MetaGeniE: Characterizing human clinical samples using deep metagenomic sequencing

Keyphrases

• Accurate Identification 33%
• Bacterial Identification 33%
• Clinical Metagenomics 33%
• Clinical Samples 66%
• Close Relatives 66%
• Complex Microbial Communities 33%
• Computational Challenges 33%
• Deep Sequencing 66%
• DNA Concentration 66%
• Efficient Strategy 33%
• Gene Similarity 33%
• Genetic Characterization 33%
• Genome Reconstruction 33%
• Global Alignment 33%
• High Sensitivity 33%
• High Specificity 33%
• High-throughput 33%
• Host Specificity 33%
• Human Clinical Samples 100%
• Human DNA 33%
• Laboratory Culture 33%
• Local Alignment 33%
• Local Sequence 33%
• Metagenome 100%
• Metagenomic Next-generation Sequencing (mNGS) 100%
• Microbes 33%
• Microbial Community 33%
• Next-generation Sequencing 33%
• Pathogen Abundance 33%
• Pathogen Detection 66%
• Pathogen DNA 33%
• Read Count 33%
• Read Mapping 33%
• Reference Genome 66%
• Relative Abundance 33%
• Sensitivity Specificity 33%
• Sequence Aligner 33%
• Sequence Reads 33%
• SNP Genotyping 33%
• Strain Level 33%
• Target DNA 33%
• Taxonomic Resolution 66%
• Tissue Sampling 33%

Biochemistry, Genetics and Molecular Biology

• Bacterium Identification 16%
• Deep Sequencing 33%
• Genetics 16%
• Infectious Agent 100%
• Metagenome 50%
• Metagenomics 100%
• Microorganism 16%
• Next Generation Sequencing 16%
• Reconstruction 16%
• Reference Database 33%
• SNP Genotyping 16%
• Taxon 16%

Immunology and Microbiology

• Bacterium Identification 16%
• Genotype 16%
• Infectious Agent 100%
• Metagenome 50%
• Metagenomics 100%
• Microorganism 16%
• Next Generation Sequencing 16%
• Reference Database 33%
• Single Nucleotide Polymorphism 16%
• Taxon 16%