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SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3′ tag-based RNA-seq of single cells

Published Online: 2021-08-10

Published Print: 2021-12

Authors

Li, Guo-Wei

Nan, Fang

Yuan, Guo-Hua

Liu, Chu-Xiao

Liu, Xindong

Chen, Ling-Ling

Tian, Bin

Yang, Li https://orcid.org/0000-0001-8833-7473
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (31925011, 31730111, 91940306)

Ministry of Science and Technology of the People's Republic of China (2019YFA0802804)

chinese academy of sciences (XDB38040300)

National Institutes of Health (R01 GM084089, R01 GM129069)

howard hughes medical institute (55008728)

china postdoctoral science foundation (Y949603101)
License Information

Text and Data Mining valid from 2021-08-10

Version of Record valid from 2021-08-10
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Article History

Received: 5 February 2021

Accepted: 16 July 2021

First Online: 10 August 2021

Declarations

:

: Not applicable.

: L.Y., G.-W.L., F.N., and G.-H.Y. have filed a patent application (202110251298.3) relating to the published work through Shanghai Institute of Nutrition and Health.

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