IonTorrentRunAcceptanceChecker

Ion Torrent Run Acceptance

Liquid Biopsy жидкостная биопсия cfDNA ctDNA CTC exosomes NGS qPCR
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Utility description: Ion Torrent Run Acceptance

Ion Torrent Run Acceptance Checker — Ion Torrent Sequencing Run Quality Control

ℹ️  Utility performs comprehensive quality verification of Ion Torrent platform runs according to CAP/CLIA, FDA NGS guidance and Thermo Fisher specifications:
     • ISP Density: Ion Sphere Particle density per mm² — indicator of correct chip loading.
     • Polyclonal Rate: Percentage of wells with multiple ISPs — key template preparation quality metric.
     • AQ20 Bases: Number of bases with quality ≥Q20 — measure of useful sequencing output.
     • Uniformity: Coverage evenness across target regions — critical for amplicon-type panels.
     • On-Target Rate: Fraction of reads mapping to target regions — enrichment efficiency.
     • Raw Accuracy: Base calling accuracy — indicator of chemistry and chip condition.
     • Control Sequence & Phasing: Built-in run integrity controls.

⚠️  IMPORTANT: 
     • Ion Torrent has unique error profile: homopolymer indels constitute >60% of all errors.
     • Polyclonality >30% irreversibly degrades data quality and cannot be compensated by depth.
     • Chip overloading (ISP density > max) causes cascading degradation of all metrics.
     • AQ20 is more relevant metric for Ion Torrent than Q30 due to technology specifics.

Usage:
  IonTorrentRunAcceptanceChecker.exe                            → demo mode (console output)
  IonTorrentRunAcceptanceChecker.exe input.csv output.json      → evaluate your data

Input format:
RunID,ChipType,PanelName,ISP_Density_K_mm2,MinISP_Density,MaxISP_Density,Polyclonal_Percent,MaxPolyclonal_Percent,AQ20_Bases_Million,MinAQ20_Bases_Million,Mean_Read_Length_bp,MinMeanReadLength_bp,Uniformity_Percent,MinUniformity_Percent,Duplication_Rate_Percent,MaxDuplication_Rate_Percent,On_Target_Rate_Percent,MinOnTarget_Rate_Percent,Raw_Accuracy_Percent,MinRawAccuracy_Percent,Total_Reads_Million,MinTotal_Reads_Million,ControlSequence_Pass,Phasing_Score,MaxPhasing_Score

Example:
  ION-001,530,OCAv3,680,200,1200,18.5,30,2800,500,185,100,92.5,80,15.2,40,88,70,99.4,98.5,12,5,true,0.8,1.5

📍 Scope of Application (Usage Where):
     • Clinical NGS Laboratories: Mandatory acceptance of every run before analysis.
     • Oncology Diagnostics: QC of Oncomine, AmpliSeq Cancer Hotspot panels.
     • Hereditary Oncology: Control of BRCA/Lynch syndrome panels.
     • Assay Developers: Loading parameter optimization for new panels.

— WHY IS THIS NEEDED?
Ion Torrent requires specific QC thresholds distinct from Illumina.
Standard metrics (Q30, cluster density) are inapplicable or insufficient.
Without platform-specific QC, poor-quality runs enter analysis, generating false variants.
Automated acceptance eliminates subjectivity and ensures reproducibility between operators.

⚠️  CRITICAL:
• ISP Density: Outside range = chip loading issue. Reload or new chip required.
• Polyclonal ≤30%: Exceedance = template dilution or ISP degradation.
• AQ20 ≥ Min: Below threshold = insufficient data for reliable variant calling.
• Uniformity ≥80%: For amplicon panels below 80% = primer or PCR issues.
• Control Sequence = Pass: Failure = systemic error, entire run invalid.
• Raw Accuracy ≥98.5%: Below = chemistry degradation or worn chip.

Key features:
• Seven-parameter Ion Torrent run quality assessment
• Adaptive thresholds per chip type (510/520/530/540/550/Proton)
• Integration of physical and bioinformatic metrics
• Three-tier classification (Accepted / Review Required / Rejected)
• Compliance with CAP Molecular Pathology Checklist

Critical parameters:
• ISP Density: Within chip-specific range
• Polyclonal Rate: ≤ 30%
• AQ20 Bases: ≥ Panel-specific minimum
• Uniformity: ≥ 80%
• On-Target Rate: ≥ 70%
• Raw Accuracy: ≥ 98.5%
• Control Sequence: Pass

💡 Usage tips:
1. Template Dilution: Titrate template to achieve optimal ISP density and polyclonality.
2. Chip Handling: Strictly follow loading protocol; air bubbles reduce uniformity.
3. Chemistry Freshness: Use fresh reagents; degradation reduces accuracy and AQ20.
4. Panel-Specific Thresholds: Customize limits per panel and chip type.
5. Trend Monitoring: Track metric drift for predictive instrument maintenance.

⚠️ Note: This utility assesses RUN QUALITY, not clinical validity of results. Bioinformatics analysis and variant interpretation require separate validation procedures. The utility serves as the first QC barrier in the Ion Torrent pipeline.

input.csv

RunID,ChipType,PanelName,ISP_Density_K_mm2,MinISP_Density,MaxISP_Density,Polyclonal_Percent,MaxPolyclonal_Percent,AQ20_Bases_Million,MinAQ20_Bases_Million,Mean_Read_Length_bp,MinMeanReadLength_bp,Uniformity_Percent,MinUniformity_Percent,Duplication_Rate_Percent,MaxDuplication_Rate_Percent,On_Target_Rate_Percent,MinOnTarget_Rate_Percent,Raw_Accuracy_Percent,MinRawAccuracy_Percent,Total_Reads_Million,MinTotal_Reads_Million,ControlSequence_Pass,Phasing_Score,MaxPhasing_Score
ION-2026-RUN-001,530,Oncomine Comprehensive Assay v3,680,200,1200,18.5,30.0,2800,500,185,100,92.5,80.0,15.2,40.0,88.0,70.0,99.4,98.5,12,5,true,0.8,1.5
ION-2026-RUN-002,520,AmpliSeq Cancer Hotspot v2,1350,200,1200,42.0,30.0,380,500,142,100,65.0,80.0,55.0,40.0,58.0,70.0,97.8,98.5,4,5,false,2.1,1.5
ION-2026-RUN-003,510,BRCA1/2 Panel,450,200,1200,28.0,30.0,620,500,165,100,82.0,80.0,35.0,40.0,75.0,70.0,99.1,98.5,6,5,true,1.2,1.5

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of IonTorrentRunAcceptanceChecker for Ion Torrent Run Acceptance Checker.

Domain limits and critical parameters

Key fragments from the source description are shown below. Before production use, limits must be verified against the approved specification, registration dossier and local SOPs.
  • • AQ20 Bases: Number of bases with quality ≥Q20 — measure of useful sequencing output.
  • • Uniformity: Coverage evenness across target regions — critical for amplicon-type panels.
  • • On-Target Rate: Fraction of reads mapping to target regions — enrichment efficiency.
  • • Ion Torrent has unique error profile: homopolymer indels constitute >60% of all errors.
  • • Polyclonality >30% irreversibly degrades data quality and cannot be compensated by depth.
  • • Chip overloading (ISP density > max) causes cascading degradation of all metrics.
  • ⚠️ CRITICAL:
  • • Polyclonal ≤30%: Exceedance = template dilution or ISP degradation.
  • • AQ20 ≥ Min: Below threshold = insufficient data for reliable variant calling.
  • • Uniformity ≥80%: For amplicon panels below 80% = primer or PCR issues.
  • • Raw Accuracy ≥98.5%: Below = chemistry degradation or worn chip.
  • Critical parameters:
  • • Polyclonal Rate: ≤ 30%
  • • AQ20 Bases: ≥ Panel-specific minimum
  • • Uniformity: ≥ 80%
  • • On-Target Rate: ≥ 70%
  • • Raw Accuracy: ≥ 98.5%
  • 4. Panel-Specific Thresholds: Customize limits per panel and chip type.

URS — User Requirements Specification

IDRequirementCriticalityAcceptance criterion
URS-001The utility shall accept an input.csv file for Ion Torrent Run Acceptance Checker with headers defined in the data contract.HighThe file is processed without manual header editing.
URS-002The utility shall perform deterministic QC evaluation without machine learning and without probabilistic conformance decisions.HighIdentical input data, rule version and configuration produce reproducible results.
URS-003The utility shall validate mandatory fields, data types, ranges, units and domain plausibility.HighSchema, conversion and range errors are explicitly reported.
URS-004The utility shall apply domain limits and rules from the description, approved specification, registration dossier and local SOPs.HighEach check has PASS/WARNING/FAIL and a clear message.
URS-005The utility shall generate output.json with machine-readable results, source values, warnings, failures and critical findings.HighJSON is suitable for LIMS/ELN/MES integration and QA/QC review.
URS-006The utility shall preserve traceability between batch/sample, input file, applied rules and final status.HighOutput contains identifiers, checked parameters and audit metadata.
URS-007The documentation shall support IQ/OQ/PQ, CSV/CSA and review by internal QA or inspectors.MediumURS, FS, input/output contract and test scenarios are supplied with the utility.
URS-008The utility shall be used as a QC decision-support tool and not as a substitute for approved specifications and QA/QP release decision.MediumDocumentation states change control and limit-verification expectations.

input.csv contract

#FieldTypeSamplePurpose
1RunIDstring / controlled vocabularyION-2026-RUN-001Controlled input parameter for deterministic QC rules.
2ChipTypestring / controlled vocabulary530Controlled input parameter for deterministic QC rules.
3PanelNamestring / controlled vocabularyOncomine Comprehensive Assay v3Controlled input parameter for deterministic QC rules.
4ISP_Density_K_mm2decimal680Controlled input parameter for deterministic QC rules.
5MinISP_Densitydecimal200Controlled input parameter for deterministic QC rules.
6MaxISP_Densitydecimal1200Controlled input parameter for deterministic QC rules.
7Polyclonal_Percentdecimal18.5Controlled input parameter for deterministic QC rules.
8MaxPolyclonal_Percentdecimal30.0Controlled input parameter for deterministic QC rules.
9AQ20_Bases_Millioninteger / decimal2800Controlled input parameter for deterministic QC rules.
10MinAQ20_Bases_Millioninteger / decimal500Controlled input parameter for deterministic QC rules.
11Mean_Read_Length_bpdecimal185Controlled input parameter for deterministic QC rules.
12MinMeanReadLength_bpdecimal100Controlled input parameter for deterministic QC rules.
13Uniformity_Percentdecimal92.5Controlled input parameter for deterministic QC rules.
14MinUniformity_Percentdecimal80.0Controlled input parameter for deterministic QC rules.
15Duplication_Rate_Percentdecimal15.2Controlled input parameter for deterministic QC rules.
16MaxDuplication_Rate_Percentdecimal40.0Controlled input parameter for deterministic QC rules.
17On_Target_Rate_Percentdecimal88.0Controlled input parameter for deterministic QC rules.
18MinOnTarget_Rate_Percentdecimal70.0Controlled input parameter for deterministic QC rules.
19Raw_Accuracy_Percentdecimal99.4Controlled input parameter for deterministic QC rules.
20MinRawAccuracy_Percentdecimal98.5Controlled input parameter for deterministic QC rules.
21Total_Reads_Millioninteger / decimal12Controlled input parameter for deterministic QC rules.
22MinTotal_Reads_Millioninteger / decimal5Controlled input parameter for deterministic QC rules.
23ControlSequence_Passstring / controlled vocabularytrueControl point/control sample for assay run validity.
24Phasing_Scoredecimal0.8pH; parameter relevant to stability, compatibility and batch suitability.
25MaxPhasing_Scoredecimal1.5pH; parameter relevant to stability, compatibility and batch suitability.
RunID,ChipType,PanelName,ISP_Density_K_mm2,MinISP_Density,MaxISP_Density,Polyclonal_Percent,MaxPolyclonal_Percent,AQ20_Bases_Million,MinAQ20_Bases_Million,Mean_Read_Length_bp,MinMeanReadLength_bp,Uniformity_Percent,MinUniformity_Percent,Duplication_Rate_Percent,MaxDuplication_Rate_Percent,On_Target_Rate_Percent,MinOnTarget_Rate_Percent,Raw_Accuracy_Percent,MinRawAccuracy_Percent,Total_Reads_Million,MinTotal_Reads_Million,ControlSequence_Pass,Phasing_Score,MaxPhasing_Score
ION-2026-RUN-001,530,Oncomine Comprehensive Assay v3,680,200,1200,18.5,30.0,2800,500,185,100,92.5,80.0,15.2,40.0,88.0,70.0,99.4,98.5,12,5,true,0.8,1.5
ION-2026-RUN-002,520,AmpliSeq Cancer Hotspot v2,1350,200,1200,42.0,30.0,380,500,142,100,65.0,80.0,55.0,40.0,58.0,70.0,97.8,98.5,4,5,false,2.1,1.5
ION-2026-RUN-003,510,BRCA1/2 Panel,450,200,1200,28.0,30.0,620,500,165,100,82.0,80.0,35.0,40.0,75.0,70.0,99.1,98.5,6,5,true,1.2,1.5

Input validation rules

IDFieldRuleCriticality
VR-001RunIDThe field shall match an approved dictionary or accepted string representation.High
VR-002ChipTypeThe field shall match an approved dictionary or accepted string representation.High
VR-003PanelNameThe field shall match an approved dictionary or accepted string representation.High
VR-004ISP_Density_K_mm2The field shall match an approved dictionary or accepted string representation.Medium
VR-005MinISP_DensityThe field shall match an approved dictionary or accepted string representation.Medium
VR-006MaxISP_DensityThe field shall match an approved dictionary or accepted string representation.Medium
VR-007Polyclonal_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-008MaxPolyclonal_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-009AQ20_Bases_MillionThe field shall match an approved dictionary or accepted string representation.Medium
VR-010MinAQ20_Bases_MillionThe field shall match an approved dictionary or accepted string representation.Medium
VR-011Mean_Read_Length_bpThe field shall match an approved dictionary or accepted string representation.Medium
VR-012MinMeanReadLength_bpThe field shall match an approved dictionary or accepted string representation.Medium
VR-013Uniformity_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-014MinUniformity_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-015Duplication_Rate_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-016MaxDuplication_Rate_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-017On_Target_Rate_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-018MinOnTarget_Rate_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-019Raw_Accuracy_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-020MinRawAccuracy_PercentThe field shall match an approved dictionary or accepted string representation.Medium
VR-021Total_Reads_MillionThe field shall match an approved dictionary or accepted string representation.Medium
VR-022MinTotal_Reads_MillionThe field shall match an approved dictionary or accepted string representation.Medium
VR-023ControlSequence_PassThe field shall match an approved dictionary or accepted string representation.Medium
VR-024Phasing_ScoreThe field shall match an approved dictionary or accepted string representation.Medium
VR-025MaxPhasing_ScoreThe field shall match an approved dictionary or accepted string representation.Medium

FS — Functional Specification

IDFunctionImplementation
FS-001CLI executionSupport execution modes: demo mode without arguments and production mode input.csv output.json.
FS-002CSV importRead input.csv in UTF-8/CSV-compatible format and validate header and expected columns.
FS-003Schema validationCheck mandatory fields, column count, unknown key fields and empty mandatory values.
FS-004Type conversionConvert numeric, flag and text values; invalid format is recorded as a row-level error.
FS-005Domain rule engineApply rules for Ion Torrent Run Acceptance Checker, including critical limits from the description and approved specification.
FS-006Status aggregationProduce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-007JSON exportWrite output.json with detailed checks, source values, warnings, failures and critical findings.
FS-008Audit supportKeep result structure suitable for review, deviation investigation and calculation reproduction.
FS-009Integration contractSupport the scenario LIMS/ELN/MES → input.csv → utility → output.json → portal/admin review.
FS-010Error handlingReturn explicit messages for missing file, empty CSV, invalid schema, output write failure and invalid format.

Example output.json

{
  "utilityId": "iontorrentrunacceptancechecker",
  "utilityFolder": "IonTorrentRunAcceptanceChecker",
  "package": "LiquidBiopsy",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "processedAtUtc": "2026-06-10T00:00:00Z",
  "checks": [
    {
      "parameter": "RunID",
      "value": "ION-2026-RUN-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-001"
    },
    {
      "parameter": "ChipType",
      "value": "530",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "PanelName",
      "value": "Oncomine Comprehensive Assay v3",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "ISP_Density_K_mm2",
      "value": "680",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "MinISP_Density",
      "value": "200",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "MaxISP_Density",
      "value": "1200",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "Polyclonal_Percent",
      "value": "18.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "MaxPolyclonal_Percent",
      "value": "30.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    },
    {
      "parameter": "AQ20_Bases_Million",
      "value": "2800",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-009"
    },
    {
      "parameter": "MinAQ20_Bases_Million",
      "value": "500",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-010"
    },
    {
      "parameter": "Mean_Read_Length_bp",
      "value": "185",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-011"
    },
    {
      "parameter": "MinMeanReadLength_bp",
      "value": "100",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-012"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "audit": {
    "inputHash": "sha256:<calculated at runtime>",
    "rulesVersion": "<utility executable version>",
    "documentation": "IonTorrentRunAcceptanceChecker.documentation.html"
  }
}

Traceability matrix

URSFSTestEvidence
URS-001FS-001, FS-002OQ-001Verify execution and import of valid input.csv.
URS-002FS-005, FS-006OQ-004Repeat the same dataset and compare output.json.
URS-003FS-003, FS-004, FS-010OQ-002, OQ-003Verify missing columns and invalid types.
URS-004FS-005, FS-006OQ-004, PQ-001Verify critical deviations on real/boundary data.
URS-005FS-007, FS-009OQ-005Verify JSON schema and downstream-system suitability.
URS-006FS-008OQ-006Verify identifiers and audit metadata.
URS-007FS-008, FS-010IQ-001, OQ-007Verify documentation completeness and control evidence.
URS-008FS-005, FS-008PQ-002Verify review workflow and no replacement of QA decision.

IQ/OQ/PQ test scenarios

IDScenarioExpected result
IQ-001Verify executable, input.csv, documentation and checksum availability.Delivery set is complete; version is recorded.
OQ-001Valid sample row from input.csv.PASS or acceptable WARNING according to rules.
OQ-002Remove a mandatory CSV column.Schema error or FAIL with missing-column reference.
OQ-003Place a non-numeric value into a numeric field.Type-conversion error with row/field reference.
OQ-004Set a critical parameter outside the limit.FAIL and critical finding.
OQ-005Verify output.json structure.All mandatory sections are present and JSON is valid.
OQ-006Verify batch/sample traceability.Input and result identifiers match.
PQ-001Verify 3–5 real user batches/samples.Result is confirmed by QC/QA review.
PQ-002Verify deviation workflow and manual QA decision.Utility supports review but does not replace approved decision.

QA/QC and change control

  • Do not rename columns without updating validator, documentation and test set.
  • Retain input.csv, output.json, executable version and checksum.
  • Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
  • Critical limits shall be verified against the approved specification, registration dossier and local SOPs.
  • The utility provides structured QC decision support; final release decision remains with QA/QP and approved procedures.

Included in packages

Liquid Biopsy QC Suite

QC and pre-analytical control package for liquid biopsy workflows: cfDNA/ctDNA, CTC, EV/exosomes, methylation, NGS/qPCR/ddPCR, sample quality, contamination, sensitivity and reporting checks.

Open