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Lane Summary for Sequencing Sample Sheet

Lane Summary: counts samples per lane so you can balance the flow cell, for a sequencing sample sheet. Paste data, transform instantly, export CSV/JSON — 100% in your browser. For genomics cores.

Paste a sequencing sample sheet and this tool counts samples per lane so you can balance the flow cell, then exports clean CSV or JSON ready for analysis. No upload and no R/Python needed — parsing and computation happen entirely in your browser, so genomics cores keep raw instrument data on the device.

Cleaned output

Sample_IDIndexIndex2Lane\ns1ATGCATGGCCTA1\ns2ATGCATGGCCTA1\ns3TTAAGGCCGGTT1\ns4TTAAGGCCGGTT2

The parser auto-detects comma, tab, semicolon or pipe delimiters. After transforming, copy the CSV or download CSV/JSON for your pipeline. Always sanity-check the result against your raw data.

Indicative planning tool for research operations. Figures are estimates — verify lot data, expiry, calibration and budgets against the original certificates, vendor documentation and your institution's policies.

Free lane summary for sequencing sample sheet: counts samples per lane so you can balance the flow cell, then export CSV/JSON — runs offline in your browser, no upload.

About Lane Summary for Sequencing Sample Sheet

A free, offline data tool for genomics cores. Paste a sequencing sample sheet and this tool counts samples per lane so you can balance the flow cell, then exports clean CSV or JSON ready for analysis. No upload and no R/Python needed — parsing and computation happen entirely in your browser, so genomics cores keep raw instrument data on the device.

How to use Lane Summary for Sequencing Sample Sheet

  1. 1Paste your sequencing sample sheet (or click "Load sample" to see the expected layout).
  2. 2The tool auto-detects the delimiter and counts samples per lane so you can balance the flow cell instantly.
  3. 3Review the output, then copy the CSV or download CSV/JSON for the next step.

Why use Lane Summary for Sequencing Sample Sheet?

  • Purpose-built for a sequencing sample sheet: it counts samples per lane so you can balance the flow cell in one paste — no spreadsheet gymnastics and no code.
  • Runs fully client-side, so raw instrument data never leaves the browser — important for genomics cores handling confidential or pre-publication results.
  • Exports clean CSV or JSON that drops straight into R, Python, Prism, Excel or your LIMS.

Frequently asked questions

What exactly does this tool do to my sequencing sample sheet?+

It counts samples per lane so you can balance the flow cell. You paste the raw export, the parser detects the delimiter (comma, tab, semicolon or pipe), the transform runs, and you see the result plus a one-line summary of what changed. You can then copy the CSV or download CSV/JSON. It is deliberately one well-defined operation so the output is predictable and reproducible.

Is my instrument data uploaded anywhere?+

No. All parsing and computation happen locally in your browser with JavaScript — nothing is sent to a server. That keeps a sequencing sample sheet private, which matters for genomics cores handling unpublished or confidential results, and it means the tool also works offline.

What input and output formats are supported?+

Input can be CSV, TSV, or semicolon/pipe-delimited text copied straight from your instrument software or a spreadsheet — the delimiter is auto-detected. Output is standard RFC-4180 CSV (copy or download) or a JSON array of objects keyed by the header row.

How should I sanity-check the result?+

Spot-check a few rows against your raw file, especially headers and any computed columns. This tool applies a single transform faithfully, but it can't know your specific column quirks — confirm it picked the right columns (e.g. the Cq, OD, area or A260 column) before using the output downstream.

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