Evidence map›Paper›PMID 12799353›Full record

ArticleGenome research2003

Computational discovery of internal micro-exons.

Natalia Volfovsky, Brian J Haas, Steven L Salzberg

Abstract readComparative Study
In one paragraph

Article in Genome research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Exon definitive regions forMolecular therapy. Nucleic acids · 2023
    Article
  8. Specialization of the photoreceptor transcriptome byProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Identification and Analysis of Micro-Exon Genes in the Rice Genome.International journal of molecular sciences · 2019
    Article
  16. Microexons: discovery, regulation, and function.Wiley interdisciplinary reviews. RNA · 2017
    Review
  17. Article
  18. Lessons from non-canonical splicing.Nature reviews. Genetics · 2016
    Review
  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

3 authors.

Natalia VolfovskyThe Institute for Genomic Research, Rockville, Maryland 20850, USA. natalia@ncifcrf.gov
Brian J Haas
Steven L Salzberg

Funding

COMPUTATIONAL MODELING OF GENES AND GENE STRUCTURER01LM006845 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 1999 to 2010
$5.9M
NLM NIH HHS R01 LM006845NLM NIH HHS R01-LM06845
6 · The paper itself

Abstract

Very short exons, also known as micro-exons, occur in large numbers in some eukaryotic genomes. Existing annotation tools have a limited ability to recognize these short sequences, which range in length up to 25 bp. Here, we describe a computational method for the identification of micro-exons using near-perfect alignments between cDNA and genomic DNA sequences. Using this method, we detected 319 micro-exons in 4 complete genomes, of which 224 were previously unknown, human (170), the nematode Caenorhabditis elegans (4), the fruit fly Drosophila melanogaster (14), and the mustard plant Arabidopsis thaliana (36). Comparison of our computational method with popular cDNA alignment programs shows that the new algorithm is both efficient and accurate. The algorithm also aids in the discovery of micro-exon-skipping events and cross-species micro-exon conservation.

Indexed as

Alternative SplicingAnimalsArabidopsisBase SequenceCaenorhabditis elegansComputational BiologyDNADNA, ComplementaryDNA, HelminthDNA, PlantDrosophila melanogasterExonsHumansMolecular Sequence DataSequence AlignmentDNADNA, ComplementaryDNA, HelminthDNA, Plant

Identifiers

PMID12799353
PMCPMC403649

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.