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Updated: Feb 4, 2026

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

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MiPanda: A Resource for Analyzing and Visualizing Next-Generation Sequencing Transcriptomics Data.

Yashar S Niknafs¹, Balaji Pandian¹, Tilak Gajjar¹

¹Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.

Neoplasia (New York, N.Y.)

|October 1, 2018

Summary

This summary is machine-generated.

The Michigan Portal for the Analysis of NGS data (MIPANDA) offers open access to gene expression profiles from over 20,000 RNA sequencing samples. This resource aids in identifying tissue- and cancer-specific expression patterns and gene-gene coexpression.

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Last Updated: Feb 4, 2026

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Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA

Published on: May 9, 2011

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

High-throughput RNA sequencing (RNA-seq) generates vast amounts of gene expression data.
Accessing and analyzing large-scale RNA-seq datasets is computationally intensive.
Identifying tissue- and cancer-specific gene expression patterns requires comprehensive data resources.

Purpose of the Study:

To provide an open-access online resource for analyzing RNA sequencing data.
To enable interrogation of gene expression profiles across diverse tissues and cell lines.
To facilitate the identification of tissue- and cancer-specific expression patterns and gene-gene coexpression.

Main Methods:

Development of the Michigan Portal for the Analysis of NGS data (MIPANDA) portal.
Large-scale computational analysis of thousands of high-throughput RNA-seq samples.
Curating and providing access to gene expression profiles and coexpression data.

Main Results:

MIPANDA provides access to gene expression profiles from over 20,000 RNA-seq samples.
Users can interrogate gene expression across normal and cancer tissues and cell lines.
Tissue- and cancer-specific expression patterns and gene-gene coexpression profiles are identifiable.

Conclusions:

MIPANDA serves as a valuable open-access resource for the scientific community.
The portal facilitates the discovery of gene expression insights from large-scale RNA-seq data.
The resource will be continually updated with new data and analyses.