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相关概念视频

Genomics02:02

Genomics

41.8K
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...
41.8K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.4K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
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...
7.2K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

21.7K
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.
21.7K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

3.7K
No description available
3.7K
Evolution of Microbial Genome01:08

Evolution of Microbial Genome

48
Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
48

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LEC-Codec:基于学习的基因组数据压缩.

Zhenhao Sun, Meng Wang, Shiqi Wang

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    概括
    此摘要是机器生成的。

    我们推出了基于学习的基因组编码器 (LEC),以实现高效和灵活的无损数据压缩. 这种深度学习模型优化了各种应用程序的压缩性能和速度.

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    科学领域:

    • 生物信息学是一种生物信息学.
    • 计算机科学 计算机科学
    • 数据压缩数据压缩

    背景情况:

    • 基因组数据需要高效的压缩技术.
    • 现有的编解码器在平衡压缩比,速度和灵活性方面面临挑战.
    • 深度学习为数据驱动的压缩提供了新的方法.

    研究的目的:

    • 提出一个新的基于学习的基因组编码 (LEC).
    • 为了提高无损基因组数据压缩的效率和灵活性.
    • 为了优化编码复杂性和压缩性能之间的权衡.

    主要方法:

    • 集成基数组 (GoB) 压缩,多步编码和双向预测.
    • 应用数据驱动的深度神经网络模型用于符号概率推理.
    • 开发一个完全可并行编码和解码架构.

    主要成果:

    • 在压缩性能方面,LEC表现出高效率.
    • 在编码复杂性和压缩性能之间实现了最佳平衡.
    • 展示了对现实世界基因组数据应用的改进灵活性.

    结论:

    • 拟议的LEC在基因组数据压缩方面取得了重大进展.
    • 数据驱动的方法使得可适应性性能能够适应各种应用.
    • LEC提供了一种高效灵活的解决方案,用于对基因组序列进行无损压缩.