Keyphrases
Metagenomic Binning
100%
Assembly Graph
66%
Microflora
57%
Graph Neural Network
50%
Data Science
50%
Microbial Dark Matter
50%
Variational Autoencoder
50%
Habitat Preference
50%
Methanotrophs
50%
Denmark
50%
Sink Potential
50%
Methane Sink
50%
Sink Habitat
50%
Knowledge Graph
50%
Modal
50%
Spatial Data
50%
Using Knowledge
50%
Microbial Genomes
40%
Marker Genes
38%
Environmental Data
36%
State-of-the-art Techniques
33%
Spatial Grid
33%
Genome Recovery
30%
Microbes
30%
Methane
28%
Genome Data
20%
Supercharging
20%
Bacterial Genomes
20%
Long-read Sequencing
17%
Tree of Life
17%
Local Properties
16%
Neural Network Architecture
16%
Connectivity Information
16%
Local Features
16%
Learning Latent Representations
16%
Structural Information
16%
Gene Markers
16%
DEMON
16%
Effective Method
16%
Synthetic Data
16%
DNA Sequencing
16%
Common Format
16%
Joint Analysis
16%
Microbial Data
16%
Heterogeneous Data Sources
16%
Real-world Use
16%
Oxidizer
14%
Atmospheric Methane
14%
Metagenome
14%
MmoX
14%
PmoA
14%
Modified nucleotides
10%
Hidden Link
10%
DNA Graph
10%
Nucleotide Signature
10%
Graph-based Machine Learning
10%
Graph-based Deep Learning
10%
Bacterial Diversity
10%
External Data
10%
Human Microbiome
10%
Biodiversity
10%
Microbial Community
10%
Discovery-based
10%
Species Diversity
10%
Nanopore Sequencing
10%
Prokaryotic Species
10%
New Antibiotics
10%
Genome Database
10%
Genetic Diversity
10%
Microbial Species
10%
Environmental Challenges
10%
Waste Products
10%
New Platform
10%
Biosphere
10%
Level Variations
7%
Preference Distribution
7%
Accessory Genome
7%
Carbon-sulfur
7%
Core Genome
7%
Greenhouse Gas
7%
Geographical Distribution
7%
Species Level
7%
Ecological Constraints
7%
Metabolic Potential
7%
Genomic Variation
7%
Methane Oxidation
7%
Methanotrophy
7%
Biogeography
7%
Methane Monooxygenase
7%
Microorganisms
7%
Soil Samples
7%
Functional Genes
7%
Gene Phylogeny
7%
Monooxygenase
7%
Substrate Affinity
7%
Carbon-nitrogen
7%
Methane Mitigation
7%
Global Surface Temperature
7%
Global Warming Potential
7%
Computer Science
Autoencoder
50%
Information Loss
50%
Case Study
50%
Graph Neural Network
50%
Effective Method
25%
Baseline Method
25%
Environmental Data
25%
Simulated World
25%
Data Source
25%
Heterogeneous Data
25%
local feature
25%
Use Case
25%
Neural Network Architecture
16%
Research Direction
16%
Synthetic Datasets
16%
Immunology and Microbiology
Methanotroph
50%
Microbial Genome
50%
Microorganism
44%
DNA Sequence
25%
Bacterial Genome
25%
Marker Gene
21%
Tree of Life
19%
Metagenome
14%
Human Microbiome
12%
Species Diversity
12%
Surface Property
7%
Biogeography
7%
Microflora
7%
Geographic Distribution
7%