AmoebaDB and MicrosporidiaDB: functional genomic resources for Amoebozoa and Microsporidia species

被引:86
作者
Aurrecoechea, Cristina [2 ]
Barreto, Ana [1 ,3 ]
Brestelli, John [1 ,3 ]
Brunk, Brian P. [1 ,4 ]
Caler, Elisabet V. [5 ]
Fischer, Steve [1 ,3 ]
Gajria, Bindu [1 ,4 ]
Gao, Xin [1 ,4 ]
Gingle, Alan [6 ]
Grant, Greg [1 ,3 ]
Harb, Omar S. [1 ,4 ]
Heiges, Mark [2 ]
Iodice, John [1 ,3 ]
Kissinger, Jessica C. [2 ,7 ,8 ]
Kraemer, Eileen T. [9 ]
Li, Wei [1 ,4 ]
Nayak, Vishal [1 ,3 ]
Pennington, Cary [2 ]
Pinney, Deborah F. [1 ,3 ]
Pitts, Brian [2 ]
Roos, David S. [4 ]
Srinivasamoorthy, Ganesh [2 ]
Stoeckert, Christian J., Jr. [1 ,3 ]
Treatman, Charles [1 ,4 ]
Wang, Haiming [2 ]
机构
[1] Univ Penn, Penn Ctr Bioinformat, Philadelphia, PA 19104 USA
[2] Univ Georgia, Ctr Trop & Emerging Global Dis, Athens, GA 30602 USA
[3] Univ Penn, Sch Med, Dept Genet, Philadelphia, PA 19104 USA
[4] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA
[5] J Craig Venter Inst, Rockville, MD 20850 USA
[6] Univ Georgia, Ctr Appl Genet Technol, Athens, GA 30602 USA
[7] Univ Georgia, Dept Genet, Athens, GA 30602 USA
[8] Univ Georgia, Inst Bioinformat, Athens, GA 30602 USA
[9] Univ Georgia, Dept Comp Sci, Athens, GA 30602 USA
基金
美国国家卫生研究院;
关键词
ENTAMOEBA-HISTOLYTICA;
D O I
10.1093/nar/gkq1006
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
AmoebaDB (http://AmoebaDB.org) and MicrosporidiaDB (http://MicrosporidiaDB.org) are new functional genomic databases serving the amoebozoa and microsporidia research communities, respectively. AmoebaDB contains the genomes of three Entamoeba species (E. dispar, E. invadens and E. histolityca) and microarray expression data for E. histolytica. MicrosporidiaDB contains the genomes of Encephalitozoon cuniculi, E. intestinalis and E. bieneusi. The databases belong to the National Institute of Allergy and Infectious Diseases (NIAID) funded EuPathDB (http://EuPathDB.org) Bioinformatics Resource Center family of integrated databases and assume the same architectural and graphical design as other EuPathDB resources such as PlasmoDB and TriTrypDB. Importantly they utilize the graphical strategy builder that affords a database user the ability to ask complex multi-data-type questions with relative ease and versatility. Genomic scale data can be queried based on BLAST searches, annotation keywords and gene ID searches, GO terms, sequence motifs, protein characteristics, phylogenetic relationships and functional data such as transcript (microarray and EST evidence) and protein expression data. Search strategies can be saved within a user's profile for future retrieval and may also be shared with other researchers using a unique strategy web address.
引用
收藏
页码:D612 / D619
页数:8
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