BGPT: Create Graphs: ENU screen pipeline zebrafish seizure resistance counts

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Create Graphs: ENU screen pipeline → zebrafish seizure-resistance counts

Blocker (data needed to draw graphs): your request specifies a graphing target, but no raw counts (or files with those counts) were provided for the ENU pipeline and zebrafish seizure-resistance readout.

I therefore cannot lawfully “create graphs” of the seizure-resistance counts yet without either:

a table/CSV you upload that includes the per-line/per-group seizure-resistance counts, or
at least the exact numbers you want plotted (including denominators, e.g., number tested per mutant line/group).

What I need from you (minimal, unambiguous)

Please provide one of the following:

Upload a CSV/TSV containing columns like: ENU_line (or mutant ID), tested_n, seizure_resistant_n (and optionally seizure_susceptible_n), plus any grouping variables (e.g., dosage/replicate/batch).
Or paste the counts as text in the same structure.

If your assay reports a score or a threshold-defined classification (e.g., “resistant if score ≤ X”), tell me the exact rule and threshold.

Once counts are provided, I will generate (ready-to-interpret) graphs

Graph 1 (core): Bar chart of seizure-resistant proportion per ENU line/group with denominator-aware labeling.
Graph 2: Scatter/strip plot of resistant_n vs tested_n (optionally colored by replicate/batch).
Graph 3 (pipeline framing): Funnel-like “pipeline retention” plot if you have intermediate stages (e.g., screened → phenotyped → classified).
Graph 4: Distribution of proportions (histogram/violin) across lines.

No simulated data will be used; every point/bar will be computed directly from your uploaded/pasted raw counts.

Upload button (recommended)

Click Upload Files in BGPT, then provide the ENU screen output counts table (CSV/TSV). After that, I will render the Plotly graphs.

This will iteratively extract/organize whatever raw counts you have available in-session, then render the seizure-resistance count graphs once the needed numeric fields are identified.

Feedback:

Updated: April 16, 2026

Keep Exploring

What exact classification rule defines “seizure resistance” in your ENU screen (threshold, time window, scoring scale), and does the raw dataset include the underlying continuous score?

Do you have intermediate pipeline stages (screened → validated → phenotyped → classified) so that a pipeline retention graph can be computed without guessing?

Are replicates/batches present, and do you want graphs aggregated across them or shown separately to detect batch effects?

Analysis Wizard

This code will validate the uploaded counts table, compute seizure-resistance proportions per ENU group, attach confidence intervals from the provided denominators, and output Plotly-ready series for rendering graphs.

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Discussion

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