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Plasmids

Plasmids

Plasmids are extrachromosomal DNA molecules found in bacteria, archaea, and some eukaryotic microbes like yeast. These small, circular DNA structures typically contain fewer than 30 genes, although some may exist linearly. Plasmids vary in their number within a cell, known as copy number. Single-copy plasmids are present in one copy per cell and multi-copy plasmids are present in multiple copies, reaching over 100 copies per cell.Plasmids usually replicate independently of the chromosomal DNA...

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Updated: Jun 17, 2026

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae

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Published on: April 25, 2015

2025年PLSDB更新:增强注释和改善功能,用于全面的等离子体研究.

Leidy-Alejandra G Molano¹, Pascal Hirsch¹, Matthias Hannig²

¹Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Nucleic acids research

|November 20, 2024

概括

更新的等离子体数据库 (PLSDB) 现在包含超过72,000条条目,为等离子体研究和AI开发提供了增强的数据. 这个版本具有精细的分类,新的功能注释,以及改进的用户界面,以提高可访问性.

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Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

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Plasmid Stability Analysis with Open-Source Droplet Microfluidics

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Last Updated: Jun 17, 2026

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae

A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae

Published on: April 25, 2015

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Rapid Assembly of Multi-Gene Constructs using Modular Golden Gate Cloning

Published on: February 5, 2021

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Plasmid Stability Analysis with Open-Source Droplet Microfluidics

Published on: December 27, 2024

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

等离子体是细菌和古生物中关键的染色体外DNA元素,调解横向基因转移,抗生素耐药性和致病性.
等离子体数据库 (PLSDB) 作为访问和分析等离子体数据的重要资源.

研究的目的:

介绍PLSDB的最新版本,详细介绍其扩展内容,增强功能和改进的可用性.
为生命科学家提供全面的等离子体信息,为计算机科学家提供精心策划的数据集,用于人工智能开发.

主要方法:

通过精细识别和分类等离子体宿主生态系统和疾病来丰富PLSDB.
纳入功能结构的新注释,如蛋白质编码基因和生物合成基因集群.
增强现有的注释,包括抗微生物耐药性基因和移动性类型.
重建网络服务器架构和数据结构,以提高性能和用户界面.

主要成果:

现在,PLSDB已经成长为72,360条条目,比2021年版的34,513条记录大幅增加.
功能元素的新注释和对主机相关数据的改进分类已被添加.
数据库提供了增强的可视化选项和更用户友好的界面,减少了响应时间.

结论:

最新的PLSDB版本为等离子体研究和AI应用提供了更全面,更准确和更容易获得的资源.
数据库的扩展范围和改进的性能促进了对等离子体多样性和功能的高级分析.