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

Yashar S Niknafs; Balaji Pandian; Tilak Gajjar; Zach Gaudette; Kevin Wheelock; Mitra P Maz; Rohan K Achar; Melinda Song; Cory Massaro; Xuhong Cao; Arul M Chinnaiyan

doi:10.1016/j.neo.2018.09.001

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

Neoplasia. 2018 Nov;20(11):1144-1149. doi: 10.1016/j.neo.2018.09.001. Epub 2018 Sep 27.

Authors

Affiliations

¹ Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
² Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan, Ann Arbor, MI, USA. Electronic address: arul@med.umich.edu.

Abstract

The Michigan Portal for the Analysis of NGS data portal (http://mipanda.org) is an open-access online resource that provides the scientific community with access to the results of a large-scale computational analysis of thousands of high-throughput RNA sequencing (RNA-seq) samples. The portal provides access to gene expression profiles, enabling users to interrogate expression of genes across myriad normal and cancer tissues and cell lines. From these data, tissue- and cancer-specific expression patterns can be identified. Gene-gene coexpression profiles can also be interrogated. The current portal contains data for over 20,000 RNA-seq samples and will be continually updated.

MeSH terms

Computational Biology / methods*
High-Throughput Nucleotide Sequencing*
Humans
Sequence Analysis, DNA / methods*
Software*
Transcriptome*

Abstract

MeSH terms

Grants and funding