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PyDESeq2 — Vecura

PyDESeq2

PyDESeq2 is a Python re-implementation of the DESeq2 method for differential expression analysis (DEA) of bulk RNA-seq count data.

Job Name

Count Matrix (CSV)*

Sample Metadata (CSV)*

Contrast*

Design Formula*

Reference Level

Alpha

LFC Shrinkage

Replaces raw LFC/SE with shrunken values (recommended for visualization).

Fit Type*

Size Factors Fit Type*

Refit Cooks Outliers

Default: enabled. Disable for speed on clean datasets.

Min Replicates

Beta Tolerance

Cooks Filter

Default: enabled.

Independent Filtering

Default: enabled.

LFC Null Hypothesis

log2

Alternative Hypothesis

CPU Cores

cores

Results

Configure input settings on the left, then click "Run"