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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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/2629 |
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| Institution: | Nanyang Technological University |
| Summary: | 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. |
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