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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Nature Portfolio
2018
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oai:doaj.org-article:a4b3aba2b6f14c43a70efb62e57462832021-12-02T15:33:59ZMassive mining of publicly available RNA-seq data from human and mouse10.1038/s41467-018-03751-62041-1723https://doaj.org/article/a4b3aba2b6f14c43a70efb62e57462832018-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03751-6https://doaj.org/toc/2041-1723Publicly 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.Alexander LachmannDenis TorreAlexandra B. KeenanKathleen M. JagodnikHoyjin J. LeeLily WangMoshe C. SilversteinAvi Ma’ayanNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018) |
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Science Q Alexander Lachmann Denis Torre Alexandra B. Keenan Kathleen M. Jagodnik Hoyjin J. Lee Lily Wang Moshe C. Silverstein Avi Ma’ayan Massive mining of publicly available RNA-seq data from human and mouse |
description |
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. |
format |
article |
author |
Alexander Lachmann Denis Torre Alexandra B. Keenan Kathleen M. Jagodnik Hoyjin J. Lee Lily Wang Moshe C. Silverstein Avi Ma’ayan |
author_facet |
Alexander Lachmann Denis Torre Alexandra B. Keenan Kathleen M. Jagodnik Hoyjin J. Lee Lily Wang Moshe C. Silverstein Avi Ma’ayan |
author_sort |
Alexander Lachmann |
title |
Massive mining of publicly available RNA-seq data from human and mouse |
title_short |
Massive mining of publicly available RNA-seq data from human and mouse |
title_full |
Massive mining of publicly available RNA-seq data from human and mouse |
title_fullStr |
Massive mining of publicly available RNA-seq data from human and mouse |
title_full_unstemmed |
Massive mining of publicly available RNA-seq data from human and mouse |
title_sort |
massive mining of publicly available rna-seq data from human and mouse |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/a4b3aba2b6f14c43a70efb62e5746283 |
work_keys_str_mv |
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