Quality Systems in Proteomics — QC Standards and Audits — Hands-on

Learn how to think about quality systems in proteomics from a lab and data lifecycle perspective. This module introduces conceptual QC strategy, system suitability and monitoring, documentation and traceability ideas, and how audits and continuous improvement keep proteomics pipelines fit for purpose and aligned with standards and accreditation expectations.

Quality Systems in Proteomics — QC Standards and Audits

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Session Index

Session 1 — Quality Systems Foundations & Vocabulary Session 2 — Method QC, System Suitability & Monitoring Session 3 — Data Quality, Traceability & Documentation Session 4 — Audits, Risk & Continuous Improvement

Session 1

Fee: Rs 8800

Quality Systems Foundations & Vocabulary

What quality systems mean in proteomics labs

fitness for purpose concept process vs result quality risk based thinking overview

Standards, guidelines and accreditation frameworks (high level)

ISO and laboratory standards concepts research vs clinical style expectations policies, SOPs and records vocabulary

Roles, responsibilities and quality culture in teams

ownership of methods and instruments training and competency ideas communication loops around issues

Session 2

Fee: Rs 11800

Method QC, System Suitability & Monitoring

QC samples and controls across the proteomics workflow

blanks, standards and reference digests spike ins and internal standards ideas placement of QC in runs conceptually

System suitability and instrument health indicators (conceptual)

retention time stability thinking mass accuracy and resolution patterns ID rate and signal intensity trends

Monitoring QC with charts and rules at a high level

trend charts and basic rules concepts flags vs hard stops thinking documenting issues and responses

Session 3

Fee: Rs 14800

Data Quality, Traceability & Documentation

Sample and data traceability ideas

sample identifiers and metadata basics chain of custody concepts linking raw, processed and reported layers

Documenting methods, changes and deviations clearly

SOP and work instruction ideas change control at conceptual level deviation and nonconformance notes

Reproducible analysis and audit trails for data workflows

versioned pipelines and parameters thinking logging of runs and key decisions archiving inputs and outputs overview

Session 4

Fee: Rs 18800

Audits, Risk & Continuous Improvement

Internal and external audits at a conceptual level

theory plus mock audit worksheet

Risk assessment and corrective action thinking

identifying failure modes and impact prioritizing and documenting actions follow up and effectiveness checks

Designing a simple quality plan for a proteomics workflow

checklists and study specific QC plans linking QC, documentation and reporting continuous improvement cycle concept

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Quality Systems in Proteomics — QC Standards and Audits Training | QC Strategy, Monitoring & Audits

Quality Systems in Proteomics — QC Standards and Audits — Hands-on