Evidence map›Paper›PMID 30165579›Full record

ArticleBioinformatics (Oxford, England)2019

Large-scale comparative analysis of microbial pan-genomes using PanOCT.

Jason M Inman, Granger G Sutton, Erin Beck, Lauren M Brinkac, Thomas H Clarke, Derrick E Fouts

Abstract readComparative Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Genetic Diversity AmongFrontiers in microbiology · 2020
    Article
  11. 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

6 authors.

Jason M InmanDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Granger G SuttonDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Erin BeckDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Lauren M BrinkacDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Thomas H ClarkeDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Derrick E FoutsDepartment of Informatics, J. Craig Venter Institute, Rockville, MD, USA.

Funding

The J. Craig Venter Institute Genome Center for Infectious DiseasesU19AI110819 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI TAN, GENE · 2014 to 2018
$29.7M
NIAID NIH HHS U19 AI110819
6 · The paper itself

Abstract

summaryThe JCVI pan-genome pipeline is a collection of programs to run PanOCT and tools that support and extend the capabilities of PanOCT. PanOCT (pan-genome ortholog clustering tool) is a tool for pan-genome analysis of closely related prokaryotic species or strains. The JCVI Pan-Genome Pipeline wrapper invokes command-line utilities that prepare input genomes, invoke third-party tools such as NCBI Blast+, run PanOCT, generate a consensus pan-genome, annotate features of the pan-genome, detect sets of genes of interest such as antimicrobial resistance (AMR) genes and generate figures, tables and html pages to visualize the results. The pipeline can run in a hierarchical mode, lowering the RAM and compute resources used. AVAILABILITY AND IMPLEMENTATION: Source code, demo data, and detailed documentation are freely available at https://github.com/JCVenterInstitute/PanGenomePipeline.

Indexed as

Genome, BacterialGenome, MicrobialCluster AnalysisProkaryotic CellsSoftware

Identifiers

PMID30165579
PMCPMC6419995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.