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 | |
Aedes aegypti | |
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 | |
Arboviruses | |
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 | |
Guadeloupe | |
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 | |
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 | |
Local adaptation | |
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 |