Evidence map›Paper›PMID 24858075›Full record

ArticleGene2014

K-mer natural vector and its application to the phylogenetic analysis of genetic sequences.

Jia Wen, Raymond H F Chan, Shek-Chung Yau, Rong L He, Stephen S T Yau

Abstract read
In one paragraph

Article in Gene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  8. The optimal metric for viral genome space.Computational and structural biotechnology journal · 2024
    Article
  9. Article
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  12. Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Classification ofiScience · 2024
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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.

Jia WenSchool of Information Science, Suihua University, Suihua 152061, China; Department of Mathematics, The Chinese University of Hong Kong, Shatin 999077, Hong Kong.
Raymond H F ChanDepartment of Mathematics, The Chinese University of Hong Kong, Shatin 999077, Hong Kong.
Shek-Chung YauInformation Technology Services Center, Hong Kong University of Science and Technology, Kowloon 999077, Hong Kong.
Rong L HeDepartment of Biological Sciences, Chicago State University, Chicago, IL 60628, USA.
Stephen S T YauDepartment of Mathematical Sciences, Tsinghua University, Beijing 100084, China. Electronic address: yau@uic.edu.

Funding

Role of serum amyloid A in interferon-gamma expression and T helper 1 cell differSC3GM098180 · NIGMS · CHICAGO STATE UNIVERSITY · PI HE, RONG LUCY · 2011 to 2014
$431k
NIGMS NIH HHS 5 SC3 GM098180-04NIGMS NIH HHS SC3 GM098180
6 · The paper itself

Abstract

Based on the well-known k-mer model, we propose a k-mer natural vector model for representing a genetic sequence based on the numbers and distributions of k-mers in the sequence. We show that there exists a one-to-one correspondence between a genetic sequence and its associated k-mer natural vector. The k-mer natural vector method can be easily and quickly used to perform phylogenetic analysis of genetic sequences without requiring evolutionary models or human intervention. Whole or partial genomes can be handled more effective with our proposed method. It is applied to the phylogenetic analysis of genetic sequences, and the obtaining results fully demonstrate that the k-mer natural vector method is a very powerful tool for analysing and annotating genetic sequences and determining evolutionary relationships both in terms of accuracy and efficiency.

Indexed as

Genetic VectorsGenome, HumanModels, GeneticPhylogenyAlgorithmsAnimalsDNA, MitochondrialEvolution, MolecularGenomeHumansMammalsMitochondriaSequence Analysis, DNADNA, MitochondrialK-mer modelNatural vectorPhylogenetic analysis

Identifiers

PMID24858075
PMCPMC4096558

What OpenQuestion holds

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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.