Evidence map›Paper›PMID 30159428›Full record

ReviewNon-coding RNA research2017

Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data.

Rashmi Tripathi, Pavan Chakraborty, Pritish Kumar Varadwaj

Open access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Long Non-Coding RNAs in Insects.Animals : an open access journal from MDPI · 2021
    Review
  12. Article
  13. Review
  14. Long non-coding RNAs in cancer.Non-coding RNA research · 2019
    Article
  15. Targeting Chromatin Remodeling for Cancer Therapy.Current molecular pharmacology · 2019
    Review
  16. Review
  17. 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

3 authors at 1 institution in 1 country.

Rashmi TripathiDepartment of Bioinformatics, Indian Institute of Information Technology Allahabad, Allahabad, 211015, UP, India.
Pavan ChakrabortyDepartment of Information Technology, Indian Institute of Information Technology Allahabad, Allahabad, 211015, UP, India.
Pritish Kumar VaradwajDepartment of Bioinformatics, Indian Institute of Information Technology Allahabad, Allahabad, 211015, UP, India.
Indian Institute of Information Technology Allahabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive genome-wide transcriptome study mediated by high throughput sequencing technique has revolutionized the study of genetics and epigenetic at unprecedented resolution. The research has revealed that besides protein-coding RNAs, large proportions of mammalian transcriptome includes a heap of regulatory non protein-coding RNAs, the number encoded within human genome is enigmatic. Many taboos developed in the past categorized these non-coding RNAs as ''dark matter" and "junks". Breaking the myth,

Indexed as

Genetic and epigeneticHigh throughput sequencingLong non-coding RNARNA-seqRNA-sequencingTranscriptome

Identifiers

PMID30159428
PMCPMC6096414
OpenAlexW2638860981

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.