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lung microbiome of lung cancer patients and controls
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创建时间：
2023-08-31
相关数据集
DataSheet1_BowSaw: Inferring Higher-Order Trait Interactions Associated With Complex Biological Phenotypes.PDF
Machine learning is helping the interpretation of biological complexity by enabling the inference and classification of cellular, organismal and ecological phenotypes based on large datasets, e.g., fr
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Data_Sheet_1_Assessing and Interpreting the Metagenome Heterogeneity With Power Law.pdf
There are two major sequencing technologies for investigating the microbiome: the amplicon sequencing that generates the OTU (operational taxonomic unit) tables of marker genes (e.g., bacterial 16S-rR
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Quality control for all samples.
Microbiome association studies typically link host disease or other traits to summary statistics measured in metagenomics data, such as diversity or taxonomic composition. But identifying disease-asso
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Additional file 1 of The composition of lung microbiome in lung cancer: a systematic review and meta-analysis
Additional file 1. QIIME Quality Filter Parameters. The parameters used in DADA2 denoising step.
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direct sequencing of 16S rRNA V3-V4 region of lung tissue from lung cancer patients raw sequence reads. bacteria
lung tissue microbiota from lung cancer patients
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