Analyses

The "Analysis" model in Pluto is a configurable recipe for running a bioinformatics pipeline

10 articles in this collection
Written by Rani Powers, PhD, MacKenzie Demmel, and Andrew Goodspeed

Differential expression analysis

Compare genome-wide gene expression profiles across two groups

Written by Rani Powers, PhD
Updated over a week ago

Longitudinal analysis

Analyze data collected across repeated measures in one or more groups

Written by Rani Powers, PhD
Updated over a week ago

Adding comparisons for gene set enrichment analysis

Run differential expression to create a comparison for GSEA

Written by Rani Powers, PhD
Updated over a week ago

Gene set enrichment analysis (GSEA)

Calculate enrichment scores for gene sets from the MSigDB

Written by Andrew Goodspeed
Updated over a week ago

Summary analysis (CPM-normalized)

Use counts per million (CPM) normalization for assay data measuring raw counts

Written by Rani Powers, PhD
Updated over a week ago

Peak analysis

Analyze peaks across the whole genome

Written by Rani Powers, PhD
Updated over a week ago

Principal components analysis (PCA)

Use PCA dimensionality reduction

Written by MacKenzie Demmel
Updated over a week ago

Survival analysis

Overview of data formatting and methods for survival analysis

Written by Andrew Goodspeed
Updated over a week ago

Images

Upload images to be analyzed alongside your interactive plots

Written by MacKenzie Demmel
Updated over a week ago

Change log: Analyses

Version updates to Pluto's out-of-the-box analyses

Written by Rani Powers, PhD
Updated over a week ago