Penana

Penana

Penana is a bioinformatics tool for analyzing gene expression and comparing patterns across cohorts. It helps researchers explore transcripts and gene sets to gain insights into molecular mechanisms involved in conditions or treatments.
Penana image
gene-expression transcriptomics genomics systems-biology

Penana: Bioinformatics Tool for Gene Expression Analysis

Penana is a bioinformatics tool for analyzing gene expression and comparing patterns across cohorts. It helps researchers explore transcripts and gene sets to gain insights into molecular mechanisms involved in conditions or treatments.

What is Penana?

Penana is an open-source web application designed for visual analysis of RNA sequencing data. It enables researchers to interactively explore gene expression patterns and changes across experimental groups or conditions.

Some key features of Penana include:

  • Interactive visualizations like heatmaps, dot plots, and box plots to compare gene expression profiles
  • Tools to identify differentially expressed genes, gene set enrichment, pathways analysis, clustering, and more
  • Support for uploading your own gene expression datasets from RNA-seq or microarray experiments
  • Visualization of public datasets related to diseases like cancer
  • Intuitive graphical interface to create visualizations without programming or bioinformatics expertise
  • Open-source software that can be installed and run on local servers

Overall, Penana simplifies RNA-seq data analysis for bench biologists. It enables interactive exploration of transcriptomic profiles to gain biological insights into genes and pathways associated with phenotypes, diseases, or other molecular conditions being studied.

Penana Features

Features

  1. Performs differential expression analysis
  2. Enables pathway analysis
  3. Provides visualizations for exploring data
  4. Integrates with TCGA and GEO datasets
  5. Supports bulk and single-cell RNA-seq data

Pricing

  • Free
  • Academic Subscription
  • Commercial Subscription

Pros

User-friendly graphical interface

Automates many analysis steps

Saves time compared to coding workflows

Integrates data from public repositories

Free for academic use

Cons

Limited customization compared to coding

Not open source

Requires upload of private data to cloud platform

Only supports human data

Lacks some advanced analysis methods


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