What? question:
| Data set | Data |
|---|---|
| Genomics | 1 FASTA file for each timestamp and tabular with KOs |
| Transcriptomics | NaN |
| Metabolomics | Tabular data (.csv, .xlsx...) with time column |
| Proteomics | 1 FASTA file for each timestamp and encoding tabular |
| Physico-chemical | Tabular data (.csv, .xlsx...) with time column |
Why? question:
| Analyze | Search | Query |
|---|---|---|
| Consume: discover and present. | Target unknown: browse and explore. | Identify |
| Produce: record and derive. (without annotate) | Target known: nothing (without lookup and locate). | Compare |
| NaN | NaN | Without summarize |
How? question:
| Data set | Encode | Manipulate | Facet | Reduce |
|---|---|---|---|---|
| Genomics | FASTA: W2V -> PCA -> Map; KOs: Map | Select and navigate (without change) | Juxtapose (without partition and superimpose) | Filter (without aggregate and embed) |
| Transcriptomics | NaN | Select and navigate (without change) | Juxtapose (without partition and superimpose) | Filter (without aggregate and embed) |
| Metabolomics | Map | Select and navigate (without change) | Juxtapose (without partition and superimpose) | Filter (without aggregate and embed) |
| Proteomics | FASTA: W2V -> PCA -> Map; Tabular: BioPython -> Tabular -> Map | Select and navigate (without change) | Juxtapose (without partition and superimpose) | Filter (without aggregate and embed) |
| Physico-chemical | Map | Select and navigate (without change) | Juxtapose (without partition and superimpose) | Filter (without aggregate and embed) |