gut microbiome data Search Results


barcoded transnetyx microbiome collection tubes 420  (Transnetyx)
97
Transnetyx barcoded transnetyx microbiome collection tubes 420
Barcoded Transnetyx Microbiome Collection Tubes 420, supplied by Transnetyx, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gut+microbiome+data/Microbiome/pm41905514-203-0-1
Average 97 stars, based on 1 article reviews
barcoded transnetyx microbiome collection tubes 420 - by Bioz Stars, 2026-08
97/100 stars
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gut and oral microbiome data  (23andMe)
90
23andMe gut and oral microbiome data
Interface for downloading <t>microbiome</t> data in Fox DEN.
Gut And Oral Microbiome Data, supplied by 23andMe, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gut+microbiome+data/gut+and+oral+microbiome+data/pmc11169221-162-6-3
Average 90 stars, based on 1 article reviews
gut and oral microbiome data - by Bioz Stars, 2026-08
90/100 stars
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gut microbiome data processing  (KU Leuven)
90
KU Leuven gut microbiome data processing
Interface for downloading <t>microbiome</t> data in Fox DEN.
Gut Microbiome Data Processing, supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gut+microbiome+data/gut+microbiome+data+processing/pm35215453-320-32-41
Average 90 stars, based on 1 article reviews
gut microbiome data processing - by Bioz Stars, 2026-08
90/100 stars
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gut microbiome data from 16s rrna sequencing  (Metagenom Bio Inc)
90
Metagenom Bio Inc gut microbiome data from 16s rrna sequencing
Interface for downloading <t>microbiome</t> data in Fox DEN.
Gut Microbiome Data From 16s Rrna Sequencing, supplied by Metagenom Bio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gut+microbiome+data/gut+microbiome+data+from+16s+rrna+sequencing/pm37658345-140-33-65
Average 90 stars, based on 1 article reviews
gut microbiome data from 16s rrna sequencing - by Bioz Stars, 2026-08
90/100 stars
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gut microbiome data  (Biotechnology Information)
86
Biotechnology Information gut microbiome data
Schematic diagram of overall experimental analysis. We collected a dataset containing 1,462 samples with 320 genus-level features, and we used a ConQuR method for data preprocessing. We then conducted the microbial diversity analysis to investigate the diversity of gut <t>microbiome</t> in CRC patients and healthy individuals. In the α -diversity analysis, we employed the Shannon index, Simpson index and inverse Simpson index to assess species within the community, identifying species evenness and species richness. We also utilized the Bray–Curtis dissimilarity for β -diversity analysis between different communities, exploring the differences in species diversity and species richness. Meanwhile, we applied the microbiome-based association test analysis, including aMiAD method, PERMANOVA analysis, ANOSIM analysis and MiRKAT method, to test the association between the gut microbiome and CRC. In addition, we performed the microbial differential abundance analysis using LEfSe analysis to identify biomarkers associated with CRC.
Gut Microbiome Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gut+microbiome+data/data+gut+microbiome/pmc12309989-58-13-21
Average 86 stars, based on 1 article reviews
gut microbiome data - by Bioz Stars, 2026-08
86/100 stars
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Image Search Results


Interface for downloading microbiome data in Fox DEN.

Journal: Scientific Data

Article Title: Fox Insight at 5 years - a cohort of 54,000 participants contributing longitudinal patient-reported outcome, genetic, and microbiome data relating to Parkinson’s disease

doi: 10.1038/s41597-024-03407-9

Figure Lengend Snippet: Interface for downloading microbiome data in Fox DEN.

Article Snippet: In partnership with 23andMe, gut and oral microbiome data was collected from approximately 650 participants, both those with PD (approximately 65%) and those without PD (approximately 35%) as part of the Parkinson’s Disease Microbiome (PDMB) Sub-Study.

Techniques:

Schematic diagram of overall experimental analysis. We collected a dataset containing 1,462 samples with 320 genus-level features, and we used a ConQuR method for data preprocessing. We then conducted the microbial diversity analysis to investigate the diversity of gut microbiome in CRC patients and healthy individuals. In the α -diversity analysis, we employed the Shannon index, Simpson index and inverse Simpson index to assess species within the community, identifying species evenness and species richness. We also utilized the Bray–Curtis dissimilarity for β -diversity analysis between different communities, exploring the differences in species diversity and species richness. Meanwhile, we applied the microbiome-based association test analysis, including aMiAD method, PERMANOVA analysis, ANOSIM analysis and MiRKAT method, to test the association between the gut microbiome and CRC. In addition, we performed the microbial differential abundance analysis using LEfSe analysis to identify biomarkers associated with CRC.

Journal: Journal of Medical Microbiology

Article Title: Meta-analysis of gut microbiome reveals patterns of dysbiosis in colorectal cancer patients

doi: 10.1099/jmm.0.002042

Figure Lengend Snippet: Schematic diagram of overall experimental analysis. We collected a dataset containing 1,462 samples with 320 genus-level features, and we used a ConQuR method for data preprocessing. We then conducted the microbial diversity analysis to investigate the diversity of gut microbiome in CRC patients and healthy individuals. In the α -diversity analysis, we employed the Shannon index, Simpson index and inverse Simpson index to assess species within the community, identifying species evenness and species richness. We also utilized the Bray–Curtis dissimilarity for β -diversity analysis between different communities, exploring the differences in species diversity and species richness. Meanwhile, we applied the microbiome-based association test analysis, including aMiAD method, PERMANOVA analysis, ANOSIM analysis and MiRKAT method, to test the association between the gut microbiome and CRC. In addition, we performed the microbial differential abundance analysis using LEfSe analysis to identify biomarkers associated with CRC.

Article Snippet: We used the dataset based on a previous study [ ], which collected gut microbiome data from the National Center for Biotechnology Information (NCBI) for a wide range of disease populations.

Techniques:

Composition of gut microbial communities and batch effect processing of microbiome data. ( a ) The top ten genus-level features with the highest relative abundance. Principal component analysis plots for the raw data ( b ) and corrected data ( c–h ) using batches 1–6 as reference batches, respectively.

Journal: Journal of Medical Microbiology

Article Title: Meta-analysis of gut microbiome reveals patterns of dysbiosis in colorectal cancer patients

doi: 10.1099/jmm.0.002042

Figure Lengend Snippet: Composition of gut microbial communities and batch effect processing of microbiome data. ( a ) The top ten genus-level features with the highest relative abundance. Principal component analysis plots for the raw data ( b ) and corrected data ( c–h ) using batches 1–6 as reference batches, respectively.

Article Snippet: We used the dataset based on a previous study [ ], which collected gut microbiome data from the National Center for Biotechnology Information (NCBI) for a wide range of disease populations.

Techniques:

The diversity of the gut microbiome in CRC patients and healthy individuals, including the Shannon, Simpson and inverse Simpson indices. ( a ) Raw data analysis. ( b ) Corrected data with ConQuR. ( c ) Corrected data analysis with MMUPHin.

Journal: Journal of Medical Microbiology

Article Title: Meta-analysis of gut microbiome reveals patterns of dysbiosis in colorectal cancer patients

doi: 10.1099/jmm.0.002042

Figure Lengend Snippet: The diversity of the gut microbiome in CRC patients and healthy individuals, including the Shannon, Simpson and inverse Simpson indices. ( a ) Raw data analysis. ( b ) Corrected data with ConQuR. ( c ) Corrected data analysis with MMUPHin.

Article Snippet: We used the dataset based on a previous study [ ], which collected gut microbiome data from the National Center for Biotechnology Information (NCBI) for a wide range of disease populations.

Techniques:

LDA value distribution histogram of the differential microbial community.

Journal: Journal of Medical Microbiology

Article Title: Meta-analysis of gut microbiome reveals patterns of dysbiosis in colorectal cancer patients

doi: 10.1099/jmm.0.002042

Figure Lengend Snippet: LDA value distribution histogram of the differential microbial community.

Article Snippet: We used the dataset based on a previous study [ ], which collected gut microbiome data from the National Center for Biotechnology Information (NCBI) for a wide range of disease populations.

Techniques: