Evidence map›Paper›PMID 16277750›Full record

ArticleGenome biology2005

A computational investigation of kinetoplastid trans-splicing.

Shuba Gopal, Saria Awadalla, Terry Gaasterland, George A M Cross

Abstract readEvaluation Study
In one paragraph

Article in Genome biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution of Alternative Splicing in Eudicots.Frontiers in plant science · 2019
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Genomic organization of leishmania species.Iranian journal of parasitology · 2011
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Spliced leader RNA trans-splicing in dinoflagellates.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  17. Article
  18. 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

4 authors.

Shuba GopalLaboratory of Computational Genomics, Rockefeller University, 1230 York Avenue, New York, NY 10021, USA. sxgsbi@rit.edu
Saria Awadalla
Terry Gaasterland
George A M Cross

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of Leishmania major, with high-confidence predictions for 85% and 88% of annotated genes respectively. We suggest some extensions of our method to other systems.

Indexed as

AnimalsBase CompositionChromosomesComputational BiologyGenome, ProtozoanLeishmania majorRNA, ProtozoanRNA Splice SitesSequence Analysis, RNATrans-SplicingRNA, ProtozoanRNA Splice Sites

Identifiers

PMID16277750
PMCPMC1297651

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.