ProtozoaDB: dynamic visualization and exploration of protozoan genomes.

ProtozoaDB: dynamic visualization and exploration of protozoan genomes.
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ProtozoaDB:原生动物基因组的动态可视化和探索。

DOI:
10.1093/nar/gkm820
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发表时间:
2008-01
影响因子:
14.9
通讯作者:
Mattoso, Marta
Mattoso, Marta
中科院分区:
生物学2区
文献类型:
--
作者:
Davila, Alberto M. R.;Mendes, Pablo N.;Wagner, Glauber;Tschoeke, Diogo A.;Cuadrat, Rafael R. C.;Liberman, Felipe;Matos, Luciana;Satake, Thiago;Ocana, Kary A. C. S.;Triana, Omar;Cruz, Sergio M. S.;Juca, Henrique C. L.;Cury, Juliano C.;Silva, Fabricio N.;Geronimo, Guilherme A.;Ruiz, Margarita;Ruback, Eduardo;Silva, Floriano P., Jr.;Probst, Christian M.;Grisard, Edmundo C.;Krieger, Marco A.;Goldenberg, Samuel;Cavalcanti, Maria C. R.;Moraes, Milton O.;Campos, Maria L. M.;Mattoso, Marta

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ProtozoaDB(http://www.biowebdb.org/protozoadb)正在开发中,最初用于托管恶性疟原虫、溶组织内阿米巴、布氏锥虫、T.但随着更多的基因组测序,它有望成为其他原生动物物种的宿主。它基于基因组学统一模式,并提供了一个现代化的基于Web的界面,用于用户友好的数据可视化和探索。该数据库并不旨在复制其他类似的工作,如GeneDB,PlasmoDB,TcruziDB甚至TDRTargets,而是通过提供进一步的分析来补充,重点是远距离相似性(基于HMM)和基于同源性的注释,包括同源性分析。ProtozoaDB将逐步与上述数据库连接,重点是通过诸如万维网服务等先进的可互操作万维网工具,对信息进行多源动态组合。此外,提供网络服务将允许第三方软件在自动管道(工作流程)或其他可互操作的网络技术中检索和使用ProtozoaDB中的数据,促进更好的信息重用和集成。我们还希望ProtozoaDB能够促进当地和区域生物信息学能力(研究和培训)的发展,从而促进/加强发展中国家的科学进步。
ProtozoaDB (http://www.biowebdb.org/protozoadb) is being developed to initially host both genomics and post-genomics data from Plasmodium falciparum, Entamoeba histolytica, Trypanosoma brucei, T. cruzi and Leishmania major, but will hopefully host other protozoan species as more genomes are sequenced. It is based on the Genomics Unified Schema and offers a modern Web-based interface for user-friendly data visualization and exploration. This database is not intended to duplicate other similar efforts such as GeneDB, PlasmoDB, TcruziDB or even TDRtargets, but to be complementary by providing further analyses with emphasis on distant similarities (HMM-based) and phylogeny-based annotations including orthology analysis. ProtozoaDB will be progressively linked to the above-mentioned databases, focusing in performing a multi-source dynamic combination of information through advanced interoperable Web tools such as Web services. Also, to provide Web services will allow third-party software to retrieve and use data from ProtozoaDB in automated pipelines (workflows) or other interoperable Web technologies, promoting better information reuse and integration. We also expect ProtozoaDB to catalyze the development of local and regional bioinformatics capabilities (research and training), and therefore promote/enhance scientific advancement in developing countries.
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