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相关概念视频

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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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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Conservation of Protein Domains02:26

Conservation of Protein Domains

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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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相关实验视频

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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
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MAFin:在多个对齐文件中的图案检测.

Michail Patsakis1,2, Kimonas Provatas1,2,3, Fotis A Baltoumas4

  • 1Institute for Personalized Medicine, Department of Molecular and Precision Medicine, The Pennsylvania State University College of Medicine, Hershey, PA 17033, United States.

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概括
此摘要是机器生成的。

MAFin 是一种用于检测多重对齐格式 (MAF) 文件中的保存图案的新工具,对于比较基因组学和蛋白质组学至关重要. 它提供高效的图案检测和保护分析,简化研究.

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科学领域:

  • 基因组学就是基因组学.
  • 蛋白质组学是指蛋白质组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 多重对齐格式 (MAF) 文件是比较基因组学和蛋白质组学中的标准.
  • 在MAF文件中识别保存的图案对于理解功能和进化关系至关重要.
  • 现有的方法缺乏对MAF文件的直接动机检测能力.

研究的目的:

  • 介绍MAFin,这是一个用于MAF文件中模式检测和保存分析的新工具.
  • 解决目前在MAF数据中分析保存动机的方法中的差距.
  • 通过有效的动机识别,简化基因组和蛋白质组研究.

主要方法:

  • MAFin 是一个Python包,可实现多线程图案搜索.
  • 支持使用用户指定的k-mers,正则表达式或位置权重矩阵来检测图案.
  • 计算图案保护百分比,并提供统计数据用于解释.

主要成果:

  • MAFin是第一个专门用于在MAF文件中检测图案的工具.
  • 成功识别动机实例并量化跨对齐序列的保护.
  • 出口检测到JSON和CSV格式的动机和保护数据,用于下游分析.

结论:

  • MAFin提供了一种高效和多功能解决方案,用于在MAF文件中发现图案.
  • 增强了在比较基因组学和蛋白质组学中保存元素的分析.
  • 促进从序列对齐更深入地了解功能和进化见解.