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/
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/
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