Evidence map›Paper›PMID 34050762›Full record

ArticleNucleic acids research2021

ncFANs v2.0: an integrative platform for functional annotation of non-coding RNAs.

Yuwei Zhang, Dechao Bu, Peipei Huo, Zhihao Wang, Hao Rong, Yanguo Li, Jingjia Liu, Meng Ye, Yang Wu, Zheng Jiang and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yuwei ZhangThe Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, 315000, China.ORCID 0000-0002-8395-3020
Dechao BuPervasive Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China.
Peipei HuoLuoyang Branch of Institute of Computing Technology, Chinese Academy of Sciences, Henan, 471000, China.
Zhihao WangLuoyang Branch of Institute of Computing Technology, Chinese Academy of Sciences, Henan, 471000, China.
Hao RongThe Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, 315000, China.
Yanguo LiInstitute of Drug Discovery Technology, Ningbo University, Ningbo, Zhejiang, 315000, China.
Jingjia LiuNingbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, Zhejiang, 315000, China.
Meng YeThe Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, 315000, China.
Yang WuPervasive Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China.
Zheng JiangDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Qi LiaoThe Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, 315000, China.
Yi ZhaoPervasive Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China.ORCID 0000-0001-6046-8420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence proves the essential regulatory roles of non-coding RNAs (ncRNAs) in biological processes. However, characterizing the specific functions of ncRNAs remains a challenging task, owing to the intensive consumption of the experimental approaches. Here, we present an online platform ncFANs v2.0 that is a significantly enhanced version of our previous ncFANs to provide multiple computational methods for ncRNA functional annotation. Specifically, ncFANs v2.0 was updated to embed three functional modules, including ncFANs-NET, ncFANs-eLnc and ncFANs-CHIP. ncFANs-NET is a new module designed for data-free functional annotation based on four kinds of pre-built networks, including the co-expression network, co-methylation network, long non-coding RNA (lncRNA)-centric regulatory network and random forest-based network. ncFANs-eLnc enables the one-stop identification of enhancer-derived lncRNAs from the de novo assembled transcriptome based on the user-defined or our pre-annotated enhancers. Moreover, ncFANs-CHIP inherits the original functions for microarray data-based functional annotation and supports more chip types. We believe that our ncFANs v2.0 carries sufficient convenience and practicability for biological researchers and facilitates unraveling the regulatory mechanisms of ncRNAs. The ncFANs v2.0 server is freely available at http://bioinfo.org/ncfans or http://ncfans.gene.ac.

Indexed as

SoftwareEnhancer Elements, GeneticHumansMethylationMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisRNA, Long NoncodingRNA, UntranslatedRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID34050762
PMCPMC8262724

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.