Evidence map›Paper›PMID 24064230›Full record

ReviewBriefings in bioinformatics2014

New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing.

Kai Song, Jie Ren, Gesine Reinert, Minghua Deng, Michael S Waterman, Fengzhu Sun

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Trial
  2. Estimation of substitution and indel rates via k-mer statistics.Algorithms for molecular biology : AMB · 2026
    Article
  3. Article
  4. Article
  5. The gift of novelty: repeat-robustbioRxiv : the preprint server for biology · 2026
    Article
  6. Estimation of substitution and indel rates viaAlgorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  7. Estimation of substitution and indel rates viabioRxiv : the preprint server for biology · 2025
    Article
  8. International journal of systematic and evolutionary microbiology · 2025
    Article
  9. A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  10. The Statistics of Parametrized Syncmers in a Simple Mutation Process Without Spurious Matches.Journal of computational biology : a journal of computational molecular cell biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Statistics ofJournal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  18. Article
  19. NAR genomics and bioinformatics · 2021
    Article
  20. Article

15 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

6 authors.

Kai SongMolecular and Computational Biology Program, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA. fsun@usc.edu or msw@usc.edu.
Jie Ren
Gesine Reinert
Minghua Deng
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
NHGRI NIH HHS P50 HG002790NHGRI NIH HHS P50HG002790NHGRI NIH HHS R21 HG006199NHGRI NIH HHS R21HG006199
6 · The paper itself

Abstract

With the development of next-generation sequencing (NGS) technologies, a large amount of short read data has been generated. Assembly of these short reads can be challenging for genomes and metagenomes without template sequences, making alignment-based genome sequence comparison difficult. In addition, sequence reads from NGS can come from different regions of various genomes and they may not be alignable. Sequence signature-based methods for genome comparison based on the frequencies of word patterns in genomes and metagenomes can potentially be useful for the analysis of short reads data from NGS. Here we review the recent development of alignment-free genome and metagenome comparison based on the frequencies of word patterns with emphasis on the dissimilarity measures between sequences, the statistical power of these measures when two sequences are related and the applications of these measures to NGS data.

Indexed as

AlgorithmsComputational BiologyGenomicsHigh-Throughput Nucleotide SequencingMarkov ChainsModels, StatisticalSequence AlignmentSequence Analysisalignment-freegenome comparisonMarkov modelNGS datastatistical powerword patterns

Identifiers

PMID24064230
PMCPMC4017329

What OpenQuestion holds

Textmetadata
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.