microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions

AGO-PAR-CLIP is widely used for high-throughput miRNA target characterization. Here, the authors show that the previously neglected non-T-to-C clusters denote functional miRNA binding events, and develop microCLIP, a super learning framework that accurately detects miRNA interactions.

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Bibliographic Details
Main Authors:	Maria D. Paraskevopoulou, Dimitra Karagkouni, Ioannis S. Vlachos, Spyros Tastsoglou, Artemis G. Hatzigeorgiou
Format:	article
Language:	EN
Published:	Nature Portfolio 2018
Subjects:	Science Q
Online Access:	https://doaj.org/article/b57772db0832471fa715d74f6ec08124
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spelling	oai:doaj.org-article:b57772db0832471fa715d74f6ec081242021-12-02T16:49:48ZmicroCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions10.1038/s41467-018-06046-y2041-1723https://doaj.org/article/b57772db0832471fa715d74f6ec081242018-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06046-yhttps://doaj.org/toc/2041-1723AGO-PAR-CLIP is widely used for high-throughput miRNA target characterization. Here, the authors show that the previously neglected non-T-to-C clusters denote functional miRNA binding events, and develop microCLIP, a super learning framework that accurately detects miRNA interactions.Maria D. ParaskevopoulouDimitra KaragkouniIoannis S. VlachosSpyros TastsoglouArtemis G. HatzigeorgiouNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-16 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Maria D. Paraskevopoulou Dimitra Karagkouni Ioannis S. Vlachos Spyros Tastsoglou Artemis G. Hatzigeorgiou microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
description	AGO-PAR-CLIP is widely used for high-throughput miRNA target characterization. Here, the authors show that the previously neglected non-T-to-C clusters denote functional miRNA binding events, and develop microCLIP, a super learning framework that accurately detects miRNA interactions.
format	article
author	Maria D. Paraskevopoulou Dimitra Karagkouni Ioannis S. Vlachos Spyros Tastsoglou Artemis G. Hatzigeorgiou
author_facet	Maria D. Paraskevopoulou Dimitra Karagkouni Ioannis S. Vlachos Spyros Tastsoglou Artemis G. Hatzigeorgiou
author_sort	Maria D. Paraskevopoulou
title	microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
title_short	microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
title_full	microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
title_fullStr	microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
title_full_unstemmed	microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions
title_sort	microclip super learning framework uncovers functional transcriptome-wide mirna interactions
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/b57772db0832471fa715d74f6ec08124
work_keys_str_mv	AT mariadparaskevopoulou microclipsuperlearningframeworkuncoversfunctionaltranscriptomewidemirnainteractions AT dimitrakaragkouni microclipsuperlearningframeworkuncoversfunctionaltranscriptomewidemirnainteractions AT ioannissvlachos microclipsuperlearningframeworkuncoversfunctionaltranscriptomewidemirnainteractions AT spyrostastsoglou microclipsuperlearningframeworkuncoversfunctionaltranscriptomewidemirnainteractions AT artemisghatzigeorgiou microclipsuperlearningframeworkuncoversfunctionaltranscriptomewidemirnainteractions
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microCLIP super learning framework uncovers functional transcriptome-wide miRNA interactions

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