Evidence map›Paper›PMID 29334898›Full record

ArticleBMC genomics2018

seq-seq-pan: building a computational pan-genome data structure on whole genome alignment.

Christine Jandrasits, Piotr W Dabrowski, Stephan Fuchs, Bernhard Y Renard

Abstract read
In one paragraph

Article in BMC genomics, 2018. 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. Article
  3. Review
  4. Review
  5. Review
  6. A gentle introduction to pangenomics.Briefings in bioinformatics · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Improving tuberculosis surveillance by detecting international transmission using publicly available whole genome sequencing data.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  16. Pangenome Graphs.Annual review of genomics and human genetics · 2020
    Review
  17. Epidemiological and genetic characterization ofInfection control and hospital epidemiology · 2020
    Article
  18. Article
  19. Efficient merging of genome profile alignments.Bioinformatics (Oxford, England) · 2019
    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.

Christine JandrasitsRobert Koch Institute, Nordufer 20, Berlin, 13353, Germany.
Piotr W DabrowskiRobert Koch Institute, Nordufer 20, Berlin, 13353, Germany.
Stephan FuchsRobert Koch Institute, Wernigerode Branch, Burgstraße 37, Wernigerode, 38855, Germany.
Bernhard Y RenardRobert Koch Institute, Nordufer 20, Berlin, 13353, Germany. RenardB@rki.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing application of next generation sequencing technologies has led to the availability of thousands of reference genomes, often providing multiple genomes for the same or closely related species. The current approach to represent a species or a population with a single reference sequence and a set of variations cannot represent their full diversity and introduces bias towards the chosen reference. There is a need for the representation of multiple sequences in a composite way that is compatible with existing data sources for annotation and suitable for established sequence analysis methods. At the same time, this representation needs to be easily accessible and extendable to account for the constant change of available genomes.

resultsWe introduce seq-seq-pan, a framework that provides methods for adding or removing new genomes from a set of aligned genomes and uses these to construct a whole genome alignment. Throughout the sequential workflow the alignment is optimized for generating a representative linear presentation of the aligned set of genomes, that enables its usage for annotation and in downstream analyses.

conclusionsBy providing dynamic updates and optimized processing, our approach enables the usage of whole genome alignment in the field of pan-genomics. In addition, the sequential workflow can be used as a fast alternative to existing whole genome aligners for aligning closely related genomes. seq-seq-pan is freely available at https://gitlab.com/rki_bioinformatics.

Indexed as

GenomicsPhylogenySequence AlignmentSoftwareData structurePan-genomeWhole genome alignment

Identifiers

PMID29334898
PMCPMC5769345

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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.