Evidence map›Paper›PMID 34645826›Full record

ArticleNature communications2021

Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning.

Peng Ni, Neng Huang, Fan Nie, Jun Zhang, Zhi Zhang, Bo Wu, Lu Bai, Wende Liu, Chuan-Le Xiao, Feng Luo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 125 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 2 countries.

Peng NiSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Neng HuangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Fan NieSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Jun ZhangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Zhi ZhangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Bo WuSchool of Computing, Clemson University, Clemson, SC, 29634-0974, USA.
Lu BaiState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Wende LiuState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Chuan-Le XiaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, #7 Jinsui Road, Tianhe District, Guangzhou, China. xiaochuanle@126.com.ORCID http://orcid.org/0000-0002-4680-0682
Feng LuoSchool of Computing, Clemson University, Clemson, SC, 29634-0974, USA. luofeng@clemson.edu.ORCID http://orcid.org/0000-0002-4813-2403
Jianxin WangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China. jxwang@mail.csu.edu.cn.ORCID http://orcid.org/0000-0003-1516-0480
Central South University · CNClemson University · USInstitute of Plant Protection · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plants, cytosine DNA methylations (5mCs) can happen in three sequence contexts as CpG, CHG, and CHH (where H = A, C, or T), which play different roles in the regulation of biological processes. Although long Nanopore reads are advantageous in the detection of 5mCs comparing to short-read bisulfite sequencing, existing methods can only detect 5mCs in the CpG context, which limits their application in plants. Here, we develop DeepSignal-plant, a deep learning tool to detect genome-wide 5mCs of all three contexts in plants from Nanopore reads. We sequence Arabidopsis thaliana and Oryza sativa using both Nanopore and bisulfite sequencing. We develop a denoising process for training models, which enables DeepSignal-plant to achieve high correlations with bisulfite sequencing for 5mC detection in all three contexts. Furthermore, DeepSignal-plant can profile more 5mC sites, which will help to provide a more complete understanding of epigenetic mechanisms of different biological processes.

Indexed as

Epigenesis, GeneticGenome, PlantArabidopsisCpG IslandsCytosineDeep LearningDNA MethylationDNA, PlantHigh-Throughput Nucleotide SequencingNanoporesOryzaSequence Analysis, DNASulfitesCytosineDNA, Planthydrogen sulfiteSulfites

Identifiers

PMID34645826
PMCPMC8514461
OpenAlexW3205470186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.