Metagenome@Kin
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Application data |
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| Biological application domain(s) | Metagenomics |
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| Principal bioinformatics method(s) | Species frequency estimation, Statistical analysis |
| Created at | World Fusion Co., LTD. |
| Maintained? | Yes |
| Software version | 2.2 |
| Contact: | ginnie@w-fusion.co.jp |
Summary: Metagenome@Kin is an automated high throughput sequencing data analysis tool for the 16S/28S/ITS rRNA genes. It measures the composition and diversity of microbial and fungal species in natural environments. 200px|right
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Description
Automated Metagenomic Analysis Tool Metagenome@Kin is a high throughput sequencing data analysis tool for 16S/28S/ITS rRNA genes. It measures the composition and diversity of microbial and fungal species in natural environments including water, soil, microbiota, yogurt & probiotics, and beer. Reads taken from the next generation sequencer will be automatically annotated with taxon ID by BLAST or RDP Classifier, and grouped by taxonomic rank. Automatic clustering tools for metagenome research (PCA, HCL, SOM) are also included with the software.
EASY to USE: Simply drag-and-drop the data into the analysis window, and through the user friendly GUI, Metagenome@Kin filters, sorts, and organizes the data by taxonomy ID, reading counts, and groups by taxonomic rank. Several statistical analyses will also be performed automatically. The command operation is unnecessary, so everyone can get the results easily.
REPORT: Export analysis results as an HTML report using FireFox
MAIN FUNCTIONS AND FEATURES Metagenomic analysis of bacteria from species classification of taxonomic rank Fungal metagenomics analysis can be performed from RDP Classifier results with ITS 1/2 array seq data from species, and 16S from genus Automatically create taxonomy tables from BLAST or RDP Classifier results User defined BLAST filter settings Confidence Value filtering ability for the Classifier results Taxonomic classification of bacteria follows the NCBI taxonomy rule Automated sun-burst graphs, pie charts, bar graphs & spreadsheets Summarize microbial diversity with pie charts and bar graphs for each rank All analyses can be performed through the user friendly GUI interface Includes clustering analysis tools- SOM, PCA and hierarchical clustering 16S rRNA databases (4) are provided for selection in a drop-down menu Local BLAST and RDP Classifier tools are available upon request
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