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相关概念视频

Proteomics01:33

Proteomics

7.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.2K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.4K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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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相关实验视频

Updated: Jun 8, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

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诺沃林:通过序列对齐进行metaproteomics.

Hugo B C Kleikamp1, Ramon van der Zwaan1, Ramon van Valderen1

  • 1Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, Delft 2629HZ, The Netherlands.

ISME communications
|November 4, 2024
PubMed
概括
此摘要是机器生成的。

诺沃林 (NovoLign) 是一种新的管道,可以在不需要预先构建的数据库的情况下分析metaproteomics数据. 它提供了快速的分类分析,并提高了微生物群体分析的准确性.

关键词:
在 de novo 测序中使用 de novo 测序.形态保护学与形态保护学微生物群落中的微生物群落.顺序对齐的顺序对齐.

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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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相关实验视频

Last Updated: Jun 8, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
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An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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An Integrated Approach for Microprotein Identification and Sequence Analysis

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科学领域:

  • 微生物生态学 微生物生态学
  • 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:

  • 对微生物生态学至关重要的元蛋白质组学传统上依赖于数据库搜索.
  • 数据库创建用于metaproteomics是复杂的,耗时的,容易出现错误,可能会产生偏见的结果.

研究的目的:

  • 为了引入NovoLign,一个新的metaproteomics管道.
  • 提供快速和直角的洞察力到metaproteomics数据.
  • 为了实现分类学分析和评估数据库搜索结果.

主要方法:

  • 诺沃林 (NovoLign) 从元蛋白质组学数据中执行新序列的序列对齐.
  • 该管道使用in silico和实验数据进行了验证,包括纯种植,丰富种植,合成社区和环境样本.

主要成果:

  • 诺沃林能够快速对复杂的微生物群落进行分类学分析.
  • 它有效地评估数据库搜索结果的分类学覆盖范围.
  • 该管道支持创建参考序列数据库,以增强覆盖范围.

结论:

  • 诺沃林 (NovoLign) 提供了一种新的对元蛋白组学的方法,克服了传统数据库搜索的局限性.
  • 它促进了准确的分类学概况,并提高了metaproteomics研究的可靠性.
  • 该管道是公开的,并支持对微生物群落的全面分析.