Evidence map›Paper›PMID 25172925›Full record

ArticleBioinformatics (Oxford, England)2014

Frameshift alignment: statistics and post-genomic applications.

Sergey L Sheetlin, Yonil Park, Martin C Frith, John L Spouge

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Sensitive and error-tolerant annotation of protein-coding DNA with BATH.bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. MAIRA: Protein-based Analysis of MinION Reads on a Laptop.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Application of computational approaches to analyze metagenomic data.Journal of microbiology (Seoul, Korea) · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Search for potential reading frameshifts in cds from Arabidopsis thaliana and other genomes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  16. RIFRAF: a frame-resolving consensus algorithm.Bioinformatics (Oxford, England) · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Sergey L SheetlinNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA and Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo 135-0064, Japan.
Yonil ParkNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA and Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo 135-0064, Japan.
Martin C FrithNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA and Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo 135-0064, Japan.
John L SpougeNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA and Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo 135-0064, Japan.

Funding

Mathematically Rigorous Results In Sequence Matching.ZIALM000088 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SPOUGE, JOHN · 2009 to 2020
$1.7M
Intramural NIH HHS
6 · The paper itself

Abstract

motivationThe alignment of DNA sequences to proteins, allowing for frameshifts, is a classic method in sequence analysis. It can help identify pseudogenes (which accumulate mutations), analyze raw DNA and RNA sequence data (which may have frameshift sequencing errors), investigate ribosomal frameshifts, etc. Often, however, only ad hoc approximations or simulations are available to provide the statistical significance of a frameshift alignment score.

resultsWe describe a method to estimate statistical significance of frameshift alignments, similar to classic BLAST statistics. (BLAST presently does not permit its alignments to include frameshifts.) We also illustrate the continuing usefulness of frameshift alignment with two 'post-genomic' applications: (i) when finding pseudogenes within the human genome, frameshift alignments show that most anciently conserved non-coding human elements are recent pseudogenes with conserved ancestral genes; and (ii) when analyzing metagenomic DNA reads from polluted soil, frameshift alignments show that most alignable metagenomic reads contain frameshifts, suggesting that metagenomic analysis needs to use frameshift alignment to derive accurate results.

Indexed as

Frameshift MutationAlgorithmsData Interpretation, StatisticalGenome, HumanGenomicsHumansMetagenomicsPseudogenesSequence AlignmentSequence Analysis, DNASequence Analysis, ProteinSequence Analysis, RNASoftware

Identifiers

PMID25172925
PMCPMC4253828

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.