Bioinformatic challenges of big data in non-coding RNA research.

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.

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.

Who cites it

5 citing papers in PubMed.

1. A Proteomics Insight into Advancements in the Rice-Microbe Interaction.Plants (Basel, Switzerland) · 2023
   Review
2. Non-coding RNAs and their bioengineering applications for neurological diseases.Bioengineered · 2021
   Review
3. Specific miRNA Disease Biomarkers in Blood, Serum and Plasma: Challenges and Prospects.Molecular diagnosis & therapy · 2016
   Review
4. Data Mining Methods for Omics and Knowledge of Crude Medicinal Plants toward Big Data Biology.Computational and structural biotechnology journal · 2013
   Review
5. Coinciding revolutions: how discovery of non-coding DNA and RNA can change our understanding of addiction.Frontiers in genetics · 2012
   Article

Corrections and comments

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

Authors and funding

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.