Evidence map›Paper›PMID 22247280›Full record

ArticleBioinformatics (Oxford, England)2012

Estimation of pairwise sequence similarity of mammalian enhancers with word neighbourhood counts.

Jonathan Göke, Marcel H Schulz, Julia Lasserre, Martin Vingron

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Alignment-Free Sequence Analysis and Applications.Annual review of biomedical data science · 2018
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Clustering of reads with alignment-free measures and quality values.Algorithms for molecular biology : AMB · 2015
    Article
  13. Article
  14. Robust k-mer frequency estimation using gapped k-mers.Journal of mathematical biology · 2014
    Article
  15. Article
  16. Global view of enhancer-promoter interactome in human cells.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  17. Review
  18. Article
  19. Article
  20. The distribution of word matches between Markovian sequences with periodic boundary conditions.Journal of computational biology : a journal of computational molecular cell biology · 2014
    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.

Jonathan GökeDepartment for Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany. goeke@molgen.mpg.de
Marcel H Schulz
Julia Lasserre
Martin Vingron

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe identity of cells and tissues is to a large degree governed by transcriptional regulation. A major part is accomplished by the combinatorial binding of transcription factors at regulatory sequences, such as enhancers. Even though binding of transcription factors is sequence-specific, estimating the sequence similarity of two functionally similar enhancers is very difficult. However, a similarity measure for regulatory sequences is crucial to detect and understand functional similarities between two enhancers and will facilitate large-scale analyses like clustering, prediction and classification of genome-wide datasets.

resultsWe present the standardized alignment-free sequence similarity measure N2, a flexible framework that is defined for word neighbourhoods. We explore the usefulness of adding reverse complement words as well as words including mismatches into the neighbourhood. On simulated enhancer sequences as well as functional enhancers in mouse development, N2 is shown to outperform previous alignment-free measures. N2 is flexible, faster than competing methods and less susceptible to single sequence noise and the occurrence of repetitive sequences. Experiments on the mouse enhancers reveal that enhancers active in different tissues can be separated by pairwise comparison using N2.

conclusionN2 represents an improvement over previous alignment-free similarity measures without compromising speed, which makes it a good candidate for large-scale sequence comparison of regulatory sequences. AVAILABILITY: The software is part of the open-source C++ library SeqAn (www.seqan.de) and a compiled version can be downloaded at http://www.seqan.de/projects/alf.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsEnhancer Elements, GeneticAnimalsCluster AnalysisGenome-Wide Association StudyMiceOrgan SpecificitySoftware

Identifiers

PMID22247280
PMCPMC3289921

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.