scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1026297002 |
P356 | DOI | 10.1186/2049-2618-2-19 |
P932 | PMC publication ID | 4063427 |
P698 | PubMed publication ID | 24949196 |
P5875 | ResearchGate publication ID | 263294669 |
P50 | author | Thomas Sicheritz-Ponten | Q28741758 |
Karsten Kristiansen | Q30427222 | ||
Ramneek Gupta | Q42864434 | ||
Martin Iain Bahl | Q54324822 | ||
Tine Rask Licht | Q54324830 | ||
P2093 | author name string | Agata Wesolowska-Andersen | |
Vera Carvalho | |||
P2860 | cites work | BLAST+: architecture and applications | Q21284368 |
Toward Automatic Reconstruction of a Highly Resolved Tree of Life | Q22065877 | ||
Enterotypes of the human gut microbiome | Q24489818 | ||
A human gut microbial gene catalogue established by metagenomic sequencing | Q24618931 | ||
eggNOG v3.0: orthologous groups covering 1133 organisms at 41 different taxonomic ranges | Q24619608 | ||
The NIH Human Microbiome Project | Q24642619 | ||
An obesity-associated gut microbiome with increased capacity for energy harvest | Q27860515 | ||
Microbial ecology: human gut microbes associated with obesity | Q27861004 | ||
A microbial world within us | Q28303261 | ||
Comparing de novo genome assembly: the long and short of it | Q28740595 | ||
Fast and accurate long-read alignment with Burrows-Wheeler transform | Q29547193 | ||
The human microbiome project | Q29547661 | ||
CD-HIT: accelerated for clustering the next-generation sequencing data | Q29616664 | ||
Richness of human gut microbiome correlates with metabolic markers | Q29617365 | ||
''R"--project for statistical computing | Q29618640 | ||
Direct comparisons of Illumina vs. Roche 454 sequencing technologies on the same microbial community DNA sample | Q31048918 | ||
Effect of storage conditions on the assessment of bacterial community structure in soil and human-associated samples | Q33562124 | ||
Mucosa-associated bacteria in the human gastrointestinal tract are uniformly distributed along the colon and differ from the community recovered from feces | Q34101794 | ||
Performance comparison of benchtop high-throughput sequencing platforms | Q34241334 | ||
Molecular microbial diversity of an anaerobic digestor as determined by small-subunit rDNA sequence analysis | Q34431545 | ||
MOCAT: a metagenomics assembly and gene prediction toolkit | Q34452175 | ||
Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities | Q34990348 | ||
RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics | Q36088542 | ||
Biases during DNA extraction of activated sludge samples revealed by high throughput sequencing | Q36824310 | ||
Commercial DNA extraction kits impact observed microbial community composition in permafrost samples | Q44538301 | ||
Targeted and shotgun metagenomic approaches provide different descriptions of dryland soil microbial communities in a manipulated field study. | Q51567225 | ||
Freezing fecal samples prior to DNA extraction affects the Firmicutes to Bacteroidetes ratio determined by downstream quantitative PCR analysis. | Q54324739 | ||
Freezing at -800 degrees C distorts the DNA composition of bacterial communities in intestinal samples | Q82999943 | ||
P4510 | describes a project that uses | ggplot2 | Q326489 |
P921 | main subject | metagenomics | Q903778 |
feces | Q496 | ||
P304 | page(s) | 19 | |
P577 | publication date | 2014-06-05 | |
P1433 | published in | Microbiome | Q27725102 |
P1476 | title | Choice of bacterial DNA extraction method from fecal material influences community structure as evaluated by metagenomic analysis | |
P478 | volume | 2 |
Q38645218 | A clinician's guide to microbiome analysis. |
Q33743470 | A diet change from dry food to beef induces reversible changes on the faecal microbiota in healthy, adult client-owned dogs |
Q36028377 | Age-related changes in gut microbiota composition from newborn to centenarian: a cross-sectional study |
Q41987603 | Amplicon sequencing of bacterial microbiota in abortion material from cattle |
Q36204381 | An Improved Methodology to Overcome Key Issues in Human Fecal Metagenomic DNA Extraction. |
Q26795701 | Analyses of Intestinal Microbiota: Culture versus Sequencing |
Q35592443 | Analysis of swine fecal microbiota at various growth stages. |
Q26851464 | Application of metagenomics in the human gut microbiome |
Q99712615 | Assessing the comparability of different DNA extraction and amplification methods in gut microbial community profiling |
Q99711486 | Assessment of Inter-Laboratory Variation in the Characterization and Analysis of the Mucosal Microbiota in Crohn's Disease and Ulcerative Colitis |
Q97541763 | Assessment of fecal DNA extraction protocols for metagenomic studies |
Q41007942 | Assessment of gut microbiota populations in lean and obese Zucker rats. |
Q46297294 | Assessment of variation in microbial community amplicon sequencing by the Microbiome Quality Control (MBQC) project consortium. |
Q35317726 | Average genome size estimation improves comparative metagenomics and sheds light on the functional ecology of the human microbiome |
Q36968301 | Characterization of the gut microbiome in epidemiologic studies: the multiethnic cohort experience |
Q46496889 | Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut. |
Q58802527 | Combined bacterial and fungal intestinal microbiota analyses: Impact of storage conditions and DNA extraction protocols |
Q35850269 | Comparative Evaluation of DNA Extraction Methods from Feces of Multiple Host Species for Downstream Next-Generation Sequencing |
Q38801047 | Comparative analysis of DNA extraction methods to study the body surface microbiota of insects: A case study with ant cuticular bacteria. |
Q58714904 | Comparative evaluation of a new magnetic bead-based DNA extraction method from fecal samples for downstream next-generation 16S rRNA gene sequencing |
Q60935843 | Comparing Two Common DNA Extraction Kits for the Characterization of Symbiotic Microbial Communities from Ascidian Tissue |
Q52668342 | Comparison of Meconium DNA Extraction Methods for Use in Microbiome Studies. |
Q89606033 | Comparison of five assays for DNA extraction from bacterial cells in human faecal samples |
Q37014939 | Comparison of six commercial kits to extract bacterial chromosome and plasmid DNA for MiSeq sequencing |
Q37402495 | Composition of gut microbiota in infants in China and global comparison |
Q26739715 | Considerations For Optimizing Microbiome Analysis Using a Marker Gene |
Q90682233 | Controls let genomics experimenters drive with a dashboard |
Q93088868 | DNA extraction and amplicon production strategies deeply inf luence the outcome of gut mycobiome studies |
Q36887102 | Effect of room temperature transport vials on DNA quality and phylogenetic composition of faecal microbiota of elderly adults and infants. |
Q35839376 | Evaluating DNA Extraction Methods for Community Profiling of Pig Hindgut Microbial Community |
Q28554228 | Evaluation of Lysis Methods for the Extraction of Bacterial DNA for Analysis of the Vaginal Microbiota |
Q36252852 | Evaluation of Methods for the Concentration and Extraction of Viruses from Sewage in the Context of Metagenomic Sequencing |
Q92578111 | Fecal microbiome and metabolome of infants fed bovine MFGM supplemented formula or standard formula with breast-fed infants as reference: a randomized controlled trial |
Q35766366 | Fecal microbiota analysis: an overview of sample collection methods and sequencing strategies |
Q112719849 | Fecal sample collection methods and time of day impact microbiome composition and short chain fatty acid concentrations |
Q58599678 | Fecal source identification using random forest |
Q92219510 | Fungal-Bacterial Interactions in Health and Disease |
Q47107402 | Gene-Based Pathogen Detection: Can We Use qPCR to Predict the Outcome of Diagnostic Metagenomics? |
Q64930852 | Getting to Know the Gut Microbial Diversity of Metropolitan Buenos Aires Inhabitants. |
Q36911029 | Glycans affect DNA extraction and induce substantial differences in gut metagenomic studies |
Q58607978 | Gut Microbial and Metabolic Responses to Salmonella enterica Serovar Typhimurium and Candida albicans |
Q37671725 | Gut Microbiota Analysis Results Are Highly Dependent on the 16S rRNA Gene Target Region, Whereas the Impact of DNA Extraction Is Minor. |
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Q50100441 | Impact of DNA extraction, sample dilution, and reagent contamination on 16S rRNA gene sequencing of human feces. |
Q37351918 | Impact of Different Fecal Processing Methods on Assessments of Bacterial Diversity in the Human Intestine |
Q28596947 | Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition |
Q55054535 | Impact of sequencing depth on the characterization of the microbiome and resistome. |
Q47715988 | In-depth resistome analysis by targeted metagenomics. |
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Q26800132 | Marine metagenomics as a source for bioprospecting |
Q32183798 | Metagenomic Approaches to Assess Bacteriophages in Various Environmental Niches |
Q48239720 | Metatranscriptome of human faecal microbial communities in a cohort of adult men. |
Q46348020 | Microbiota Analysis Using an Illumina MiSeq Platform to Sequence 16S rRNA Genes. |
Q64903903 | Modifications and optimization of manual methods for polymerase chain reaction and 16S rRNA gene sequencing quality community DNA extraction from goat rumen digesta. |
Q28394129 | Optimizing protocols for extraction of bacteriophages prior to metagenomic analyses of phage communities in the human gut |
Q38963437 | Performance evaluation of multiplex PCR including Aspergillus-not so simple! |
Q49352520 | Preliminary Comparison of Oral and Intestinal Human Microbiota in Patients with Colorectal Cancer: A Pilot Study |
Q57142155 | Progress of analytical tools and techniques for human gut microbiome research |
Q35209174 | RNA preservation agents and nucleic acid extraction method bias perceived bacterial community composition |
Q90290780 | Reliability of stool microbiome methods for DNA yields and sequencing among infants and young children |
Q92555133 | Reproducibility: the search for microbiome standards |
Q41094367 | Short-chain fatty acids and inulin, but not guar gum, prevent diet-induced obesity and insulin resistance through differential mechanisms in mice |
Q40045674 | Shotgun metagenomics, from sampling to analysis |
Q40425514 | Source tracking using microbial community fingerprints: Method comparison with hydrodynamic modelling. |
Q36012776 | Studying the Human Microbiota |
Q47210600 | Surveillance of Foodborne Pathogens: Towards Diagnostic Metagenomics of Fecal Samples. |
Q91801572 | Systematic processing of ribosomal RNA gene amplicon sequencing data |
Q26766414 | The Challenge and Potential of Metagenomics in the Clinic |
Q36922290 | The Fecal Microbiome in Pediatric Patients With Short Bowel Syndrome |
Q28072111 | The Hoops, Hopes, and Hypes of Human Microbiome Research |
Q60924000 | The Human Microbiota and Obesity: A Literature Systematic Review of In Vivo Models and Technical Approaches |
Q64105189 | The Impact of DNA Extraction Methods on Stool Bacterial and Fungal Microbiota Community Recovery |
Q36285260 | The choice of the DNA extraction method may influence the outcome of the soil microbial community structure analysis |
Q53694219 | The human gut microbiota: metabolism and perspective in obesity. |
Q36505338 | The impact of freeze-drying infant fecal samples on measures of their bacterial community profiles and milk-derived oligosaccharide content |
Q91870918 | The impact of storage conditions on human stool 16S rRNA microbiome composition and diversity |
Q58762649 | The implementation of omics technologies in cancer microbiome research |
Q50088075 | The madness of microbiome: Attempting to find consensus "best practice" for 16S microbiome studies. |
Q30224335 | The multi-omics promise in context: from sequence to microbial isolate |
Q38406694 | The pig gut microbial diversity: Understanding the pig gut microbial ecology through the next generation high throughput sequencing |
Q28066755 | Tiny microbes, enormous impacts: what matters in gut microbiome studies? |
Q46297290 | Towards standards for human fecal sample processing in metagenomic studies. |
Q90470319 | Transfusional iron overload and intravenous iron infusions modify the mouse gut microbiota similarly to dietary iron |
Q36179805 | Transparent DNA/RNA Co-extraction Workflow Protocol Suitable for Inhibitor-Rich Environmental Samples That Focuses on Complete DNA Removal for Transcriptomic Analyses |
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Q35841371 | Variable responses of human and non-human primate gut microbiomes to a Western diet |
Q47178247 | Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial. |
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