Evidence map›Paper›PMID 28449639›Full record

ArticleBMC genomics2017

CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline.

Sonia Agrawal, Cesar Arze, Ricky S Adkins, Jonathan Crabtree, David Riley, Mahesh Vangala, Kevin Galens, Claire M Fraser, Hervé Tettelin, Owen White and 3 more

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Evolution toward extremely high imipenem resistance inAntimicrobial agents and chemotherapy · 2024
    Article
  2. Evolution towards extremely high β-lactam resistance inbioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Genomic Diversity of Pigeon Pea (Frontiers in plant science · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. 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

13 authors.

Sonia AgrawalInstitute for Genome Sciences, Baltimore, MD, USA.
Cesar ArzeInstitute for Genome Sciences, Baltimore, MD, USA.
Ricky S AdkinsInstitute for Genome Sciences, Baltimore, MD, USA.
Jonathan CrabtreeInstitute for Genome Sciences, Baltimore, MD, USA.
David RileyInstitute for Genome Sciences, Baltimore, MD, USA.
Mahesh VangalaInstitute for Genome Sciences, Baltimore, MD, USA.
Kevin GalensInstitute for Genome Sciences, Baltimore, MD, USA.
Claire M FraserInstitute for Genome Sciences, Baltimore, MD, USA.
Hervé TettelinInstitute for Genome Sciences, Baltimore, MD, USA.
Owen WhiteInstitute for Genome Sciences, Baltimore, MD, USA.
Samuel V AngiuoliInstitute for Genome Sciences, Baltimore, MD, USA.
Anup MahurkarInstitute for Genome Sciences, Baltimore, MD, USA.
W Florian FrickeInstitute for Genome Sciences, Baltimore, MD, USA. w.florian.fricke@uni-hohenheim.de.ORCID 0000-0003-1586-0962

Funding

NIAID NIH HHS HHSN272200900009C
6 · The paper itself

Abstract

backgroundThe benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics.

resultsCloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. CloVR-Comparative runs reference-free multiple whole-genome alignments to determine unique, shared and core coding sequences (CDSs) and single nucleotide polymorphisms (SNPs). Output includes short summary reports and detailed text-based results files, graphical visualizations (phylogenetic trees, circular figures), and a database file linked to the Sybil comparative genome browser. Data up- and download, pipeline configuration and monitoring, and access to Sybil are managed through CloVR-Comparative web interface. CloVR-Comparative and Sybil are distributed as part of the CloVR virtual appliance, which runs on local computers or the Amazon EC2 cloud. Representative datasets (e.g. 40 draft and complete Escherichia coli genomes) are processed in <36 h on a local desktop or at a cost of <$20 on EC2.

conclusionsCloVR-Comparative allows anybody with Internet access to run comparative genomics projects, while eliminating the need for on-site computational resources and expertise.

Indexed as

Cloud ComputingSoftwareAutomationGenome, MicrobialGenomicsSequence AlignmentSequence AnalysisAutomated analysisBioinformatics resourceCloud computingComparative genomicsMicrobial genomicsVirtual machineWhole-genome alignment

Identifiers

PMID28449639
PMCPMC5408420

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.