TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
1 | |
1H-NMR | |
2 | |
2D NMR | |
3 | |
3D chromatin network | |
3D genomics | |
3D RNA | |
A | |
Adaptive Sampling | |
Adipogenic Stromal Cells | |
Affinity Propagation clustering | |
Aggregation | |
Aggressive subclones | |
aging | |
agro-ecology | |
AI | |
algorithm | |
aLhr2 | |
AlphaFold | |
Alternative Splicing | |
Amino-acid sequences | |
Analysis Pipeline | |
Anchor compound | |
Angiogenesis | |
Annotation | |
anonymity | |
Antimicrobial resistance | |
Archaea | |
artificial microbial consortia | |
assembly | |
association genetics | |
Assortativity | |
atypical segment detection | |
Automated analysis | |
automatic integration | |
automating | |
AVITI | |
B | |
bacterial evolution | |
Bacterial genome assembly | |
Bacterial phylogeny | |
Bacterial secretion systems | |
Bagging models | |
beehive products | |
Benchmark | |
benchmark comparison | |
Benchmarking | |
binary tree | |
Binding site | |
Bio-ontologies | |
bioactive compounds | |
Bioinformatic | |
Bioinformatic software | |
Bioinformatics | |
bioinformatics analyses | |
bioinformatics tools | |
Biological Graphs | |
Biological networks | |
Biologie des Systèmes | |
Biomarkers | |
Biomaterials | |
BIOTIC | |
biotic interactions | |
Bipolar disorder | |
bitmap | |
Bone marrow | |
Boolean model | |
Boolean models for biological systems | |
Breast cancer | |
bulk RNAseq | |
BurkinaBioinfo | |
C | |
C.elegans | |
C/D box small nucleolar RNA (SNORD) | |
Cancer | |
cancer genomics | |
Carbohydrate | |
Causal analysis | |
Causal inference | |
CAZy Database | |
cellular senescence | |
Challenges | |
changepoint detection | |
Chemoinformatics | |
Chimeras | |
ChIP-seq | |
Chromatin | |
Chromatin contacts | |
Chromosomes | |
Chronic lymphocytic leukemia | |
CI/CD | |
circRNA | |
Classification | |
Classifier | |
climate change | |
Clonal heterogeneity | |
Cloud | |
cloud computing | |
CNN | |
CNV | |
Co-expression | |
Coding DNA | |
cohort study | |
Collagen interaction | |
Collimonas | |
Colorectal | |
community | |
comparative analyses | |
Comparative genomics | |
computational benchmark | |
Computational biology | |
Compétences | |
Confounding effect | |
confounding variables | |
Consensus network | |
consensus OPLS-DA | |
constraint-based modelling | |
Copy number variations | |
Crop resilience | |
Cross-sample Contamination | |
Cytometry | |
D | |
dada2 | |
dark matter | |
Data base | |
data challenge | |
Data Engineering | |
data fusion | |
data integration | |
Data Integration and Visualization | |
Data lake | |
data management | |
data reduction | |
data science | |
data visualization | |
Data-Leakage | |
Database | |
dataset integration | |
de novo gene birth | |
deconvolution | |
Deconvolution algorithms | |
Deep Learning | |
Deep-learning | |
DeepOmics | |
Degraded DNA | |
detection | |
DevOps | |
diagnostic | |
Differential analysis | |
Differential expression | |
differential expression analysis | |
Differentially methylated regions (DMRs) | |
Dimension Reduction | |
dinoflagellates | |
Distance | |
distributed computing | |
distributed infrastructure | |
DMP | |
DNA methylation | |
DNA repair | |
DNBSEQ-T7 | |
Docker | |
Drosophila | |
Drosophila model organism | |
drug repurposing | |
Drug-Repurposing | |
Drug-target identification | |
Drug-target interactions (DTIs) | |
E | |
Early detection | |
ecological model | |
embedding learning | |
Endometriosis | |
enhancers | |
Enrichment analysis | |
ensemble clustering | |
EnviBIS | |
Environmental biorefinery | |
environmental biotechnology processes | |
environmental DNA | |
Enzyme | |
Epidemiologic surveillance | |
epigenetic | |
epigenetics | |
Epitranscriptomic | |
eQTL | |
eQTL hotspots | |
Erythropoiesis | |
eukaryotes | |
EuroScienceGateway | |
evolution | |
Evolutionary Biology | |
Exome sequencing | |
expression | |
expression quantitative trait loci | |
Expression regulation | |
extrinsic variability | |
F | |
factor models | |
FAIR | |
fair comparison | |
FAIR data | |
FAIR data analysis | |
FAIR principles | |
FAIR science | |
fba | |
Feature extraction | |
Feature selection | |
Federation | |
fermented vegetables | |
Ferments | |
Fiber | |
Fibronectin | |
Forest soil | |
Formation | |
freshwater cyanobacteria | |
Fruit development | |
Fruits | |
function prediction | |
Functional and taxonomic annotation | |
functional annotation | |
functional differentials | |
Functional diversity | |
functional motifs | |
Fungal guilds | |
Fungi | |
G | |
Galaxy | |
GEA | |
Gene annotations | |
Gene duplication | |
Gene evolutionary ages | |
gene expression | |
Gene family | |
gene regulation | |
Gene Regulatory Network | |
Gene regulatory networks | |
Gene Regulatory Networks (GRN) | |
gene-regulatory network | |
genetic disorders | |
Genetic Diversity | |
Genetic hitchhiking | |
Genetic imputation | |
Genome | |
Genome annotation | |
genome assembly | |
Genome browser | |
Genome browsers | |
genome evolution | |
Genome function | |
genome portals | |
Genome regulation | |
Genome repeats | |
genome sampling | |
genome sequencing | |
genome stability | |
Genome structure | |
genome-scale metabolic networks | |
Genomes | |
genomic adaptation | |
Genomic predictions | |
Genomic Rearrangements | |
genomic variation | |
genomic variations | |
Genomics | |
Genomics core facility | |
genotype-phenotype relationship | |
genotypes | |
Genotyping | |
GitHub | |
Gold standard corpus | |
graph | |
Graph neural network | |
Graph Neural Networks | |
Graph pangenomes | |
Graph Representation Learning | |
graph theory | |
Graph-embedding | |
graphe de connaissance sémantique | |
Graphical User Interface | |
Graphs | |
GRO-seq | |
GSEA | |
GWAS | |
GxE interactions | |
Génomique Environnementale | |
H | |
H3K27ac | |
H3K27me3 | |
H3K9me3 | |
Habitat | |
Haplotig purging | |
Haplotype | |
Haplotypes | |
heat | |
Heterogenous data | |
Hi-C | |
Hi-C data | |
HiC | |
hierarchical clustering | |
High pathogenic avian influenza viruses | |
High-dimension | |
high-throughput sequencing data | |
HLAtyping | |
Holobiont | |
homologous recombination | |
homology | |
homology search | |
horizontal gene transfer | |
Horizontal transfers | |
Host-pathogen interactions | |
HPC cluster | |
HPC infrastructure | |
human disease | |
Human gut microbiome | |
human gut microbiota | |
Human Phenotype Ontology (HPO) | |
Hybridization-Capture | |
I | |
Image analysis | |
Image-based segmentation | |
imaging | |
Immunity | |
Immuno-oncology | |
Immunoevasion | |
immunology | |
Immunotherapy | |
impact environnemental | |
In silico predictions | |
Incomplete data | |
Information system | |
Infrastructure | |
insertions | |
interactive training | |
INTERCHANGE | |
Interoperability | |
interpretability | |
intégration de données | |
Intra-species diversity | |
Intégration de connaissances | |
Isoform analysis | |
ISRU | |
K | |
k-mers | |
keynote | |
Kinase Superfamily | |
Kink-Turn family | |
Knockoffs | |
Knowledge database | |
Knowledge Discovery | |
Knowledge Graph | |
Knowledge-Graph | |
knowledgebase | |
Kronecker Optimized METhod | |
Kubernetes | |
L | |
Labos 1point5 | |
Large alphabet de Bruijn graph | |
large language model | |
Large-scale computational modeling | |
Large-sized benchmark dataset | |
Latent space | |
LIME Algorithm | |
LIMS | |
Lindley | |
Lindley-CUSUM process | |
Linked Data | |
local score | |
Long reads | |
Long-read | |
Long-read assembly | |
long-read nanopore sequencing | |
Long-read sequencing | |
Long-Read Sequencing facility | |
Longevity | |
Loss-of-function variants | |
low pathogenic avian influenza viruses | |
LSM-8 | |
LTR-retrotransposons | |
Lung cancer | |
Lung radiotherapy | |
Lymph node | |
M | |
Machine learning | |
Machine-Learning | |
Mapping | |
MAPS | |
marine organisms | |
Markov CLustering algorithm | |
Mash | |
mass spectrometry | |
Master | |
Mathematical modeling | |
Matrix factorization | |
maximal exact matches | |
Mechanisms of Disease | |
Mediation | |
Medical imaging | |
MES | |
meta-analysis | |
meta-assembly | |
Metabarcode | |
Metabolic fluxes | |
metabolic modelling | |
Metabolic Models | |
metabolic network | |
Metabolic networks | |
Metabolic networks reconstruction | |
metabolism | |
Metabolomic analysis | |
Metabolomics | |
MetaCyc pathways | |
Metagenome | |
Metagenomic | |
Metagenomics | |
metaomics data | |
Metaplastic breast cancer | |
metataxonomic study | |
Metatranscriptomics | |
Metric | |
microbial association network | |
microbial communities | |
microbial community | |
Microbial genomics | |
microbial guilds | |
Microbial Translocation | |
microbiology | |
Microbiome | |
microbiome data | |
microbiota | |
Microbiote intestinal | |
microprotein | |
Microservice | |
Microsporidia | |
Migration | |
Milk | |
Minimal databases | |
Minimizers | |
MinION | |
miRNA | |
misconceptions | |
mitochondria | |
mitochondrial diseases | |
Mobile genetic elements | |
Modelisation | |
Modelling | |
Modélisation | |
mole-rat | |
molecular clock | |
Molecular docking | |
molecular dynamics | |
Molecular dynamics simulations | |
molecular mimicry | |
Mosaic | |
Mosaic integration | |
multi-basic cleavage site | |
Multi-omics | |
multi-omics analysis | |
multi-omics data integration | |
multi-omics integration | |
multi-proteins similarity | |
multi-way comparison | |
multiblock | |
multimodal analysis | |
Multiple interactions | |
Multiple myeloma | |
multiple testing | |
Multivariate analysis | |
Musa | |
mutation rate | |
Myriapods | |
N | |
Nanopore | |
Natural language processing | |
ncRNA targets | |
Neighborhood metrics | |
Nematodes | |
neopeptides | |
Network | |
network analysis | |
network inference | |
Network modeling | |
Networks | |
Neuroblastoma | |
New Generation Sequencing (NGS) | |
next-generation sequencing | |
Nextflow | |
NGS | |
NMF | |
Non-assembled genomes | |
non-coding DNA | |
non-coding transcription | |
non-laboratory models | |
Non-model organisms | |
nonsense suppression therapies | |
nonsense variations | |
Nutrition | |
O | |
Oligosaccharide diversity | |
Olive Quick Decline Syndrome | |
Omic | |
Omics | |
Omics analysis | |
omics data | |
Omics Data Integration | |
oncologie | |
Oncology | |
One Health | |
ONT | |
ontologies | |
Ontology | |
Open access | |
open genomic resources | |
Open Science | |
Open-Science | |
opioid | |
Organic matter degradation | |
orphan genes | |
Orthology | |
Ovarian cancer | |
Oxalobacteraceae | |
Oxford Nanopore Sequencing | |
Oxford Nanopore Technologies | |
P | |
paleogenomics | |
Paleontology | |
Paleoproteomics | |
Pan-genomics | |
Pangenome | |
Pangenome graph | |
Pangenome graphs | |
pangenome praph | |
Pangenomics | |
Parameterized Complexity | |
Parasites | |
pathway analysis | |
Patient classification | |
PCHi-C | |
PDAC | |
Pea Genome | |
performance analysis | |
Personalized medicine | |
Pharmaceutical industry | |
Phasing | |
Phenotypes | |
phenotypic adaptations | |
Phylogenetic Analysis | |
Phylogenetic datation | |
phylogenomic | |
phylogenomics | |
Pig | |
Pinot Noir | |
pipeline | |
pipelines | |
Plant genetic diversity | |
plant parasitic nematodes | |
Platform | |
polymerase | |
Population genetics | |
population genomics | |
population polymorphism | |
Pore-C analysis | |
Post-transcriptional modifications | |
precision medicine | |
Prediction | |
Preprocessing | |
privacy | |
Protein Binding | |
Protein Diversification | |
protein folds | |
Protein interaction | |
Protein Language Model | |
protein language models | |
protein mutation | |
Protein Protein Interaction | |
Protein structure | |
Protein structure prediction | |
protein-protein interaction network | |
Proteogenomic | |
proteomics | |
Provence | |
proximal optimization | |
Pseudo-labeling | |
pseudogenes | |
Pseudogymnoascus destructans | |
Psoriasis | |
Psychosis | |
PU-learning | |
Pulsar | |
Pédagogie | |
Q | |
QTL detection | |
Quality control | |
R | |
R library | |
R package development | |
R shiny | |
R. Thomas’ discrete modeling framework | |
Radio-toxicity | |
Random Forest | |
Ranking | |
Rare disease | |
Rare diseases | |
Rare Variants | |
Recombination | |
Reconstruction | |
reference genome | |
Regeneration | |
Regenerative medicine | |
Regulatory DNA sequence | |
Regulatory elements | |
Regulatory genomics | |
Regulatory Sequence | |
Regulatory variants | |
RELIEFF | |
remote homologs identification | |
Repeated-sequences | |
Representation Learning | |
representative genomes | |
Reproducibility | |
Reproducible science | |
RGCCA | |
Rhabdoid tumors | |
Rheumatoid Arthritis synovial macrophages | |
RiboMethSeq | |
ribonucleases | |
ribosomal RNA epitranscriptomics | |
Rice | |
RNA 3D structure | |
RNA half-life | |
RNA maturation | |
RNA-end sequencing | |
RNA-RNA interactions | |
RNA-seq | |
RNA-Seq data analysis | |
RNAseq | |
Rshiny | |
RStudio | |
RuleFit | |
ruminants | |
réseau de laboratoire | |
S | |
Schizophrenia | |
Science popularization | |
scientific competition | |
Scientific competition | |
scNaUmi-seq | |
Scoring function | |
scRNA-seq | |
Segmentation | |
Semantic Web | |
Semi supervised learning | |
Semi-supervised learning | |
sequence analysis | |
Sequence similarity networks | |
Sequence to graph mapping | |
service | |
sex-differences | |
Shiny | |
Short reads | |
shotgun metagenomics | |
Silencers | |
simulation framework | |
Simulations | |
Single cell RNA sequencing | |
Single Cell RNA-seq | |
Single Cell RNASeq | |
single-cell | |
Single-cell RNA-seq | |
Single-cell RNAseq | |
Ski2-like helicases | |
smoking | |
Snakemake | |
snakemake pipelines | |
Snoussi’s constraints | |
software | |
Solution space sampling | |
sORF | |
space biomining | |
Spatial | |
spatial biology | |
Spatial transcriptomic | |
Spatial transcriptomics | |
species | |
Squidpy | |
Standardization | |
statistical significance | |
Statistics | |
Strobemers | |
Structural annotation | |
structural variation | |
Structure evaluation | |
Sufficient dimension reduction | |
supervised learning | |
Supervised machine learning | |
survival analysis | |
synapomorphy | |
sysadmin | |
Systems Bioinformatics | |
systems biology | |
T | |
T lymphocytes | |
Targeted metagenomics | |
Taxonomic annotation | |
taxonomic classification | |
Taxonomic profiling | |
TCGA | |
Technologies comparison | |
Telomeres | |
Tissue engineering | |
Toxicogenomic | |
Toxicology | |
Toxins | |
Trajectory Inference | |
Transcript-based segmentation | |
Transcription factors | |
Transcription factors binding | |
Transcription start site | |
Transcriptional Regulatory Networks | |
Transcriptomic | |
Transcriptomics | |
Transfer learning | |
transformer | |
Transition matrix | |
Translation speed profiling | |
tree of life | |
Tumor classification | |
Tumor microenvironment | |
Ty | |
type 2 diabetes | |
U | |
UI / UX | |
Ultra-high-risk patients | |
Unix | |
Uveal melanoma | |
V | |
V3-V4 size | |
Variable selection | |
Variant calling | |
variant prioritization | |
Variation graph | |
Viral hepatitis | |
Viruses | |
Visium | |
Visualisation | |
visualization | |
W | |
WASM | |
web application | |
Web applications | |
Web components | |
Web platform | |
webtool | |
WGS analysis | |
Whole exome sequencing | |
Whole Genome Sequencing | |
Wine authenticity | |
Workflow | |
Workflow developments | |
Workflow Manager | |
workflows | |
Workshop | |
Y | |
Yeast | |
Z | |
ZooMS | |
é | |
écologie |