Wet-lab / NGS Validation
NGS Pool Representation QC Analyzer
Compare designed-library rows with read counts to flag dropout, zero-count oligos, Gini skew, CV, and fold representation.
Workflow role: run this step inside the design, QC, representation, and vendor-prep chain rather than treating one result as order approval.
Boundary: This accepts designed-library and read-count CSV tables. FASTQ parsing, alignment, barcode extraction, and final go/no-go sign-off are intentionally out of scope.
Privacy: Calculations run in your browser by default. Dashboard History can store the full input snapshot when auto-save, session, or account history is enabled; Library saves and membership/API workflows can send sequence assets by design.
Handoff: use the Oligo Pool Guide, Batch QC, Vendor Adapter, and QC templates after results.
Input
Use the starter rows to see the input shape, then replace them with your own design rows.
CSV columns: ID, Sequence.
CSV columns: ID, Count. FASTQ parsing is intentionally out of scope for this browser MVP.
Results
Method, Example, and Limits
Method basis
- Designed-library row matching against normalized read-count tables.
- Dropout, zero-count, coefficient of variation, and fold-representation summaries.
- Gini-style skew interpretation for pool representation review.
Example input
A designed oligo list with IDs and a read-count table after barcode extraction or alignment.
How to read the result
Start with zero-count and low-representation rows, then inspect CV and skew. Severe dropout should be reviewed with library prep and sequencing depth context.
Not a substitute for
It does not parse FASTQ files, align reads, call variants, or certify final library performance.