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

Autor:	Niknafs YS; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Pandian B; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Gajjar T; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Gaudette Z; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Wheelock K; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Maz MP; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Achar RK; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Song M; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Massaro C; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Cao X; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA., Chinnaiyan AM; 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.
Jazyk:	angličtina
Zdroj:	Neoplasia (New York, N.Y.) [Neoplasia] 2018 Nov; Vol. 20 (11), pp. 1144-1149. Date of Electronic Publication: 2018 Sep 27.
DOI:	10.1016/j.neo.2018.09.001
Abstrakt:	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. (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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