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Biology
Microbiology
Microbiome Analysis
1. Introduction to the Microbiome
2. Experimental Design Principles
3. Sample Collection and Processing
4. Nucleic Acid Extraction and Quality Assessment
5. High-Throughput Sequencing Technologies
6. Bioinformatics Data Processing
7. Taxonomic Analysis and Profiling
8. Diversity Analysis Methods
9. Functional Analysis Approaches
10. Statistical Analysis and Hypothesis Testing
11. Advanced Analytical Approaches
12. Microbiome Applications in Human Health
13. Environmental Microbiome Applications
14. Industrial and Agricultural Applications
Taxonomic Analysis and Profiling
Amplicon-Based Taxonomic Analysis
Sequence Clustering Approaches
Operational Taxonomic Units
Similarity Thresholds
Clustering Algorithms
Representative Sequences
Amplicon Sequence Variants
Denoising Methods
Error Correction
Exact Sequence Variants
Taxonomic Classification
Reference Database Selection
Greengenes Database
SILVA Database
RDP Database
UNITE Database
Classification Algorithms
Naive Bayes Classifiers
k-mer Based Methods
Alignment-Based Methods
Machine Learning Approaches
Confidence Assessment
Bootstrap Values
Classification Confidence
Taxonomic Resolution Limits
Shotgun Metagenomics Taxonomic Profiling
Marker Gene-Based Profiling
Single-Copy Gene Markers
Phylogenetic Markers
Abundance Estimation
k-mer Based Classification
k-mer Database Construction
Classification Speed
Memory Requirements
Read Mapping Approaches
Reference Genome Mapping
Alignment Quality
Multi-Mapping Reads
Profiling Tool Comparison
MetaPhlAn
Kraken
Centrifuge
Bracken
Taxonomic Data Interpretation
Abundance Metrics
Relative Abundance
Absolute Abundance
Presence-Absence
Taxonomic Resolution
Species-Level Identification
Strain-Level Analysis
Higher Taxonomic Levels
Contamination Assessment
Negative Controls
Positive Controls
Batch Effects
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8. Diversity Analysis Methods