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  6. Contracted data analysis for microbiome analysis: "Amplicon sequence data analysis"

Contracted data analysis for microbiome analysis: "Amplicon sequence data analysis"

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last updated:Nov 06, 2024

テクノスルガ・ラボ
テクノスルガ・ラボ
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Estimation of microbiota from fastq files / α and β diversity analysis for publication, statistical analysis, heatmap cluster analysis, etc. / Contracted data analysis for microbiota analysis.

**Overview** For analysis methods, you can choose from two types of analysis software (Metagenome@KIN and QIIME2). 〇 Analysis using Metagenome@KIN - The 16S rDNA of bacteria and archaea is analyzed using two types of databases: RDP (Ribosomal Database Project) and a microbial identification database. - The microbial identification database allows you to change the BLAST cut-off criteria from a homology rate of 97% to a specified value. - For three or more samples, cluster analysis and principal component analysis will be conducted. 〇 Analysis using QIIME2 - The Amplicon Sequence Variant (ASV) method allows for the identification of closely related species with high homology rates. - Secondary analyses required for academic papers (such as diversity analysis and statistical analysis functions) are well-equipped. **Acceptable Data** Sequence data from next-generation sequencers (fastq files) can be analyzed. Sequence data obtained from various samples such as gut microbiota, skin microbiota, oral microbiota, soil, and activated sludge can be analyzed. Additionally, data analysis using the statistical analysis software R and predictive metagenomic analysis using PICRUSt2 are also accepted.

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Contracted data analysis for microbiome analysis: "Amplicon sequence data analysis"

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【Specifications】 〇Analysis using Metagenome@KIN - Analysis databases: RDP (bacteria, fungi), Technosulga Lab "Microbial Identification Database" (bacteria only) - Taxonomic ranks that can be estimated: RDP: domain to genus, Microbial Identification Database: domain to species - Analysis software: Metagenome@KIN 〇Analysis using QIIME2 - Analysis databases: Bacteria and Archaea: Greengenes database, Fungi: UNITE - Taxonomic ranks that can be estimated: domain to species - Analysis software: QIIME2 【Report Content】 〇Analysis using Metagenome@KIN - Donut charts, inter-sample comparison graphs, cluster analysis, principal component analysis 〇Analysis using QIIME2 Primary analysis - Microbiome analysis (bar chart) Secondary analysis - α diversity analysis and statistical analysis, β diversity analysis and statistical analysis, 2D principal coordinate plot drawing, heatmap and cluster analysis Heatmap clustering from phylum to species level will be performed using the Ward method. (Format: qzv file)

Price information

(Prices exclude tax) 〇Metagenome@KIN ・RDP: 30,000 yen per set. ・Microbial identification database: 30,000 yen per set. ・RDP + microbial identification database: 50,000 yen per set. 〇QIIME2 ・Primary analysis: 30,000 yen per set. ・Secondary analysis: 30,000 yen per set. ・From primary analysis to secondary analysis: 60,000 yen per set.

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P2

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※The delivery date may vary depending on the quantity, so please feel free to contact us.

Applications/Examples of results

- Analysis of intestinal microbiota - Analysis of fungal microbiota - Comparison of intestinal microbiota between groups before and after the intake of functional foods - Comparison of intestinal microbiota between groups in specific diseases - Analysis of microbial communities in soil

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Skin microbiome sampling kit and microbiome analysis contract service 'Skin Microbiome Analysis'

Skin microbiome sampling kit and microbiome analysis contract service 'Skin Microbiome Analysis'

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テクノスルガ・ラボ

テクノスルガ・ラボ

Testing, Analysis and Measurement

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We offer contract analysis services related to microorganisms. We support our customers' testing, analysis, and research with a wide range of services, including microbial identification, microbial community structure analysis, and intestinal environment analysis. We meet diverse needs in academic research, product research and development, and hygiene management.

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