Massive mining of publicly available RNA-seq data from human and mouse

Massive mining of publicly available RNA-seq data from human and mouse

Publicly available RNA-seq data is provided mostly in raw form, resulting in a barrier for integrative analyses. Here, Lachmann et al. develop a high-throughput processing infrastructure and search database (ARCHS4) that provides processed RNA-seq data for 187,946 publicly available mouse and human...

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Bibliographic Details
Main Authors: Alexander Lachmann, Denis Torre, Alexandra B. Keenan, Kathleen M. Jagodnik, Hoyjin J. Lee, Lily Wang, Moshe C. Silverstein, Avi Ma’ayan
Format: Article
Language:English
Published: Nature Publishing Group 2018-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03751-6
Description
Summary:Publicly available RNA-seq data is provided mostly in raw form, resulting in a barrier for integrative analyses. Here, Lachmann et al. develop a high-throughput processing infrastructure and search database (ARCHS4) that provides processed RNA-seq data for 187,946 publicly available mouse and human samples to support exploration and reuse.
ISSN:2041-1723

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