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Database Commons

a catalog of worldwide biological databases

Database Profile

Full-parasites

General information

URL: http://fullmal.hgc.jp/
Full name: Full-parasites
Description: Full-Parasites is a transcriptome database of apicomplexa parasites,which include Plasmodium and Toxoplasma species.
Year founded: 2009
Last update: 9/15/2014
Version: v1.0
Accessibility:
Accessible
Country/Region: Indonesia

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Sam Ratulangi University
Address: Faculty of Medicine,Sam Ratulangi University,Kampus Unsrat,Bahu Manado,95115,Indonesia
City: Bahu Manado
Province/State:
Country/Region: Indonesia
Contact name (PI/Team): Yutaka Suzuki
Contact email (PI/Helpdesk): ysuzuki@hgc.jp

Publications

25414358
DB-AT: a 2015 update to the Full-parasites database brings a multitude of new transcriptomic data for apicomplexan parasites. [PMID: 25414358]
Jąkalski M, Wakaguri H, Kischka TG, Nishikawa Y, Kawazu S, Matsubayashi M, Kawahara F, Tsuji N, Cao S, Sunaga F, Xuan X, Okubo K, Igarashi I, Tuda J, Mongan AE, Eshita Y, Maeda R, Makałowski W, Suzuki Y, Yamagishi J.

The previous release of our Full-parasites database (http://fullmal.hgc.jp/) brought enhanced functionality, an expanded full-length cDNA content, and new RNA-Seq datasets from several important apicomplexan parasites. The 2015 update witnesses the major shift in the databases content with focus on diverse transcriptomes of the apicomplexan parasites. The content of the database was substantially enriched with transcriptome information for new apicomplexan parasites. The latest version covers a total of 17 species, with addition of our newly generated RNA-Seq data of a total of 909,150,388 tags. Moreover, we have generated and included two novel and unique datasets, which represent diverse nature of transcriptomes in individual parasites in vivo and in vitro. One is the data collected from 116 Indonesian patients infected with Plasmodium falciparum. The other is a series of transcriptome data collected from a total of 38 single cells of P. falciparum cultured in vitro. We believe that with the recent advances our database becomes an even better resource and a unique platform in the analysis of apicomplexan parasites and their interaction with their hosts. To adequately reflect the recent modifications and the current content we have changed the database name to DB-AT--DataBase of Apicomplexa Transcriptomes. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2015:43(Database issue) | 4 Citations (from Europe PMC, 2025-12-20)
21051343
Full-parasites: database of full-length cDNAs of apicomplexa parasites, 2010 update. [PMID: 21051343]
Tuda J, Mongan AE, Tolba ME, Imada M, Yamagishi J, Xuan X, Wakaguri H, Sugano S, Sugimoto C, Suzuki Y.

Full-Parasites (http://fullmal.hgc.jp/) is a transcriptome database of apicomplexa parasites, which include Plasmodium and Toxoplasma species. The latest version of Full-Parasites contains a total of 105,786 EST sequences from 12 parasites, of which 5925 full-length cDNAs have been completely sequenced. Full-Parasites also contain more than 30 million transcription start sites (TSS) for Plasmodium falciparum (Pf) and Toxoplasma gondii (Tg), which were identified using our novel oligo-capping-based protocol. Various types of cDNA data resources were interconnected with our original database functionalities. Specifically, in this update, we have included two unique RNA-Seq data sets consisting of 730 million mapped RNA-Seq tags. One is a dataset of 16 time-lapse experiments of cultured bradyzoite differentiation for Tg. The other dataset includes 31 clinical samples of Pf. Parasite RNA was extracted together with host human RNA, and the extracted mixed RNA was used for RNA sequencing, with the expectation that gene expression information from the host and parasite would be simultaneously represented. By providing the largest unique full-length cDNA and dynamic transcriptome data, Full-Parasites is useful for understanding host-parasite interactions and will help to eventually elucidate how monophyletic organisms have evolved to become parasites by adopting complex life cycles.

Nucleic Acids Res. 2011:39(Database issue) | 13 Citations (from Europe PMC, 2025-12-20)
18987005
Full-Malaria/Parasites and Full-Arthropods: databases of full-length cDNAs of parasites and arthropods, update 2009. [PMID: 18987005]
Wakaguri H, Suzuki Y, Katayama T, Kawashima S, Kibukawa E, Hiranuka K, Sasaki M, Sugano S, Watanabe J.

Full-Malaria/Parasites is a database for transcriptome studies of apicomplexa and other parasites, which is based on our original full-length cDNA sequences and physical cDNA clone resources. In this update, the database has been expanded to contain the shogun sequencing for the entire sequences of 14,818 non-redundant full-length cDNA clones from six apicomplexa parasites and 6.8 million of transcription start sites (TSS), both of which had been produced by novel protocols using the oligo-capping method and the Illumina GA sequencer. The former should be the ultimate data for exact annotation of the expressed genes, while the latter should be useful for ultra-deep expression analysis. Furthermore, we have launched Full-Arthropods, a full-length cDNA database for arthropods of medical importance. Full-Arthropods contains 50 343 one-pass sequences, 10 399 shotgun complete sequences and 22.4 million TSS tags in anopheles mosquitoes that transmit malaria, tsetse flies that transmit trypanosomiasis and dust mites that cause allergic dermatitis and bronchial asthma. By providing the largest integrated full-length cDNA data resources in the apicomplexa parasites as well as their vectors, Full-Malaria/Parasites and Full-Arthropods should help combat parasitic diseases. Full-Malaria/Parasites and Full-Arthropods are accessible from http://fullmal.hgc.jp/.

Nucleic Acids Res. 2009:37(Database issue) | 14 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
4210/6895 (38.956%)
Expression:
872/1347 (35.338%)
4210
Total Rank
31
Citations
1.938
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lin Liu [2021-11-12]
Dong Zou [2018-02-07]
Lina Ma [2016-04-08]
Jian Sang [2016-04-03]
Jian Sang [2015-06-27]