相关概念视频
Evolutionary Relationships through Genome Comparisons
6.1K
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...
6.1K
Genome Annotation and Assembly
19.3K
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.
19.3K
Modern Molecular Taxonomy
141
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...
141
Sanger Sequencing
757.1K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
757.1K
RNA-seq
10.4K
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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K
Next-generation Sequencing
92.6K
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....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
92.6K
您也可能阅读
相关文章
通过共同作者、期刊和引用图与本文相关的文章。
排序
Same author
On the optimization of copy number variations representation in pangenome graphs.
Frontiers in bioinformatics·2026
Same author
On the optimization of GWFA algorithm: enabling real-case applications supporting alignment backtracking.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author
A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
一种用于对基因组序列与图表对齐工具进行全面分析的新方法.
IEEE transactions on computational biology and bioinformatics
|August 14, 2025
概括
基因组图提供了高效的遗传变异性表示,但也带来了分析挑战. 我们介绍了一个基准套件和KPI,用于比较序列与图表对齐工具,以帮助该领域的研究.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 基因组图提供了对遗传变异性的紧表示,超越了传统的参考.
- 序列与图的对齐对于基于图的基因组分析至关重要,但计算密集.
- 由于复杂性和新性,缺乏对序列与图形对齐工具的标准化比较.
研究的目的:
- 提出一个方法来全面比较序列对图对齐工具.
- 引入第一个开源基准套件,用于对这些对齐器进行定量分析.
- 为改善序列对图对齐算法提供指导方针.
主要方法:
- 定义的关键绩效指标 (KPIs) 用于定性分析 (可用性,准确性,性能).
- 开发了一个开源的基准套件,用于对多个对齐器进行定量评估.
- 在最先进的序列对图对齐工具上测试了方法.
主要成果:
- 拟议的方法方便对调整工具进行结构化的比较.
- 基准套件为对齐器性能提供了有价值的见解.
- 证明了当前最先进的工具方法的有效性.
更多相关视频
10:40Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
Published on: December 22, 2017
10.6K
08:03Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
2.3K
结论:
- 开发的方法和基准套件可以有效评估序列到图对齐器.
- 这项工作解决了对比基因组图表对齐工具的标准化需求.
- 提供了指导方针,以推进基于图形的基因组分析领域.
