Evidence map›Paper›PMID 25120269›Full record

ArticleNucleic acids research2014

sPARTA: a parallelized pipeline for integrated analysis of plant miRNA and cleaved mRNA data sets, including new miRNA target-identification software.

Atul Kakrana, Reza Hammond, Parth Patel, Mayumi Nakano, Blake C Meyers

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Review
  2. Article
  3. Detection of Ethylene Signaling Using Bioinformatics Tools in Plants.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Premeiotic 24-nt phasiRNAs are present in theProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Premeiotic 24-nt phasiRNAs are present in thebioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. The Multiverse of Plant Small RNAs: How Can We Explore It?International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. MicroRNA Databases and Tools.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Article
  14. Article
  15. MicroRNAs Regulating Autophagy in Neurodegeneration.Advances in experimental medicine and biology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Atul KakranaCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19714, USA Delaware Biotechnology Institute, University of Delaware, Newark, DE 19714, USA.
Reza HammondCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19714, USA Delaware Biotechnology Institute, University of Delaware, Newark, DE 19714, USA.
Parth PatelCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19714, USA Delaware Biotechnology Institute, University of Delaware, Newark, DE 19714, USA.
Mayumi NakanoDepartment of Plant and Soil Sciences, University of Delaware, Newark, DE 19711, USA.
Blake C MeyersDelaware Biotechnology Institute, University of Delaware, Newark, DE 19714, USA Department of Plant and Soil Sciences, University of Delaware, Newark, DE 19711, USA meyers@dbi.udel.edu.ORCID http://orcid.org/0000-0003-3436-6097

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parallel analysis of RNA ends (PARE) is a technique utilizing high-throughput sequencing to profile uncapped, mRNA cleavage or decay products on a genome-wide basis. Tools currently available to validate miRNA targets using PARE data employ only annotated genes, whereas important targets may be found in unannotated genomic regions. To handle such cases and to scale to the growing availability of PARE data and genomes, we developed a new tool, 'sPARTA' (small RNA-PARE target analyzer) that utilizes a built-in, plant-focused target prediction module (aka 'miRferno'). sPARTA not only exhibits an unprecedented gain in speed but also it shows greater predictive power by validating more targets, compared to a popular alternative. In addition, the novel 'seed-free' mode, optimized to find targets irrespective of complementarity in the seed-region, identifies novel intergenic targets. To fully capitalize on the novelty and strengths of sPARTA, we developed a web resource, 'comPARE', for plant miRNA target analysis; this facilitates the systematic identification and analysis of miRNA-target interactions across multiple species, integrated with visualization tools. This collation of high-throughput small RNA and PARE datasets from different genomes further facilitates re-evaluation of existing miRNA annotations, resulting in a 'cleaner' set of microRNAs.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, RNASoftwareAlgorithmsInternetMicroRNAsRNA CleavageRNA, MessengerRNA, PlantMicroRNAsRNA, MessengerRNA, Plant

Identifiers

PMID25120269
PMCPMC4191380

What OpenQuestion holds

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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.