Library Size Total Mapped Reads Summator

Sum supplied mapped-count entries; callers must prevent multi-assigned read double counting. No alignment or library-size normalization.

Description

Sum supplied mapped-count entries; callers must prevent multi-assigned read double counting.

Summing mapped feature counts gives a total for the supplied vector. The number of entries is a feature count, which differs from a count of distinct sequencing reads.

When to use this tool

Sum supplied mapped-count entries; callers must prevent multi-assigned read double counting.

  • Prepare the supplied mappedCounts fields for this operation.
  • Compare the complete example with the representation used by your own input before carrying the result into another step.

How to use the tool and how it works

  1. Enter mappedCounts. Use the exact text syntax, units and index conventions explained below.
  2. Run the tool. If input validation fails, correct the supplied fields before interpreting any result.
  3. Read result.totalMappedCounts, result.features. Interpret false, null and empty lists using the distinctions below; they can be valid outputs.

Validate each mappedCounts entry as a nonnegative bounded integer, sum them, and return totalMappedCounts plus the number of features.1

Input fieldMeaning and representationAccepted input
mappedCountsmapped counts.List of finite numbers; bounded by the operation
Output fieldInterpretation
resultObject containing the named outputs below.
result.totalMappedCountsThe total mapped counts value under the stated formula or text convention.
result.featuresThe features value under the stated formula or text convention.
json
{
  "input": {
    "mappedCounts": [
      2,
      3
    ]
  },
  "output": {
    "result": {
      "totalMappedCounts": 5,
      "features": 2
    }
  }
}

Limitations and assumptions

  • Counts must already have the intended counting convention. Overlapping assignments, duplicate reads and unassigned reads are not detected; an empty vector sums to zero.
  • Every declared top-level field is required and unexpected fields are rejected. Numeric inputs must be finite; ordinary text fields are bounded to 8,192 UTF-16 code units, with tighter operation-specific limits where stated.
  • Ordinary string lists have at most 128 entries of at most 128 code units each; numeric lists and matrices have separate bounded size checks. Nonfinite results and excessively large serialized outputs are rejected.
  • Indexes are zero-based and spans have an exclusive end unless explicitly stated otherwise. A valid false, null or empty-list result is distinct from malformed input.

Alternative or Complementary methods

Use a complete assay-analysis workflow for normalization, quality control and inference. Keep supplied measurements, fixed educational windows and caller-chosen thresholds distinct; these tools perform the documented calculation or retrieve a short reference note.

References

  1. Tool behavior and example: Library Size Total Mapped Reads Summator — tool.io

Similar or alternative tools

  • deseq size factor

    Median-ratio size factors compare sample counts with per-gene geometric means.

  • insert size mode

    The modal insert size is the most frequently observed size.

Don't forget to set a bookmark for tool.io!
Privacy | Imprint | Cookies