• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

BisoGenet:一种用于基因网络构建、可视化和分析的新工具。

BisoGenet: a new tool for gene network building, visualization and analysis.

机构信息

Center for Genetic Engineering and Biotechnology, Havana, Cuba.

出版信息

BMC Bioinformatics. 2010 Feb 17;11:91. doi: 10.1186/1471-2105-11-91.

DOI:10.1186/1471-2105-11-91
PMID:20163717
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3098113/
Abstract

BACKGROUND

The increasing availability and diversity of omics data in the post-genomic era offers new perspectives in most areas of biomedical research. Graph-based biological networks models capture the topology of the functional relationships between molecular entities such as gene, protein and small compounds and provide a suitable framework for integrating and analyzing omics-data. The development of software tools capable of integrating data from different sources and to provide flexible methods to reconstruct, represent and analyze topological networks is an active field of research in bioinformatics.

RESULTS

BisoGenet is a multi-tier application for visualization and analysis of biomolecular relationships. The system consists of three tiers. In the data tier, an in-house database stores genomics information, protein-protein interactions, protein-DNA interactions, gene ontology and metabolic pathways. In the middle tier, a global network is created at server startup, representing the whole data on bioentities and their relationships retrieved from the database. The client tier is a Cytoscape plugin, which manages user input, communication with the Web Service, visualization and analysis of the resulting network.

CONCLUSION

BisoGenet is able to build and visualize biological networks in a fast and user-friendly manner. A feature of Bisogenet is the possibility to include coding relations to distinguish between genes and their products. This feature could be instrumental to achieve a finer grain representation of the bioentities and their relationships. The client application includes network analysis tools and interactive network expansion capabilities. In addition, an option is provided to allow other networks to be converted to BisoGenet. This feature facilitates the integration of our software with other tools available in the Cytoscape platform. BisoGenet is available at http://bio.cigb.edu.cu/bisogenet-cytoscape/.

摘要

背景

在后基因组时代,组学数据的可用性不断增加且种类日益丰富,为大多数生物医学研究领域提供了新的视角。基于图的生物网络模型捕捉了分子实体(如基因、蛋白质和小分子)之间功能关系的拓扑结构,为整合和分析组学数据提供了合适的框架。开发能够整合来自不同来源的数据并提供灵活的方法来重建、表示和分析拓扑网络的软件工具是生物信息学中的一个活跃研究领域。

结果

BisoGenet 是一个用于可视化和分析生物分子关系的多层应用程序。该系统由三个层次组成。在数据层,内部数据库存储基因组学信息、蛋白质-蛋白质相互作用、蛋白质-DNA 相互作用、基因本体论和代谢途径。在中间层,在服务器启动时创建一个全局网络,代表从数据库中检索到的生物实体及其关系的全部数据。客户端层是 Cytoscape 的一个插件,用于管理用户输入、与 Web 服务的通信、可视化和分析生成的网络。

结论

BisoGenet 能够快速、用户友好地构建和可视化生物网络。BisoGenet 的一个特点是能够包含编码关系,以区分基因与其产物。此功能对于实现更精细的生物实体及其关系表示非常有用。客户端应用程序包括网络分析工具和交互式网络扩展功能。此外,还提供了将其他网络转换为 BisoGenet 的选项。此功能有助于将我们的软件与 Cytoscape 平台中提供的其他工具集成。BisoGenet 可在 http://bio.cigb.edu.cu/bisogenet-cytoscape/ 获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/4026092b44d3/1471-2105-11-91-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/b6b6f87c95ae/1471-2105-11-91-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/d97ced4b53c1/1471-2105-11-91-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/05e99bf64e27/1471-2105-11-91-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/4026092b44d3/1471-2105-11-91-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/b6b6f87c95ae/1471-2105-11-91-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/d97ced4b53c1/1471-2105-11-91-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/05e99bf64e27/1471-2105-11-91-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7326/3098113/4026092b44d3/1471-2105-11-91-4.jpg

相似文献

1
BisoGenet: a new tool for gene network building, visualization and analysis.BisoGenet:一种用于基因网络构建、可视化和分析的新工具。
BMC Bioinformatics. 2010 Feb 17;11:91. doi: 10.1186/1471-2105-11-91.
2
GenePro: a Cytoscape plug-in for advanced visualization and analysis of interaction networks.GenePro:一款用于高级可视化和分析相互作用网络的Cytoscape插件。
Bioinformatics. 2006 Sep 1;22(17):2178-9. doi: 10.1093/bioinformatics/btl356.
3
Biana: a software framework for compiling biological interactions and analyzing networks.比娅娜:一个用于编译生物相互作用和分析网络的软件框架。
BMC Bioinformatics. 2010 Jan 27;11:56. doi: 10.1186/1471-2105-11-56.
4
BioNetBuilder: automatic integration of biological networks.生物网络构建器:生物网络的自动整合
Bioinformatics. 2007 Feb 1;23(3):392-3. doi: 10.1093/bioinformatics/btl604. Epub 2006 Nov 30.
5
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining.ProteoLens:一种用于多尺度数据库驱动的生物网络数据挖掘的可视化分析工具。
BMC Bioinformatics. 2008 Aug 12;9 Suppl 9(Suppl 9):S5. doi: 10.1186/1471-2105-9-S9-S5.
6
MetaNetter: inference and visualization of high-resolution metabolomic networks.MetaNetter:高分辨率代谢组学网络的推断与可视化
Bioinformatics. 2008 Jan 1;24(1):143-5. doi: 10.1093/bioinformatics/btm536. Epub 2007 Nov 14.
7
Analyzing networks with VisANT.使用VisANT分析网络。
Curr Protoc Bioinformatics. 2004 Dec;Chapter 8:Unit 8.8. doi: 10.1002/0471250953.bi0808s08.
8
APID2NET: unified interactome graphic analyzer.APID2NET:统一的相互作用组图形分析器。
Bioinformatics. 2007 Sep 15;23(18):2495-7. doi: 10.1093/bioinformatics/btm373. Epub 2007 Jul 21.
9
PATIKAweb: a Web interface for analyzing biological pathways through advanced querying and visualization.PATIKAweb:一个通过高级查询和可视化来分析生物途径的Web界面。
Bioinformatics. 2006 Feb 1;22(3):374-5. doi: 10.1093/bioinformatics/bti776. Epub 2005 Nov 15.
10
ZoomOut: Analyzing Multiple Networks as Single Nodes.缩小显示:将多个网络作为单个节点进行分析。
IEEE/ACM Trans Comput Biol Bioinform. 2015 Sep-Oct;12(5):1213-6. doi: 10.1109/TCBB.2015.2424411.

引用本文的文献

1
Integrated network pharmacology and experiments to reveal the anti-inflammatory mechanism of Qinghuo Rougan Formula in uveitis.整合网络药理学与实验揭示清火柔肝方治疗葡萄膜炎的抗炎机制
Front Mol Biosci. 2025 Jul 11;12:1632027. doi: 10.3389/fmolb.2025.1632027. eCollection 2025.
2
Spatial and functional profiles distinguish target sets of Parkinson's disease and antipsychotic drugs with different clinical effects.空间和功能特征区分了具有不同临床效果的帕金森病和抗精神病药物的靶点集。
Transl Psychiatry. 2025 Apr 4;15(1):124. doi: 10.1038/s41398-025-03351-1.
3
Baicalin Ameliorates Depression-like Behaviors via Inhibiting Neuroinflammation and Apoptosis in Mice.

本文引用的文献

1
Hypergraphs and cellular networks.超图与细胞网络。
PLoS Comput Biol. 2009 May;5(5):e1000385. doi: 10.1371/journal.pcbi.1000385. Epub 2009 May 29.
2
A survey of visualization tools for biological network analysis.生物网络分析的可视化工具调查。
BioData Min. 2008 Nov 28;1:12. doi: 10.1186/1756-0381-1-12.
3
PID: the Pathway Interaction Database.PID:通路相互作用数据库。
黄芩苷通过抑制小鼠神经炎症和细胞凋亡改善抑郁样行为。
Int J Mol Sci. 2024 Sep 24;25(19):10259. doi: 10.3390/ijms251910259.
4
Modulation of Neuronal Excitability and Plasticity by BHLHE41 Conveys Lithium Non-Responsiveness.BHLHE41对神经元兴奋性和可塑性的调节导致锂不反应性。
bioRxiv. 2024 Jul 25:2024.07.25.605130. doi: 10.1101/2024.07.25.605130.
5
From calcium imaging to graph topology.从钙成像到图拓扑结构。
Netw Neurosci. 2022 Oct 1;6(4):1125-1147. doi: 10.1162/netn_a_00262. eCollection 2022.
6
Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach.解析呼吸道上皮细胞对 HCoV-229E 和 SARS-CoV-2 反应的分子机制的相似性和差异性,以及药物再利用的系统生物学方法。
Daru. 2024 Jun;32(1):215-235. doi: 10.1007/s40199-024-00507-0. Epub 2024 Apr 23.
7
Network pharmacology combined with experimental validation to investigate the effect of Rongjin Niantong Fang on chondrocyte apoptosis in knee osteoarthritis.网络药理学结合实验验证探讨荣筋拈痛方对膝骨关节炎软骨细胞凋亡的影响。
Mol Med Rep. 2024 Jun;29(6). doi: 10.3892/mmr.2024.13226. Epub 2024 Apr 19.
8
Network Pharmacology Analysis of Liquid-Cultured Mycelial Metabolites and Their Molecular Mechanism of Action against Gastric Cancer.液体培养菌丝体代谢产物抗胃癌作用的网络药理学分析及其分子机制。
Molecules. 2024 Apr 8;29(7):1668. doi: 10.3390/molecules29071668.
9
Cross Talk between MicroRNAs and Dengue Virus.MicroRNAs 与登革病毒之间的串扰。
Am J Trop Med Hyg. 2024 Apr 2;110(5):856-867. doi: 10.4269/ajtmh.23-0546. Print 2024 May 1.
10
New Target for Minoxidil in the Treatment of Androgenetic Alopecia.米诺地尔治疗雄激素性脱发的新靶点。
Drug Des Devel Ther. 2023 Aug 24;17:2537-2547. doi: 10.2147/DDDT.S427612. eCollection 2023.
Nucleic Acids Res. 2009 Jan;37(Database issue):D674-9. doi: 10.1093/nar/gkn653. Epub 2008 Oct 2.
4
KEGG for linking genomes to life and the environment.京都基因与基因组百科全书,用于将基因组与生命及环境相联系。
Nucleic Acids Res. 2008 Jan;36(Database issue):D480-4. doi: 10.1093/nar/gkm882. Epub 2007 Dec 12.
5
BiNoM: a Cytoscape plugin for manipulating and analyzing biological networks.BiNoM:一款用于操作和分析生物网络的Cytoscape插件。
Bioinformatics. 2008 Mar 15;24(6):876-7. doi: 10.1093/bioinformatics/btm553. Epub 2007 Nov 16.
6
Ensembl 2008.Ensembl 2008。
Nucleic Acids Res. 2008 Jan;36(Database issue):D707-14. doi: 10.1093/nar/gkm988. Epub 2007 Nov 13.
7
The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.代谢途径与酶的MetaCyc数据库以及途径/基因组数据库的BioCyc集合。
Nucleic Acids Res. 2008 Jan;36(Database issue):D623-31. doi: 10.1093/nar/gkm900. Epub 2007 Oct 27.
8
Splicing in disease: disruption of the splicing code and the decoding machinery.疾病中的剪接:剪接密码与解码机制的破坏
Nat Rev Genet. 2007 Oct;8(10):749-61. doi: 10.1038/nrg2164. Epub 2007 Aug 29.
9
Tools for visually exploring biological networks.用于直观探索生物网络的工具。
Bioinformatics. 2007 Oct 15;23(20):2651-9. doi: 10.1093/bioinformatics/btm401. Epub 2007 Aug 25.
10
APID2NET: unified interactome graphic analyzer.APID2NET:统一的相互作用组图形分析器。
Bioinformatics. 2007 Sep 15;23(18):2495-7. doi: 10.1093/bioinformatics/btm373. Epub 2007 Jul 21.