Evidence map›Paper›PMID 30418868›Full record

ArticleMicrobial genomics2018

SynerClust: a highly scalable, synteny-aware orthologue clustering tool.

Christophe H Georgescu, Abigail L Manson, Alexander D Griggs, Christopher A Desjardins, Alejandro Pironti, Ilan Wapinski, Thomas Abeel, Brian J Haas, Ashlee M Earl

Abstract readEvaluation Study
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. DistinctbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Gclust: A Parallel Clustering Tool for Microbial Genomic Data.Genomics, proteomics & bioinformatics · 2019
    Article
  14. Defining the core essential genome ofProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. 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

9 authors.

Christophe H Georgescu1​Broad Institute, Cambridge, MA, USA.
Abigail L Manson1​Broad Institute, Cambridge, MA, USA.
Alexander D Griggs1​Broad Institute, Cambridge, MA, USA.
Christopher A Desjardins1​Broad Institute, Cambridge, MA, USA.
Alejandro Pironti1​Broad Institute, Cambridge, MA, USA.
Ilan Wapinski2​enEvolv, Boston, MA, USA.
Thomas Abeel1​Broad Institute, Cambridge, MA, USA.
Brian J Haas1​Broad Institute, Cambridge, MA, USA.
Ashlee M Earl1​Broad Institute, Cambridge, MA, USA.

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI SABETI, PARDIS CHRISTINE · 2014 to 2024
$66.5M
NIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

Accurate orthologue identification is a vital component of bacterial comparative genomic studies, but many popular sequence-similarity-based approaches do not scale well to the large numbers of genomes that are now generated routinely. Furthermore, most approaches do not take gene synteny into account, which is useful information for disentangling paralogues. Here, we present SynerClust, a user-friendly synteny-aware tool based on synergy that can process thousands of genomes. SynerClust was designed to analyse genomes with high levels of local synteny, particularly prokaryotes, which have operon structure. SynerClust's run-time is optimized by selecting cluster representatives at each node in the phylogeny; thus, avoiding the need for exhaustive pairwise similarity searches. In benchmarking against Roary, Hieranoid2, PanX and Reciprocal Best Hit, SynerClust was able to more completely identify sets of core genes for datasets that included diverse strains, while using substantially less memory, and with scalability comparable to the fastest tools. Due to its scalability, ease of installation and use, and suitability for a variety of computing environments, orthogroup clustering using SynerClust will enable many large-scale prokaryotic comparative genomics efforts.

Indexed as

Genome, BacterialSoftwareSyntenyAlgorithmsCluster AnalysisEnterobacteriaceaeEscherichia coliGenomicsMycobacterium tuberculosiscomparative genomicsorthogroup clusteringorthologuessynteny

Identifiers

PMID30418868
PMCPMC6321874

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.