Evidence map›Paper›PMID 35796972›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs.

Chao Zeng, Atsushi Takeda, Kotaro Sekine, Naoki Osato, Tsukasa Fukunaga, Michiaki Hamada

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

6 authors at 1 institution in 1 country.

Chao ZengFaculty of Science and Engineering, Waseda University, Tokyo, Japan. chao.zeng@aoni.waseda.jp.
Atsushi TakedaFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Kotaro SekineFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Naoki OsatoFaculty of Science and Engineering, Waseda University, Tokyo, Japan.
Tsukasa FukunagaWaseda Institute for Advanced Study, Waseda University, Tokyo, Japan.
Michiaki HamadaFaculty of Science and Engineering, Waseda University, Tokyo, Japan. mhamada@waseda.jp.
Waseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a large number of annotated non-coding RNAs (ncRNAs), repetitive sequences are found to constitute functional components (termed as repetitive elements) in ncRNAs that perform specific biological functions. Bioinformatics analysis is a powerful tool for improving our understanding of the role of repetitive elements in ncRNAs. This chapter summarizes recent findings that reveal the role of repetitive elements in ncRNAs. Furthermore, relevant bioinformatics approaches are systematically reviewed, which promises to provide valuable resources for studying the functional impact of repetitive elements on ncRNAs.

Indexed as

Computational BiologyRNA, UntranslatedRepetitive Sequences, Nucleic AcidRNA, UntranslatedBioinformaticsFunctional elementncRNANon-coding RNARepetitive elementTransposable element

Identifiers

PMID35796972
OpenAlexW4285027797

What OpenQuestion holds

Textmetadata
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.