Description
Count distinct gene IDs inside and outside a supplied universe.
Computational biology distinguishes discrete counts, probabilistic weights, sequence indexes and logical rules. A supplied event or record flag can be summarized without simulating a stochastic process, validating a sequence annotation or establishing a biological mechanism.
Count distinct gene IDs inside and outside a supplied universe.
When to use this tool
Use Gene Set Universe Intersection Count when checking the stated count, sequence, Boolean-rule or support convention.
How to use the tool and how it works
- Enter geneIds, universeIds. Keep parallel arrays aligned. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read insideUniverse, outsideUniverse. Use the output convention below.
Count distinct gene IDs inside and outside a supplied universe. Deduplicate literal geneIds after partitioning by membership in universeIds.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| geneIds | Gene Ids | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| universeIds | Universe Ids | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| insideUniverse | Inside Universe | Required. Safe integer. |
| outsideUniverse | Outside Universe | Required. Safe integer. |
{
"input": {
"geneIds": [
"a",
"b",
"b",
"c"
],
"universeIds": [
"b",
"c",
"d"
]
},
"output": {
"insideUniverse": 2,
"outsideUniverse": 1
}
}Limitations and assumptions
- No identifier normalization, organism/version lookup, enrichment significance or biological interpretation is performed.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
Alternative or Complementary methods
Use the complete sequence, identifier universe or stochastic/logical model for actual inference, sampling and uncertainty analysis.
References
Similar or alternative tools
- Cell Barcode Ambiguity Count
Count barcode ambiguity across supplied cell assignments.
- Sequence Kmer Edge Loss
Return k-mer windows lost by clipping sequence ends.