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本文引用的文献

1
The Plasmodium falciparum Genome Project.恶性疟原虫基因组计划
Parasitol Today. 1998 Sep;14(9):342-4. doi: 10.1016/s0169-4758(98)01300-3.
2
ToxoDB: accessing the Toxoplasma gondii genome.弓形虫数据库:访问刚地弓形虫基因组
Nucleic Acids Res. 2003 Jan 1;31(1):234-6. doi: 10.1093/nar/gkg072.
3
A proteomic view of the Plasmodium falciparum life cycle.恶性疟原虫生命周期的蛋白质组学视角。
Nature. 2002 Oct 3;419(6906):520-6. doi: 10.1038/nature01107.
4
Genome sequence of the human malaria parasite Plasmodium falciparum.人类疟原虫恶性疟原虫的基因组序列。
Nature. 2002 Oct 3;419(6906):498-511. doi: 10.1038/nature01097.
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The Plasmodium genome database.疟原虫基因组数据库。
Nature. 2002 Oct 3;419(6906):490-2. doi: 10.1038/419490a.
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Prediction of MHC class I binding peptides, using SVMHC.使用SVMHC预测MHC I类结合肽。
BMC Bioinformatics. 2002 Sep 11;3:25. doi: 10.1186/1471-2105-3-25.
7
Shared knowledge can combat malaria.共享知识有助于抗击疟疾。
Nature. 2002 Sep 5;419(6902):15. doi: 10.1038/419015b.
8
Chromosome-wide SNPs reveal an ancient origin for Plasmodium falciparum.全染色体单核苷酸多态性揭示了恶性疟原虫的古老起源。
Nature. 2002 Jul 18;418(6895):323-6. doi: 10.1038/nature00836.
9
PlasmoDB: the Plasmodium genome resource. An integrated database providing tools for accessing, analyzing and mapping expression and sequence data (both finished and unfinished).疟原虫数据库(PlasmoDB):疟原虫基因组资源。一个集成数据库,提供用于访问、分析以及绘制表达和序列数据(包括完整和不完整数据)的工具。
Nucleic Acids Res. 2002 Jan 1;30(1):87-90. doi: 10.1093/nar/30.1.87.
10
Generation of patterns from gene expression data by assigning confidence to differentially expressed genes.通过对差异表达基因赋予置信度从基因表达数据生成模式。
Bioinformatics. 2000 Aug;16(8):685-98. doi: 10.1093/bioinformatics/16.8.685.

疟原虫数据库(PlasmoDB):疟原虫基因组资源。一个整合实验数据和计算数据的数据库。

PlasmoDB: the Plasmodium genome resource. A database integrating experimental and computational data.

作者信息

Bahl Amit, Brunk Brian, Crabtree Jonathan, Fraunholz Martin J, Gajria Bindu, Grant Gregory R, Ginsburg Hagai, Gupta Dinesh, Kissinger Jessica C, Labo Philip, Li Li, Mailman Matthew D, Milgram Arthur J, Pearson David S, Roos David S, Schug Jonathan, Stoeckert Christian J, Whetzel Patricia

机构信息

Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.

出版信息

Nucleic Acids Res. 2003 Jan 1;31(1):212-5. doi: 10.1093/nar/gkg081.

DOI:10.1093/nar/gkg081
PMID:12519984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC165528/
Abstract

PlasmoDB (http://PlasmoDB.org) is the official database of the Plasmodium falciparum genome sequencing consortium. This resource incorporates the recently completed P. falciparum genome sequence and annotation, as well as draft sequence and annotation emerging from other Plasmodium sequencing projects. PlasmoDB currently houses information from five parasite species and provides tools for intra- and inter-species comparisons. Sequence information is integrated with other genomic-scale data emerging from the Plasmodium research community, including gene expression analysis from EST, SAGE and microarray projects and proteomics studies. The relational schema used to build PlasmoDB, GUS (Genomics Unified Schema) employs a highly structured format to accommodate the diverse data types generated by sequence and expression projects. A variety of tools allow researchers to formulate complex, biologically-based, queries of the database. A stand-alone version of the database is also available on CD-ROM (P. falciparum GenePlot), facilitating access to the data in situations where internet access is difficult (e.g. by malaria researchers working in the field). The goal of PlasmoDB is to facilitate utilization of the vast quantities of genomic-scale data produced by the global malaria research community. The software used to develop PlasmoDB has been used to create a second Apicomplexan parasite genome database, ToxoDB (http://ToxoDB.org).

摘要

疟原虫数据库(http://PlasmoDB.org)是恶性疟原虫基因组测序联盟的官方数据库。该资源整合了最近完成的恶性疟原虫基因组序列及注释,以及其他疟原虫测序项目产生的草图序列和注释。疟原虫数据库目前收录了来自五种寄生虫物种的信息,并提供了种内和种间比较的工具。序列信息与疟原虫研究界产生的其他基因组规模的数据整合在一起,包括来自EST、SAGE和微阵列项目的基因表达分析以及蛋白质组学研究。用于构建疟原虫数据库的关系模式GUS(基因组统一模式)采用高度结构化的格式来容纳由序列和表达项目生成的各种数据类型。各种工具使研究人员能够对数据库进行基于生物学的复杂查询。该数据库的独立版本也可通过光盘获取(恶性疟原虫基因图谱),便于在难以访问互联网的情况下(例如在实地工作的疟疾研究人员)获取数据。疟原虫数据库的目标是促进全球疟疾研究界所产生的大量基因组规模数据的利用。用于开发疟原虫数据库的软件已被用于创建第二个顶复门寄生虫基因组数据库——弓形虫数据库(http://ToxoDB.org)。