Evidence map›Paper›PMID 27168761›Full record

ArticleAlgorithms for molecular biology : AMB2016

Circular sequence comparison: algorithms and applications.

Roberto Grossi, Costas S Iliopoulos, Robert Mercas, Nadia Pisanti, Solon P Pissis, Ahmad Retha, Fatima Vayani

Erratum issuedAbstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Missing value replacement in strings and applications.Data mining and knowledge discovery · 2025
    Article
  3. Prediction of Circular RNA Secondary Structures and Their Targets.Advances in experimental medicine and biology · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Roberto GrossiDepartment of Informatics, University of Pisa, Pisa, Italy ; ERABLE team, INRA, Paris, France.
Costas S IliopoulosDepartment of Informatics, King's College London, London, UK.
Robert MercasDepartment of Informatics, King's College London, London, UK ; Department of Computer Science, Kiel University, Kiel, Germany.
Nadia PisantiDepartment of Informatics, University of Pisa, Pisa, Italy ; ERABLE team, INRA, Paris, France.
Solon P PissisDepartment of Informatics, King's College London, London, UK.
Ahmad RethaDepartment of Informatics, King's College London, London, UK.
Fatima VayaniDepartment of Informatics, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSequence comparison is a fundamental step in many important tasks in bioinformatics; from phylogenetic reconstruction to the reconstruction of genomes. Traditional algorithms for measuring approximation in sequence comparison are based on the notions of distance or similarity, and are generally computed through sequence alignment techniques. As circular molecular structure is a common phenomenon in nature, a caveat of the adaptation of alignment techniques for circular sequence comparison is that they are computationally expensive, requiring from super-quadratic to cubic time in the length of the sequences.

resultsIn this paper, we introduce a new distance measure based on q-grams, and show how it can be applied effectively and computed efficiently for circular sequence comparison. Experimental results, using real DNA, RNA, and protein sequences as well as synthetic data, demonstrate orders-of-magnitude superiority of our approach in terms of efficiency, while maintaining an accuracy very competitive to the state of the art.

Identifiers

PMID27168761
PMCPMC4862142

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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.