Evidence map›Paper›PMID 25853125›Full record

ReviewFrontiers in bioengineering and biotechnology2015

Statistical approaches to detecting and analyzing tandem repeats in genomic sequences.

Maria Anisimova, Julija Pečerska, Elke Schaper

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Tandem Repeats in Proteins: Prediction Algorithms and Biological Role.Frontiers in bioengineering and biotechnology · 2015
    Review
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

3 authors at 3 institutions in 1 country.

Maria AnisimovaInstitute of Applied Simulation, School of Life Sciences and Facility Management, Zürich University of Applied Sciences (ZHAW) , Wädenswil , Switzerland.
Julija PečerskaDepartment of Biosystems Science and Engineering, ETH Zürich , Basel , Switzerland ; Department of Computer Science, ETH Zürich , Zürich , Switzerland.
Elke SchaperDepartment of Computer Science, ETH Zürich , Zürich , Switzerland ; Vital-IT Competency Center, Swiss Institute for Bioinformatics , Lausanne , Switzerland.
ETH Zurich · CHSIB Swiss Institute of Bioinformatics · CHZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tandem repeats (TRs) are frequently observed in genomes across all domains of life. Evidence suggests that some TRs are crucial for proteins with fundamental biological functions and can be associated with virulence, resistance, and infectious/neurodegenerative diseases. Genome-scale systematic studies of TRs have the potential to unveil core mechanisms governing TR evolution and TR roles in shaping genomes. However, TR-related studies are often non-trivial due to heterogeneous and sometimes fast evolving TR regions. In this review, we discuss these intricacies and their consequences. We present our recent contributions to computational and statistical approaches for TR significance testing, sequence profile-based TR annotation, TR-aware sequence alignment, phylogenetic analyses of TR unit number and order, and TR benchmarks. Importantly, all these methods explicitly rely on the evolutionary definition of a tandem repeat as a sequence of adjacent repeat units stemming from a common ancestor. The discussed work has a focus on protein TRs, yet is generally applicable to nucleic acid TRs, sharing similar features.

Indexed as

molecular evolutionprotein domainsequence profile modeltandem repeat annotationtandem repeats

Identifiers

PMID25853125
PMCPMC4362331
OpenAlexW2093744222

What OpenQuestion holds

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LicenceCC BY
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.