Use DEAnalysis

Official Neurosnap webserver for accessing DEAnalysis online.

Overview

A Differential Expression Analysis pipeline configured for two-condition differential expression experiments. Identifies differentially expressed genes (DEGs) through user-set thresholds of adjusted P-values and Fold Change. Displays transcripts in a volcano plot, DEGs in a heatmap, and a chart with gene ontology scans of DEGs.

Neurosnap Overview

The DEAnalysis online webserver allows anybody with a Neurosnap account to run and access DEAnalysis, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong terms of service and privacy policy.

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Features

  • Volcano Plot of transcripts.
  • Heatmap of Differentially Expressing Genes.
  • Gene Ontology scans.

Statistics

Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.

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API Request

Access DEAnalysis using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.

Job Note

Provide a name or description for your job to help you organize and track its results. This input is solely for organizational purposes and does not impact the outcome of the job.

Configuration & Options

Service Inputs

Allowed Types: xlsx
The raw reads of transcripts from your differential expression experiment. This should be a count matrix of shape 'number of samples' x 'number of genes', containing read counts as non-negative integers. This spreadsheet must have sample names such as 'SRR975562' as column headers and rows indexed by gene names as Ensembl IDs.

Allowed Types: xlsx
The metadata of your differential expression experiment. This serves as a map between samples and their treatments. Metadata of shape 'number of samples' x 'number of variables', containing sample annotations that will be used. This spreadsheet must have the sample names in one column and the 'Condition' in another.

The name of the column that contains your experimental conditions. There should be at least two different conditions in this column.

The cutoff for the absolute value of Log2(Fold Change) to determine if a gene is differentially expressing. A common value for this is 1, meaning that the gene is 2-fold up or down regulated.

The cutoff for Adjusted P-Value to determine if a gene is differentially expressing. A common value for this is 0.05.

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