AI in Genomics
Variant Calling
- Single Nucleotide polymorphisms
- Insertions and Deletions
- Copy number variations
RNA-Seq
- Differential gene expression
- GSEA/ gene ontology
- Allele-specific expression
- Small RNA analysis
Epigenetics/ ChIP Seq
- Peak calling, HMM
- DNA binding proteins
- Novel transcript factor
- Motif discovery
Metagenomics
- 16S rRNA analysis
- Taxanomy determination
- Meta-genome assembly
- Alpha/Beta diversity
GWAS & Phenotype Assosciation
- Association analysis
- Genomic inflation
- Mixed linear models
De Nono Assembly
- Annotation of genomes
- Comparative genomics
- BLAST-based gene analysis
- Gene-Family analysis
Machine Learning
- Feature selection
- Algorithm training
- Model selection & evaluation
- Receiver Operating Character
Visualisation
- Circos plots
- Chromosome wide plots
- Locus zoom plots
- Scatter plots
Network analyis
- Co-expression networks
- Diff Module usage
- GSE strategies
- Meta-Correlations
Statistics
- Power Calculations
- Non-parametric statistics
- Multiple correction, FDR, etc.
- Dimensionality reduction
Choose - Connect - Conclude