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Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes

Thesis (PhD)--University of Pretoria, 2016.

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Other Authors: Reva, Oleg N.
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Reva, Oleg N.
author_browse Reva, Oleg N.
author_facet Reva, Oleg N.
collection Thesis
dc_rights_str_mv © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2016.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:08.659Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/57284 Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes Reva, Oleg N. repierneef@live.com Pierneef, Rian Ewald UCTD Thesis (PhD)--University of Pretoria, 2016. The non-genealogical transfer of genetic information between prokaryotes is a frequent and omnipresent event. The acquisition of foreign genomic segments may aid organisms in adaptation to novel or extreme habitats with these rapid evolution events phenotypically bene cial to the recipient. These regions of atypical and foreign origin are vernacularly termed islands and are identi ed by their unique local genomic signature or composition which di ers from the global host genomic signature. The SeqWord Genomic Island Sni er program utilizes tetranucleotide frequency patterns and statistics to identify regions of probable horizontal transfer. Optimum parameter values were determined for this compositional-based island identi er to ensure acceptable levels of false negative and false positive occurrence. Post-identi cation island analysis is demonstrated with the aid of the LingvoCom package available from the SeqWord project. This island identi er was furthermore compared with other existing transfer detection packages to indicate relevance and reliability. The continued identi cation of islands in prokaryotic genomes requires a novel and functional repository with the ability to expand as newly sequenced archaeal/bacterial genomes are available. The amalgamation of a robust database, convenient interface and island analysis tools presents a novel avenue in prokaryotic island research. The Predicted Genomic Islands database currently houses 26,744 islands identi ed in 2,407 archaeal/bacterial genomes and is freely available from http://pregi.bi.up.ac.za/. The database serves as an island information hub and collection of analytical tools allowing users the ability to address a myriad of horizontal transfer and island ontology research questions. Inclusion of various novel island information criteria and analytical tools may distinguish this platform from extant island databases and tools. Novel island comparison against the current content enables a rapid yet reliable tool set in the age of brisk and economically e cient genome sequencing. The collection of all island information in a single set allows for various avenues of research and stratigraphy of islands by allowing for the deconstruction and inspection of layers in archaeal/ bacterial island communities and exchange between island hosts. The capability of this island garage was previewed with novel island identi cation results and research directions in an attempt to convey the future potential. This collection of island information and tools may prove a reliable and innovative approach in variable elds of horizontal transfer and island research with numerous applications and associations. tm2016 Biochemistry PhD Unrestricted 2016-10-14T07:33:04Z 2016-10-14T07:33:04Z 2016-09-01 2016 Thesis Pierneef, E 2016, Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/57284> S2016 http://hdl.handle.net/2263/57284 en © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title_full Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title_fullStr Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title_full_unstemmed Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title_short Pre_GI : a dynamic Catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
title_sort pre gi a dynamic catalogue and set of computational tools for the ontology and stratigraphy of horizontally transferred genomic islands in bacterial genomes
topic UCTD
url http://hdl.handle.net/2263/57284