BGPT: Create Graphs: Plot Swi6 Kd and ChIP patterns

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Create Graphs: Plot Swi6 Kd and ChIP patterns

I can plot Swi6 Kd and ChIP patterns only if I have the actual numeric values (e.g., timepoints/positions vs signal, replicate counts, Kd estimates with units and error bars, and what “pattern” refers to: enrichment peaks, ChIP-qPCR fold-change, ChIP-seq tracks, etc.).

Right now, no raw Swi6 Kd dataset or ChIP dataset (table/fig values) was provided in your message, so I cannot legally/rigorously render graphs without inventing data.

What I need from you (choose one route)

Route A (best): Upload or paste raw data tables

Swi6 Kd: values (Kd), units (e.g., nM), and uncertainty (SD/SEM/CI) plus conditions (buffer/salt, temperature, DNA/protein construct, binding site).
ChIP pattern: either (i) ChIP-seq coverage/track values across genomic bins or (ii) ChIP-qPCR at defined loci/timepoints with fold-change vs input/WT/control.
Replicates: n, and whether error bars are SD/SEM/CI.

Route B: Tell me the exact paper(s) / experiment(s)

Paste DOI(s) or full citation(s) for the Swi6 Kd and ChIP experiments you mean.
Tell me which figure panels correspond to Kd and which correspond to ChIP (and whether it’s Swi6 ChIP, histone marks, or another factor’s ChIP).

Route C: Confirm the intended “ChIP pattern” type

ChIP-seq (genome-wide signal tracks / peak profiles) vs ChIP-qPCR (fold-change vs loci/time).
Profile x-axis: genomic coordinate, distance from peak, loci order, or timepoint.

Ready-to-run plot workflow (once data is available)

I will generate (at minimum):

Swi6 Kd: point plot (Kd with error bars) and optional log-scale x-axis if units span orders of magnitude.
ChIP pattern: line plot or heatmap/profile plot with replicates shown or summarized (with explicit definition of normalization).
Cross-plot (optional): if multiple conditions are available, correlate Kd vs ChIP enrichment under matched conditions.

Note: I will not synthesize/approximate missing points from figures; I will use only your provided raw numbers or values extracted from full-text sources.

This will iteratively search for the specific raw Swi6 Kd and ChIP datasets (from full-text where available), extract numeric values, and then render the Plotly graphs.

Useful BGPT deep-dives (optional)

Feedback:

Updated: March 30, 2026

Keep Exploring

Which exact Swi6 Kd measurement (protein construct, DNA target, buffer, temperature) and which ChIP assay (qPCR vs ChIP-seq, normalization) do you want paired in the plots?

Do you want ChIP enrichment plotted as fold-change vs input, vs WT, or as absolute read coverage (and over what genomic windows)?

Analysis Wizard

Not provided yet: once Kd and ChIP raw tables are available, code will parse values/replicates, compute summaries (mean±CI/SD), and render publication-ready Plotly figures with consistent axes and normalization.

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Discussion

BGPT Bias

I avoid inventing or “digitizing-by-guessing” data when raw numeric values are missing, prioritizing rigor over visual completeness.

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