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TparvaDB: a database to support Theileria parva vaccine development

TparvaDB: a database to support Theileria parva vaccine development

Visendi, Paul, Ng'ang'a, Wanjiku, Bulimo, Wallace, Bishop, Richard, Ochanda, James and de Villiers, Etienne P. (2011) TparvaDB: a database to support Theileria parva vaccine development. Database, 2011. bar015-bar015. ISSN 1758-0463 (Online) (doi:https://doi.org/10.1093/database/bar015)

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Abstract

We describe the development of TparvaDB, a comprehensive resource to facilitate research towards development of an East Coast fever vaccine, by providing an integrated user-friendly database of all genome and related data currently available for Theileria parva. TparvaDB is based on the Generic Model Organism Database (GMOD) platform. It contains a complete reference genome sequence, Expressed Sequence Tags (ESTs), Massively Parallel Signature Sequencing (MPSS) expression tag data and related information from both public and private repositories. The Artemis annotation workbench provides online annotation functionality. TparvaDB represents a resource that will underpin and promote ongoing East Coast fever vaccine development and biological research

Item Type: Article
Additional Information: © The Author(s) 2011. Published by Oxford University Press. This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: Thjileria Parva, database, vaccine development
Subjects: S Agriculture > S Agriculture (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Molecular Virology and Entomology Research Group
Last Modified: 03 Nov 2017 12:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17916

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