Integrated analysis of a compendium of RNA-Seq datasets for splicing factors

A vast amount of public RNA-sequencing datasets have been generated and used widely to study transcriptome mechanisms. These data offer precious opportunity for advancing biological research in transcriptome studies such as alternative splicing. We report the first large-scale integrated analysis of...

詳細記述

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書誌詳細
出版年:Sci Data
主要な著者: Yu, Peng, Li, Jin, Deng, Su-Ping, Zhang, Feiran, Grozdanov, Petar N., Chin, Eunice W. M., Martin, Sheree D., Vergnes, Laurent, Islam, M. Saharul, Sun, Deqiang, LaSalle, Janine M., McGee, Sean L., Goh, Eyleen, MacDonald, Clinton C., Jin, Peng
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2020
主題:
Analysis
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7297722/
https://ncbi.nlm.nih.gov/pubmed/32546682
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-020-0514-7
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