy cattle.

bioRxiv : the preprint server for biology·2026
Same author

Gamma SARS-CoV-2 variant of concern infection repercussions on pregnancy outcomes: A translational cohort study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same author

Transmission dynamics of Oropouche virus in Latin America and the Caribbean.

Nature medicine·2026
Same author

Dengue transmission heterogeneity across Indonesia's archipelago: Climate-driven spatiotemporal patterns and policy implications.

PLoS neglected tropical diseases·2026

関連する実験動画

Updated: Feb 26, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.2K

SERAPHIM 2.0: 分類学的情報に基づいた移動を研究するための拡張ツールボックス

Simon Dellicour1,2,3, Nuno R Faria4,5, Rebecca Rose6

  • 1Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Bioinformatics (Oxford, England)
|February 24, 2026
PubMed
まとめ

更新された「seraphim」Rパッケージは、病原体進化のための系統地理学的分析を強化します。拡散の視覚化、移動指標の推定、病原体拡散への環境影響のテストのための新しいツールを提供します。

キーワード:
系統地理学病原体進化分子疫学Rパッケージ計算生物学バイオインフォマティクス

さらに関連する動画

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

4.0K

関連する実験動画

Last Updated: Feb 26, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

36.2K
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.7K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

4.0K

科学分野:

  • 計算生物学
  • 分子疫学
  • バイオインフォマティクス

背景:

  • 空間的に明示的な系統地理学的再構築は、病原体進化を理解するために重要です。
  • 連続的な系統地理学的推論は、病原体拡散履歴と時空間的ダイナミクスの再構築に役立ちます。

研究 の 目的:

  • Rパッケージ「seraphim」の第2版を紹介すること。
  • 空間的に明示的な系統地理学的再構築を処理および分析するための強化されたツールボックスを提供すること。

主な方法:

  • 「seraphim」パッケージは、系統地理学的推論を視覚化するための機能を提供します。
  • 系統地理学的シミュレータおよび系統拡散指標の推定が含まれます。
  • 拡散速度、場所、頻度に影響を与える環境要因の仮説検定を実装します。

主要な成果:

  • パッケージは、病原体拡散パターンの包括的な分析を容易にします。
  • 病原体拡散の推進要因の詳細な調査を可能にします。

結論:

  • 「seraphim」Rパッケージは、分子疫学のための貴重なリソースです。
  • バージョン2は、病原体の時空間的ダイナミクスと環境的影響の分析機能を拡張します。