| ATAC-seq | Assay for transposase-accessible chromatin next-generation sequencing |
| BAM | Binary alignment map |
| ChIP-seq | Chromatin immunoprecipitation next-generation sequencing |
| CT | Computerized tomography |
| DNA | Deoxyribonucleic acid |
| DNase-seq | DNase I digestion of chromatin combined with next-generation sequencing |
| FDA | Food and Drug Administration |
| HTS | High-throughput sequencing |
| ICA | Independent component analysis |
| IEM | Inborn errors of metabolism |
| iPF | Integrative phenotyping framework |
| miRNA | microRNA |
| ML | Machine learning |
| MRI | Magnetic resonance imaging |
| MS | Mass spectrometry |
| MS/MS | Tandem mass spectrometry |
| ncRNA | Non-coding RNA |
| NGS | Next-generation sequencing |
| OPLSDA | Orthogonal partial least squares discriminant analysis |
| PCA | Principal component analysis |
| PLSDA | Partial least squares discriminant analysis |
| PM | Precision medicine |
| QC | Quality control |
| RNA | Ribonucleic acid |
| rRNA | Ribosome RNA |
| SAM | Sequence alignment map |
| SNP | Single-nucleotide polymorphisms |
| SOM | Self-organizing maps |
| SOP | Standard operating procedure |
| SVM | Support vector machines |
| TDA | Topological data analysis |
| tRNA | Transfer RNA |
| VCF | Variant call format |
| WES | Whole-exome sequencing |
| WGS | Whole-genome sequencing |