Evidence map›Paper›PMID 31790149›Full record

ArticleBioinformatics (Oxford, England)2020

Phylonium: fast estimation of evolutionary distances from large samples of similar genomes.

Fabian Klötzl, Bernhard Haubold

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Capturing clinically relevantMicrobial genomics · 2024
    Article
  7. Article
  8. Marker discovery in the large.Bioinformatics advances · 2024
    Article
  9. Article
  10. Article
  11. Populational genomic insights ofFrontiers in microbiology · 2023
    Article
  12. Frontiers in immunology · 2023
    Article
  13. Article
  14. Fur: Find unique genomic regions for diagnostic PCR.Bioinformatics (Oxford, England) · 2021
    Article
  15. NAR genomics and bioinformatics · 2021
    Article
  16. Article
  17. 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

2 authors.

Fabian KlötzlDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Biology, Plön, Germany.
Bernhard HauboldDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Biology, Plön, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationTracking disease outbreaks by whole-genome sequencing leads to the collection of large samples of closely related sequences. Five years ago, we published a method to accurately compute all pairwise distances for such samples by indexing each sequence. Since indexing is slow, we now ask whether it is possible to achieve similar accuracy when indexing only a single sequence.

resultsWe have implemented this idea in the program phylonium and show that it is as accurate as its predecessor and roughly 100 times faster when applied to all 2678 Escherichia coli genomes contained in ENSEMBL. One of the best published programs for rapidly computing pairwise distances, mash, analyzes the same dataset four times faster but, with default settings, it is less accurate than phylonium. AVAILABILITY AND IMPLEMENTATION: Phylonium runs under the UNIX command line; its C++ sources and documentation are available from github.com/evolbioinf/phylonium. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomicsSoftwareAlgorithmsGenomeSequence Analysis, DNA

Identifiers

PMID31790149
PMCPMC7141870

What OpenQuestion holds

Textmetadata
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.