WET Lab and Bioinformatics Integration for NGS Labs A sequencing run can finish on time and still leave a lab unable to say which patient sample produced which output. The reason is that the WET lab, LIMS, sequencing metadata, and bioinformatics team each hold only part of the record. This NonStop guide explains how a shared data model links specimens, plate and well positions, barcodes, run IDs, QC events, and pipeline inputs. It also covers treating re-pools, index corrections, and QC overrides as tracked workflow events. Read more: https://nonstopio.com/blogs/wet-lab-and-bioinformatics-integration-for-ngs-labs/

In-House vs. Outsourced Bioinformatics Engineering For clinical labs and genomics companies, the real question is not hiring versus outsourcing but which responsibilities must stay internal. This article compares in-house, outsourced, and hybrid operating models. It offers a 100-point decision scorecard for CTOs and lab directors. It also lists the evidence a lab should insist on regardless of model, such as code ownership, version traceability, validation, and deployment controls. Read more: https://nonstopio.com/blogs/in-house-vs-outsourced-bioinformatics-engineering/

How to Build a Traceable Genomics Laboratory Workflow Genomics labs struggle as volume grows because clinical context and review controls get lost between systems. This post walks through a request-to-report workflow: structured requisition intake, LIS/EHR order validation, variant review with audit trails, and controlled report release. It also suggests practical metrics for measuring workflow improvement without overclaiming results. Read more: https://nonstopio.com/blogs/traceable-genomics-laboratory-workflow/

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