Evidence map›Paper›PMID 23571760›Full record

ArticleNucleic acids research2013

OLego: fast and sensitive mapping of spliced mRNA-Seq reads using small seeds.

Jie Wu, Olga Anczuków, Adrian R Krainer, Michael Q Zhang, Chaolin Zhang

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A neuron type-specific microexon inbioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Qki5 safeguards spinal motor neuron function by defining the motor neuron-specific transcriptome via pre-mRNA processing.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Counting pseudoalignments to novel splicing events.Bioinformatics (Oxford, England) · 2023
    Article
  18. Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

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.

Jie WuCold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA.
Olga Anczuków
Adrian R Krainer
Michael Q Zhang
Chaolin Zhang

Funding

Computational and experimental modeling of RNA SplicingR01GM074688 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI ZHANG, MICHAEL Q · 2007 to 2012
$1.6M
An integrative genomic strategy to infer global RNA regulatory networksR00GM095713 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2013 to 2015
$747k
An integrative genomic strategy to infer global RNA regulatory networksK99GM095713 · NIGMS · ROCKEFELLER UNIVERSITY · PI ZHANG, CHAOLIN · 2011 to 2012
$180k
NIGMS NIH HHS GM74688NIGMS NIH HHS K99GM95713NIGMS NIH HHS R00 GM095713
6 · The paper itself

Abstract

A crucial step in analyzing mRNA-Seq data is to accurately and efficiently map hundreds of millions of reads to the reference genome and exon junctions. Here we present OLego, an algorithm specifically designed for de novo mapping of spliced mRNA-Seq reads. OLego adopts a multiple-seed-and-extend scheme, and does not rely on a separate external aligner. It achieves high sensitivity of junction detection by strategic searches with small seeds (~14 nt for mammalian genomes). To improve accuracy and resolve ambiguous mapping at junctions, OLego uses a built-in statistical model to score exon junctions by splice-site strength and intron size. Burrows-Wheeler transform is used in multiple steps of the algorithm to efficiently map seeds, locate junctions and identify small exons. OLego is implemented in C++ with fully multithreaded execution, and allows fast processing of large-scale data. We systematically evaluated the performance of OLego in comparison with published tools using both simulated and real data. OLego demonstrated better sensitivity, higher or comparable accuracy and substantially improved speed. OLego also identified hundreds of novel micro-exons (<30 nt) in the mouse transcriptome, many of which are phylogenetically conserved and can be validated experimentally in vivo. OLego is freely available at http://zhanglab.c2b2.columbia.edu/index.php/OLego.

Indexed as

RNA SplicingSoftwareAlgorithmsAnimalsChromosome MappingExonsGene Expression ProfilingGenomeMiceMice, Inbred C57BLRetinaRNA, MessengerRNA Splice SitesSequence AlignmentSequence Analysis, RNARNA, MessengerRNA Splice Sites

Identifiers

PMID23571760
PMCPMC3664805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.