Evidence map›Paper›PMID 23814184›Full record

ArticleNucleic acids research2013

Computational methods to detect conserved non-genic elements in phylogenetically isolated genomes: application to zebrafish.

Michael Hiller, Saatvik Agarwal, James H Notwell, Ravi Parikh, Harendra Guturu, Aaron M Wenger, Gill Bejerano

Abstract read
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 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Harnessing population genetics and animal models to uncover the genetics of skin scarring.Journal of plastic, reconstructive & aesthetic surgery : JPRAS · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Essential role of PLD2 in hypoxia-induced stemness and therapy resistance in ovarian tumors.Journal of experimental & clinical cancer research : CR · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Gain of gene regulatory network interconnectivity at the origin of vertebrates.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

7 authors.

Michael HillerDepartment of Developmental Biology, Stanford University, Stanford, CA 94305, USA, Department of Computer Science, Stanford University, Stanford, CA 94305, USA and Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Saatvik Agarwal
James H Notwell
Ravi Parikh
Harendra Guturu
Aaron M Wenger
Gill Bejerano

Funding

Characterization of regulatory elements leading to human limb malformationsR01HD059862 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, BEJERANO, GILL · 2009 to 2013
$2.2M
Computational & Functional Annotation of the Zebrafish Genome Regulatory ToolboxR01HG005058 · NHGRI · STANFORD UNIVERSITY · PI AHITUV, NADAV, BEJERANO, GILL · 2009 to 2012
$1.6M
NHGRI NIH HHS R01HG005058NICHD NIH HHS R01HD059862
6 · The paper itself

Abstract

Many important model organisms for biomedical and evolutionary research have sequenced genomes, but occupy a phylogenetically isolated position, evolutionarily distant from other sequenced genomes. This phylogenetic isolation is exemplified for zebrafish, a vertebrate model for cis-regulation, development and human disease, whose evolutionary distance to all other currently sequenced fish exceeds the distance between human and chicken. Such large distances make it difficult to align genomes and use them for comparative analysis beyond gene-focused questions. In particular, detecting conserved non-genic elements (CNEs) as promising cis-regulatory elements with biological importance is challenging. Here, we develop a general comparative genomics framework to align isolated genomes and to comprehensively detect CNEs. Our approach integrates highly sensitive and quality-controlled local alignments and uses alignment transitivity and ancestral reconstruction to bridge large evolutionary distances. We apply our framework to zebrafish and demonstrate substantially improved CNE detection and quality compared with previous sets. Our zebrafish CNE set comprises 54 533 CNEs, of which 11 792 (22%) are conserved to human or mouse. Our zebrafish CNEs (http://zebrafish.stanford.edu) are highly enriched in known enhancers and extend existing experimental (ChIP-Seq) sets. The same framework can now be applied to the isolated genomes of frog, amphioxus, Caenorhabditis elegans and many others.

Indexed as

Conserved SequencePhylogenyAnimalsBase SequenceComputational BiologyEvolution, MolecularGenomicsInternetMolecular Sequence AnnotationRegulatory Sequences, Nucleic AcidSensitivity and SpecificitySequence AlignmentSequence Analysis, DNASyntenyZebrafish

Identifiers

PMID23814184
PMCPMC3753653

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.