injection-sequence-annotation
Summary
Identifies and annotates quality control pool (QCpool) samples within metabolomics or lipidomics injection sequences exported from Sciex Multiquant, recording their positions and validating regular interval spacing to support quality assessment workflows.
When to use
You have a Sciex Multiquant TXT export file containing a metabolomics or lipidomics analytical sequence and need to locate QCpool samples that were injected at regular intervals, validate their spacing matches study design expectations, and compile structured metadata for downstream quality control analysis.
When NOT to use
- Input is not a Sciex Multiquant TXT export (e.g., raw mzML/mzXML files, already-processed feature tables, or output from other vendor software)
- QCpool samples are not marked or annotated in the sequence metadata—the skill requires explicit QCpool labeling to function
- Study design does not specify regular interval injection of QCpool samples
Inputs
- Sciex Multiquant TXT export file (version > 3.0.3) containing sample metadata and injection sequence
Outputs
- Structured annotation table with columns: sample name, injection index, sequence ID, interval position
- Validation report confirming QCpool regularity or flagging deviations from expected intervals
How to apply
Load the Sciex Multiquant TXT export and parse the injection sequence metadata to extract sample names and position indices. Scan the sequence to identify samples annotated or marked as QCpool or quality control pool samples. For each detected QCpool, record the injection index, position within sequence, and sequence identifier. Validate that detected QCpool samples occur at regular intervals as specified by study design—this is a critical check that the QC strategy was executed as planned. Compile results into a structured table with columns for sample name, injection index, sequence ID, and interval position for integration into quality assessment pipelines.
Related tools
- Sciex Multiquant (Generates and exports the TXT file containing sample metadata and injection sequence that is parsed to locate QCpool samples)
- QComics (Downstream package that consumes parsed QCpool annotations and injection sequence metadata for quality assessment and visualization of metabolomics/lipidomics study quality) — https://github.com/ricoderks/QComics
Evaluation signals
- All samples labeled as QCpool in the input file are detected and recorded in the output table with correct injection indices
- Interval validation confirms QCpool samples are spaced at equal or near-equal distances across the sequence (e.g., every N injections as per study design)
- Output table has no missing values in required columns (sample name, injection index, sequence ID, interval position)
- Sequence ID values correctly reflect which analytical run each QCpool belongs to (important for multi-sequence studies)
- Detected deviations from expected regularity (e.g., missing QCpool, uneven spacing) are flagged and reported for manual review
Limitations
- Skill depends on QCpool samples being explicitly annotated or marked in the Sciex Multiquant metadata—ambiguously labeled samples may be missed
- Requires knowledge of the expected QCpool injection interval (study design specification) to validate regularity; the skill can detect spacing but cannot infer the correct interval on its own
- Works only with Sciex Multiquant TXT exports (version > 3.0.3); other vendor formats or software versions are not supported
- No changelog or version history is documented for the QComics package, limiting ability to track changes in expected input/output formats across releases
Evidence
- [intro] a pooled sample (QCpool) needs to be measured in regular intervals during one or more sequences: "a pooled sample (QCpool) needs to be measured in regular intervals during one or more sequences"
- [intro] QCpool samples need to be analysed with Sciex Multiquant (> v3.0.3) software and exported to txt format: "QCpool samples need to be analysed with Sciex Multiquant (> v3.0.3) software and exported to
txt format"
- [intro] The goal of the QComics package is to have a quick overview of the quality of a metabolomics or lipidomics study: "The goal of the
QComics package is to have a quick overview of the quality of a metabolomics or lipidomics study"
- [other] workflow describes scanning injection sequence to identify QCpool samples, recording indices and positions, and validating regular intervals: "Scan the injection sequence to identify samples marked or annotated as QCpool or quality control pool samples. Record the injection index, sample position within sequence, and any sequence identifier"
1---2name: injection-sequence-annotation3description: Use when you have a Sciex Multiquant TXT export file containing a metabolomics or lipidomics analytical sequence and need to locate QCpool samples that were injected at regular intervals, validate their spacing matches study design expectations, and compile structured metadata for downstream.4license: CC-BY-4.05---67# injection-sequence-annotation89## Summary1011Identifies and annotates quality control pool (QCpool) samples within metabolomics or lipidomics injection sequences exported from Sciex Multiquant, recording their positions and validating regular interval spacing to support quality assessment workflows.1213## When to use1415You have a Sciex Multiquant TXT export file containing a metabolomics or lipidomics analytical sequence and need to locate QCpool samples that were injected at regular intervals, validate their spacing matches study design expectations, and compile structured metadata for downstream quality control analysis.1617## When NOT to use1819- Input is not a Sciex Multiquant TXT export (e.g., raw mzML/mzXML files, already-processed feature tables, or output from other vendor software)20- QCpool samples are not marked or annotated in the sequence metadata—the skill requires explicit QCpool labeling to function21- Study design does not specify regular interval injection of QCpool samples2223## Inputs2425- Sciex Multiquant TXT export file (version > 3.0.3) containing sample metadata and injection sequence2627## Outputs2829- Structured annotation table with columns: sample name, injection index, sequence ID, interval position30- Validation report confirming QCpool regularity or flagging deviations from expected intervals3132## How to apply3334Load the Sciex Multiquant TXT export and parse the injection sequence metadata to extract sample names and position indices. Scan the sequence to identify samples annotated or marked as QCpool or quality control pool samples. For each detected QCpool, record the injection index, position within sequence, and sequence identifier. Validate that detected QCpool samples occur at regular intervals as specified by study design—this is a critical check that the QC strategy was executed as planned. Compile results into a structured table with columns for sample name, injection index, sequence ID, and interval position for integration into quality assessment pipelines.3536## Related tools3738- **Sciex Multiquant** (Generates and exports the TXT file containing sample metadata and injection sequence that is parsed to locate QCpool samples)39- **QComics** (Downstream package that consumes parsed QCpool annotations and injection sequence metadata for quality assessment and visualization of metabolomics/lipidomics study quality) — https://github.com/ricoderks/QComics4041## Evaluation signals4243- All samples labeled as QCpool in the input file are detected and recorded in the output table with correct injection indices44- Interval validation confirms QCpool samples are spaced at equal or near-equal distances across the sequence (e.g., every N injections as per study design)45- Output table has no missing values in required columns (sample name, injection index, sequence ID, interval position)46- Sequence ID values correctly reflect which analytical run each QCpool belongs to (important for multi-sequence studies)47- Detected deviations from expected regularity (e.g., missing QCpool, uneven spacing) are flagged and reported for manual review4849## Limitations5051- Skill depends on QCpool samples being explicitly annotated or marked in the Sciex Multiquant metadata—ambiguously labeled samples may be missed52- Requires knowledge of the expected QCpool injection interval (study design specification) to validate regularity; the skill can detect spacing but cannot infer the correct interval on its own53- Works only with Sciex Multiquant TXT exports (version > 3.0.3); other vendor formats or software versions are not supported54- No changelog or version history is documented for the QComics package, limiting ability to track changes in expected input/output formats across releases5556## Evidence5758- [intro] a pooled sample (QCpool) needs to be measured in regular intervals during one or more sequences: "a pooled sample (QCpool) needs to be measured in regular intervals during one or more sequences"59- [intro] QCpool samples need to be analysed with Sciex Multiquant (> v3.0.3) software and exported to txt format: "QCpool samples need to be analysed with Sciex Multiquant (> v3.0.3) software and exported to `txt` format"60- [intro] The goal of the QComics package is to have a quick overview of the quality of a metabolomics or lipidomics study: "The goal of the `QComics` package is to have a quick overview of the quality of a metabolomics or lipidomics study"61- [other] workflow describes scanning injection sequence to identify QCpool samples, recording indices and positions, and validating regular intervals: "Scan the injection sequence to identify samples marked or annotated as QCpool or quality control pool samples. Record the injection index, sample position within sequence, and any sequence identifier"
HolobiomicsLab