Evidence map›Paper›PMID 21723298›Full record

ArticleJournal of theoretical biology2011

New powerful statistics for alignment-free sequence comparison under a pattern transfer model.

Xuemei Liu, Lin Wan, Jing Li, Gesine Reinert, Michael S Waterman, Fengzhu Sun

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. The statistical power ofSynthetic and systems biotechnology · 2019
    Article
  3. Article
  4. Alignment-Free Sequence Analysis and Applications.Annual review of biomedical data science · 2018
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Alignment-free protein interaction network comparison.Bioinformatics (Oxford, England) · 2014
    Article
  11. Review
  12. Article
  13. Multiple alignment-free sequence comparison.Bioinformatics (Oxford, England) · 2013
    Article
  14. A geometric interpretation for local alignment-free sequence comparison.Journal of computational biology : a journal of computational molecular cell biology · 2013
    Article
  15. Alignment-free sequence comparison based on next-generation sequencing reads.Journal of computational biology : a journal of computational molecular cell biology · 2013
    Article
  16. Article
  17. 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

6 authors.

Xuemei LiuSchool of Physics, South China University of Technology, Guangzhou, PR China.
Lin Wan
Jing Li
Gesine Reinert
Michael S Waterman
Fengzhu Sun

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
Molecular Sequence Analysis Using Word Counts: Statistics Power and ApplicationsR21HG006199 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SUN, FENGZHU · 2011 to 2012
$450k
Computational and Statistical Studies for Multiple Molecular NetworksR21AG032743 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SUN, FENGZHU · 2008 to 2009
$367k
NHGRI NIH HHS P50 HG002790NHGRI NIH HHS P50HG002790NHGRI NIH HHS R21 HG006199NHGRI NIH HHS R21HG006199NIA NIH HHS R21 AG032743NIA NIH HHS R21AG032743
6 · The paper itself

Abstract

Alignment-free sequence comparison is widely used for comparing gene regulatory regions and for identifying horizontally transferred genes. Recent studies on the power of a widely used alignment-free comparison statistic D2 and its variants D*2 and D(s)2 showed that their power approximates a limit smaller than 1 as the sequence length tends to infinity under a pattern transfer model. We develop new alignment-free statistics based on D2, D*2 and D(s)2 by comparing local sequence pairs and then summing over all the local sequence pairs of certain length. We show that the new statistics are much more powerful than the corresponding statistics and the power tends to 1 as the sequence length tends to infinity under the pattern transfer model.

Indexed as

AlgorithmsAnimalsData Interpretation, StatisticalDrosophilaEvolution, MolecularHIV-1Models, StatisticalRegulatory Sequences, Nucleic AcidSequence AlignmentSequence Analysis, DNASequence Homology, Nucleic Acid

Identifiers

PMID21723298
PMCPMC3146591

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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.