课题基金 / 基金详情

Genestorian: a web application to document and trace genetic modifications in model organism and cell line collections.

Genestorian: a web application to document and trace genetic modifications in model organism and cell line collections.
Genestorian:一个网络应用程序,用于记录和追踪模型生物和细胞系集合中的遗传修饰。
批准号:
EP/Y024591/1
负责人:
Jurg Bahler
金额:
$25.55万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

Jurg Bahler的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Currently, no open standards exist to unambiguously describe cloning strategies, genotypes and allele inheritance. Consequently, laboratories often store their plasmids, cell lines and strains in spreadsheets or text-based systems, which are necessarily inconsistent and differ between collections. Therefore, for curators or even members of a laboratory, it can be time-consuming or impossible to know the sequence and provenance of a plasmid or allele. Since biological knowledge bases (UniProt, model organism databases, etc.) rely on links between gene variants and phenotypes to annotate functions to gene products, the current situation limits the reusability of biological resources and the broad impact of research.I propose to develop Genestorian, a web application to manage collections of oligonucleotides, plasmids, strains and cell lines where sequences can be traced through cloning steps up to their entry into the collection. Researchers will plan the generation of new resources from existing ones, with new sequences generated by in silico cloning. Consequently, data standardisation will occur at the planning stage, and will not be a burden at submission stages. It will be easy to query the collection, access the sequence, ancestry and progeny of resources, and export this information for the methods section of a paper or in a standard format. Standardisation will enable information exchange between laboratory collections, journals, knowledge bases and resource repositories. Therefore, Genestorian aligns with the European Union commitment to Open Science and will promote resource reusability and maximise the impact of genetic research, facilitating its reproducibility and interpretation by tracing results to specific DNA sequences.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Long non-coding RNA function during cellular ageing
  • 批准号:
    BB/R018219/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $53.43万
  • 财政年份:
    2018
  • 负责人:
    Jurg Bahler
  • 依托单位:
Leveraging functional profiling datasets with machine learning to uncover proteins and cellular processes important for ageing
  • 批准号:
    BB/R009597/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $99.29万
  • 财政年份:
    2018
  • 负责人:
    Jurg Bahler
  • 依托单位:
Identification of genetic factors affecting cellular ageing in fission yeast
  • 批准号:
    BB/I012451/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $99.89万
  • 财政年份:
    2012
  • 负责人:
    Jurg Bahler
  • 依托单位:
国内基金
海外基金
基于动态扩散模型与代码知识迁移的Web服务特征增强方法研究
  • 批准号:
    2026JJ80511
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    肖勇
  • 依托单位:
面向Web3D虚拟学习空间的教育智能体系统构建与应用
  • 批准号:
    2025JJ80330
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    龙艳军
  • 依托单位:
基于Web3D元宇宙的实时渲染关键技术研究和应用
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    宋三泰
  • 依托单位:
基于语义理解的多轮多约束Web服务推荐技术
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
  • 依托单位: