Identification modeling of microbial diversity in forest soil through 16S rRNA sequences

Identification modeling of microbial diversity in forest soil through 16S rRNA sequences

The objective of this dissertation is to build a suitable model based on unique motifs and patterns observed in the highly conserved 16S subunit of rRNA gene of bacteria found in forested areas. This model can be used to efficiently identify multiple classes of unknown bacteria sequences collectivel...

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Main Author: Gan, Shoo Hwee
Other Authors: Chia, Tet Fatt
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:http://hdl.handle.net/10356/2629
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2629
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spelling sg-ntu-dr.10356-26292023-03-04T00:35:43Z Identification modeling of microbial diversity in forest soil through 16S rRNA sequences Gan, Shoo Hwee Chia, Tet Fatt School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences The objective of this dissertation is to build a suitable model based on unique motifs and patterns observed in the highly conserved 16S subunit of rRNA gene of bacteria found in forested areas. This model can be used to efficiently identify multiple classes of unknown bacteria sequences collectively and position them in their appropriate taxonomic positions. Currently, there is no singular tool that can en masse identify different classes of bacteria based on 16S rRNA bacteria gene sequences from an unknown sample mixture, they can only be identified individually by checking against each individual bacteria class in a slow and tedious process. Master of Science (Bioinformatics) 2008-09-17T09:06:39Z 2008-09-17T09:06:39Z 2004 2004 Thesis http://hdl.handle.net/10356/2629 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Gan, Shoo Hwee
Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
description The objective of this dissertation is to build a suitable model based on unique motifs and patterns observed in the highly conserved 16S subunit of rRNA gene of bacteria found in forested areas. This model can be used to efficiently identify multiple classes of unknown bacteria sequences collectively and position them in their appropriate taxonomic positions. Currently, there is no singular tool that can en masse identify different classes of bacteria based on 16S rRNA bacteria gene sequences from an unknown sample mixture, they can only be identified individually by checking against each individual bacteria class in a slow and tedious process.
author2 Chia, Tet Fatt
author_facet Chia, Tet Fatt
Gan, Shoo Hwee
format Theses and Dissertations
author Gan, Shoo Hwee
author_sort Gan, Shoo Hwee
title Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
title_short Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
title_full Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
title_fullStr Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
title_full_unstemmed Identification modeling of microbial diversity in forest soil through 16S rRNA sequences
title_sort identification modeling of microbial diversity in forest soil through 16s rrna sequences
publishDate 2008
url http://hdl.handle.net/10356/2629
_version_ 1759856721008787456

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