TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| ( | |
| (meta)genomics | |
| 3 | |
| 3’ end | |
| 3’ RNAseq | |
| 4 | |
| 4C | |
| 5 | |
| 5’ end | |
| A | |
| Abundance index | |
| active targeting | |
| Acute Myeloid Leukemia | |
| Acute Promyelocytic Leukaemia | |
| Agent based modelling | |
| Agent-based model | |
| Agent-Based Modelling | |
| Aging | |
| Agroecology | |
| AI | |
| Algorithm | |
| Alpha Diversity | |
| Alpha-Satellite DNA | |
| Alphafold | |
| alternative polyadenylation | |
| amplicon | |
| Amyloids | |
| Annotation | |
| Annotation transfer | |
| Antibiotic resistance | |
| Antibody escape | |
| Antibody resilience | |
| antibody variable regions | |
| Antigen-targeting therapy | |
| Antivirals | |
| Aphid | |
| Applied Mathematics | |
| Arabidopsis thaliana | |
| archaea | |
| Artificial Intelligence | |
| Ascophyllum nodosum | |
| Assembly | |
| Atopic dermatitis | |
| Autoencoder | |
| Autoimmune diseases | |
| Autoimmunity | |
| Automated and scalable pipeline | |
| automatized pipelines | |
| Avian Inlfuenza H7 | |
| B | |
| BacDrop | |
| Bacterial pangenome | |
| Bacterial single-cell RNA-seq | |
| bacterial strain dependency | |
| batch effects | |
| Benchmark | |
| benchmark comparison | |
| Benchmarking | |
| binning | |
| bio.tools | |
| bioanalysis | |
| Bioconductor | |
| Biodiversity | |
| biogeography | |
| Bioinformatics | |
| Bioinformatics pipelines | |
| Bioinformatics platform | |
| Bioinformatics tools | |
| Bioinformatics training | |
| Biojava | |
| Biological Resources Centre (BRC) | |
| Biological Systems | |
| biomarkers | |
| Biomass function | |
| Biomedical knowledge base | |
| Biotherapies | |
| Biotic interactions | |
| Bipolar Disorder | |
| boolean network | |
| breast cancer | |
| Breast cancer progression | |
| Bruijn | |
| Bulk RNA-seq | |
| C | |
| cancer | |
| Cancer Cell Signaling | |
| Cancer Genomics | |
| Capacity building | |
| Carbon footprint | |
| cell therapy | |
| cell type | |
| Cell type deconvolution | |
| Cell-type deconvolution | |
| Centenarians | |
| Centromere | |
| challenges | |
| chemical communication | |
| Cheminformatics | |
| Chemosensory receptors | |
| Chimeric Junctions | |
| Chromatin contacts | |
| Chronic Lymphocytic leukemia | |
| Circadian clock | |
| circRNA | |
| Cis-regulatory elements | |
| Cistrome | |
| classification | |
| Climate change | |
| clonal evolution | |
| Cloud and containers | |
| Clustering | |
| clustering | |
| Coalescent | |
| codon usage | |
| coevolution | |
| Cofactor Segregation | |
| Combinatorial indexing | |
| Community | |
| Community Engagement | |
| Comparative genomics | |
| Comparative transcriptomics | |
| Complex ecosystems | |
| compositional data | |
| Compression | |
| Computational Biology | |
| Computational modeling | |
| Computing | |
| Condition-specific metabolic reconstruction | |
| confidence intervals | |
| Connectivity score | |
| Consensus sequences reconstruction | |
| conservation | |
| constraint-based metabolic model | |
| constraint-based modeling | |
| constraint-based modelling | |
| Containerization (Docker) | |
| convergent phenotypic evolution | |
| copy number alterations | |
| Copy Number Variation (CNV) Analysis | |
| Core facility | |
| core genome | |
| Core Regulatory Circuits | |
| Cross-sample Contamination | |
| Culex quinquefasciatus | |
| D | |
| data analysis | |
| Data brokering | |
| data integration | |
| Data Leakage | |
| data management | |
| Data submission | |
| Data Utility | |
| data visualization | |
| Data-driven drug discovery | |
| databanks | |
| Database | |
| databases | |
| De Bruijn Graph | |
| De novo assembly | |
| Deep Learning | |
| Deep mutational scanning | |
| Defective Viral Genomes detection | |
| Demographic Inference | |
| diagnosis | |
| Diatom | |
| Differential expression signature | |
| differential gene expression | |
| Differential proportions | |
| Digital twin | |
| Dinoflagellate | |
| discord | |
| Disease classification | |
| Diseases/Phenotypes | |
| Display | |
| diversity statistics | |
| Django | |
| DNA | |
| DNA Damage Response | |
| DNA Double-Strand Breaks | |
| DNA extraction benchmarking | |
| DNA methylation | |
| DNA sequence embedding | |
| DNA sequencing benchmarking | |
| DNA-binding | |
| Docker | |
| Dose-Response Assays | |
| Droplet microfluidics | |
| Drug Repurposing | |
| Drug repurposing | |
| Drug Response Prediction | |
| Drug–target interaction | |
| Duplication | |
| Dynamic programming | |
| Dynamical systems | |
| E | |
| Early-Onset Alzheimer Disease | |
| Ecological Quality | |
| Ecology | |
| EDAM | |
| ELIXIR | |
| Embedding learning | |
| Endoribonucleolytic cleavage site | |
| Energy efficiency | |
| enterosignatures | |
| Environmental data | |
| environmental DNA | |
| Epidemiology | |
| Epigenetic regulation | |
| eukaryote | |
| Europe | |
| EuroScienceGateway | |
| evolution | |
| evolutionary genomics | |
| Exome sequencing | |
| Exonuclease blockage profiling | |
| Experience sharing | |
| Exposomics | |
| Expression regulation | |
| F | |
| FAIR | |
| FAIR bioinformatics software | |
| FAIR data | |
| FAIR data analysis | |
| FAIR database | |
| FAIR Principles | |
| FAIR science | |
| farming practices | |
| Fermentation | |
| Folding potential | |
| Food ecosystem | |
| freshwater cyanobacteria | |
| FROGS | |
| Functional annotation | |
| G | |
| Galaxy | |
| Gammaproteobacteria | |
| Gaussian Graphical Models | |
| GBA1 mutation | |
| Gene annotations | |
| Gene conversion | |
| Gene duplication | |
| Gene expression | |
| gene expression evolution | |
| Gene family | |
| Gene Ontology | |
| Gene Ontology (GO) | |
| Gene Pleiotropy | |
| Gene regulation | |
| Gene regulatory network | |
| Gene repertoire | |
| genetic disease | |
| genetic diversity | |
| genetic integrity | |
| genome annotation | |
| genome assembly | |
| Genome browser | |
| genome portals | |
| Genome Visualization | |
| Genome-scale metabolic models reconstruction | |
| Genome-wide associations studies | |
| Genomic | |
| genomic data | |
| Genomic data visualization | |
| genomic observatories | |
| Genomic Rearrangements | |
| Genomics | |
| Genomics core facility | |
| genotype selection in plants | |
| genotypes | |
| Genus Classification | |
| geographic coordinate | |
| geomatics | |
| Glycans | |
| Graph | |
| graph algorithms | |
| Graph Neural Network | |
| Graph Neural Networks | |
| Graph Theory | |
| Graph-based assembly | |
| Graphical | |
| Growth Forms | |
| growth medium inference | |
| GSM | |
| Gut microbiome | |
| gut microbiota | |
| GWAS | |
| H | |
| habitat | |
| Haplotyping | |
| HDX-MS | |
| Health | |
| Heterogeneous data | |
| Hi-C | |
| HiFi reads | |
| High pathogenicity | |
| High-performance computing (HPC) | |
| Holobiont | |
| Honey bee microbiome | |
| host taxonomy | |
| Hotspots of diversity | |
| Human gut microbiome | |
| I | |
| IDH | |
| Immune cells | |
| Immune response | |
| Immune responses | |
| Immunology | |
| immunotherapy response | |
| in silico pathway screening | |
| Index | |
| individual Aedes mosquitoes | |
| Inference | |
| Information system | |
| Information Systems | |
| Information Systems and Data Interoperability | |
| Information Visualization | |
| Infrastructure | |
| Integrase | |
| Interactions | |
| Interactive Data Exploration | |
| Interactome | |
| Intergenic ORFs | |
| Interoperability | |
| interpretability | |
| Inversions | |
| Inverted repeat | |
| IoT LoRaWAN | |
| iPSCs | |
| J | |
| JAK inhibitors | |
| K | |
| K-mer indexing | |
| k-mers | |
| keyword1 | |
| keyword2 | |
| keyword3 | |
| Knockoffs | |
| knowledge base | |
| Knowledge Graph | |
| Knowledge Graph Embedding | |
| Knowledge graphs | |
| Krill | |
| L | |
| Lactation biology | |
| lactic acid bacteria | |
| Large Language Model | |
| Large Language Models | |
| Large-scale Boolean model | |
| Lasso | |
| Leptin | |
| Life Sciences | |
| Ligandability Assessment | |
| linear mixed models | |
| Link Prediction | |
| Linkage Disequilibrium | |
| linked-reads | |
| lncRNAs | |
| Local Accession Management | |
| Logical model | |
| Long-non coding RNA | |
| long-read | |
| long-read nanopore sequencing | |
| Long-read sequencing | |
| Long-reads | |
| Longevity | |
| M | |
| Machine Learning | |
| machine learning | |
| Machine-learning | |
| Maize genomic | |
| Mammalian evolution | |
| map viewer | |
| Marine Biodiversity Monitoring | |
| marine data | |
| marine organisms | |
| Marine plankton | |
| Markov CLustering | |
| mass spectrometry | |
| mast cells | |
| master regulators | |
| Mechanistic Modeling | |
| meningitis | |
| metabarcoding | |
| Metabolic Flux Balance analysis | |
| metabolic fluxes | |
| metabolic modelling | |
| Metabolic Network | |
| Metabolic network modelling | |
| metabolic networks | |
| Metabolism | |
| Metabolomics | |
| Metadata | |
| Metagenome assembly | |
| Metagenomic | |
| metagenomic shotgun | |
| Metagenomics | |
| Metastases | |
| Metatranscriptomic | |
| Method database | |
| mice | |
| microarray | |
| microbial communities | |
| microbial community | |
| Microbial ecology | |
| Microbial ecosystems | |
| Microbial guild | |
| microbial guilds | |
| microbial taxonomical annotation comparison | |
| Microbial translocation | |
| microbiome | |
| microbiome | |
| Microbiota | |
| microbiota data | |
| microplastics | |
| Microproteins | |
| Misconceptions | |
| MLOps | |
| Model deployment | |
| modeling | |
| Modelling | |
| Molecular clock | |
| MS2 spectra | |
| multi-class classification | |
| Multi-genome comparison | |
| Multi-omic data integration | |
| Multi-omics | |
| Multi-omics Integration | |
| Multimodal integration | |
| multiomics | |
| multiple myeloma | |
| multiscale modelling | |
| N | |
| Nanopore sequencing | |
| Nematoda | |
| Network dynamics | |
| network expansion | |
| network inference | |
| Networking | |
| Neural networks | |
| Neurodegenerative diseases | |
| neuroinflammation | |
| Neurological disease | |
| neuronal differentiation | |
| Neuroscience | |
| Nextflow | |
| NGS data normalization | |
| NIRS | |
| Non-allelic homologous recombination | |
| Non-B DNA | |
| Non-coding variants | |
| Non-model species | |
| Non-target Screening | |
| normalization | |
| novel CAZymes | |
| O | |
| omics | |
| Omics | |
| Oncology | |
| One Health | |
| Online tool | |
| Ontologies | |
| Open Education | |
| Open Science | |
| open source | |
| Open-access | |
| Ordering | |
| Orthology | |
| Oxford Nanopore Technologies | |
| P | |
| PacBio HiFi | |
| Pangenome | |
| pangenome graph | |
| Pangenome graphs | |
| Pangenome Simulation | |
| pangenomics | |
| Paraneoplastic Neurological Syndromes | |
| Parkinson disease | |
| pathogenicity | |
| Pathway analysis | |
| Pathway enrichment | |
| pattern finding | |
| PCHi-C | |
| PDAC | |
| peptide | |
| Peptidomics | |
| Personalized medicine (Cancer) | |
| Personalized treatment | |
| Phenology | |
| Phenotype | |
| Phylogenetic evolution | |
| Phylogenetic modelling | |
| phylogenetic tree | |
| phylogenetics | |
| Phylogenomics | |
| Phylogeography | |
| PhysiCell | |
| pig | |
| pipeline | |
| pitfalls | |
| Plant | |
| Plant Collections and Characterization | |
| Plant Functional Groups | |
| plant-pathogens interaction | |
| Plants | |
| plants domestication | |
| Population Genetics | |
| Post-transcriptional modifications | |
| precision medicine | |
| prediction | |
| prediction model | |
| prediction of PULs | |
| predomics | |
| Primates | |
| Privacy | |
| Professional Development | |
| prokaryotes | |
| Protein annotation | |
| Protein domains | |
| Protein embedding | |
| protein evolution | |
| Protein Families | |
| Protein family | |
| protein folding | |
| Protein Function Prediction | |
| Protein language models | |
| protein sequence | |
| protein structures | |
| protein topology | |
| Protein-Protein | |
| Protein-protein interaction modules | |
| protein-protein interactions | |
| protein-specific RNA ligands | |
| proteins | |
| Proteomics | |
| provirus | |
| PSSM | |
| Public data | |
| PWM | |
| python package | |
| Q | |
| quality assessment | |
| Quality control | |
| quantitative proteomics | |
| QuantSeq FWD | |
| R | |
| R Markdown notebooks | |
| R packages | |
| R-package | |
| Random Forests | |
| Rare disease | |
| Rare Diseases | |
| Rare variants | |
| Raw milk cheeses | |
| RDF | |
| reads | |
| Recombination | |
| recombinations | |
| recursivity | |
| refine | |
| regulatory evolution | |
| Regulatory network | |
| remote homologs identification | |
| reproducibility | |
| reproducibility | |
| reproducible workflows | |
| Research Data Management | |
| Research Support | |
| Response to water deficit | |
| Restricted Boltzmann Machines | |
| reverse ecology | |
| Rheumatoid arthritis | |
| Rhythmicity | |
| risks analysis | |
| RNA | |
| RNA 3D structure | |
| RNA degradation | |
| RNA graphs | |
| RNA modifications | |
| RNA structural motifs | |
| RNA structure | |
| RNA tertiary structure | |
| RNA World | |
| RNA-end sequencing | |
| RNA-protein interactions | |
| RNA-seq | |
| Rshiny | |
| S | |
| salmonid species | |
| Sample size | |
| sample size calculation | |
| SARS-CoV-2 | |
| Scaffolding | |
| Science Outreach | |
| scRNA-seq | |
| Semantic annotations | |
| Semantic Knowledge Graph | |
| Semi-targeted lipidomics | |
| sensory neurons | |
| sequence alignment | |
| Sequence motif | |
| Sequence Similarity Network | |
| Sequence size optimization | |
| Sequencing | |
| sequencing data analysis | |
| SHAP | |
| Shiny application | |
| Short reads | |
| shotgun metagenomics | |
| Similarity | |
| simulation framework | |
| Simulation tool | |
| Single Cell | |
| Single Cell RNA-seq | |
| Single Nucleotide Polymorphism | |
| single-cell | |
| single-cell data science | |
| single-cell RNA sequencing | |
| SingleCell RNASeq | |
| Small RNA | |
| Snakemake | |
| snoRNA | |
| software | |
| SOSA | |
| spatial | |
| spatial | |
| Spatial statistics | |
| Spatial transcriptomics | |
| species assignment | |
| spectral preprocessing | |
| Stability selection | |
| standardized | |
| Standardized database | |
| statistical power | |
| Statistics | |
| stevioside | |
| structural bioinformatics | |
| structural domains | |
| Structural properties | |
| Structural Variants | |
| Structural variations | |
| structure analysis | |
| subgraph | |
| Subtyping | |
| Succinct structures | |
| Supervised classification | |
| Surveillance | |
| Sustainable computing | |
| Sweetpotato virome | |
| Swine Influenza | |
| Symbiosis | |
| Synonymous codon | |
| synteny | |
| Synteny Conservation | |
| Synthetic Data | |
| systematic analysis | |
| Systems biology | |
| T | |
| taxonomy | |
| Teaching | |
| Temporal Genomic Data | |
| test instances | |
| Tetraploid | |
| Text mining | |
| Therapy resistance | |
| Third generation sequencing | |
| three-dimensional structure | |
| tomato | |
| Toxicogenomic | |
| TP53 | |
| Training | |
| Training Environment | |
| trainings | |
| Trans-kingdom | |
| Transcription Factors | |
| transcription regulation | |
| Transcription start site | |
| Transcriptional Regulatory Networks | |
| Transcriptome | |
| Transcriptomic | |
| Transcriptomic analysis | |
| transcriptomic data analysis | |
| transcriptomics | |
| Transcriptomics data | |
| Transformer models | |
| transformers | |
| transmission | |
| transposable element | |
| transposable elements | |
| treatment resistance | |
| Triticum aestivum | |
| tutorial | |
| U | |
| Ultra-conserved element | |
| uncultured bacteria | |
| user ergonomics | |
| V | |
| Variable selection | |
| Variant Calling | |
| Variant effects | |
| variant genotyping | |
| Variants | |
| Variation Graph | |
| Viral adaptation | |
| Viral diversity | |
| viral surveillance | |
| Virological surveillance | |
| virtual twin | |
| Virus | |
| Virus | |
| visualization | |
| vizualisation | |
| W | |
| web application | |
| Web services | |
| Web-service | |
| West Africa | |
| WGS | |
| Workflow | |
| workflow | |
| Workflow developments | |
| Workflow Manager | |
| Workflows | |
| working group | |
| Y | |
| yeast | |
| Z | |
| Zea mays | |
| Zymoseptoria tritici | |