Evidence map›Paper›PMID 35561186›Full record

ArticleBioinformatics (Oxford, England)2022

EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts.

Chien-Chi Lo, Migun Shakya, Ryan Connor, Karen Davenport, Mark Flynn, Adán Myers Y Gutiérrez, Bin Hu, Po-E Li, Elais Player Jackson, Yan Xu and 1 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. 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. Methods for safely sharing dual-use genetic data.Frontiers in microbiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Applying the digital data and the bioinformatics tools in SARS-CoV-2 research.Computational and structural biotechnology journal · 2023
    Review
  13. Sierra SARS-CoV-2 sequence and antiviral resistance analysis program.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Review
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

11 authors.

Chien-Chi LoBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0003-3470-1078
Migun ShakyaBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0003-3876-691X
Ryan ConnorNational Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Karen DavenportBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Mark FlynnBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Adán Myers Y GutiérrezBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-3457-1632
Bin HuBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-0278-8466
Po-E LiBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Elais Player JacksonBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Yan XuBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Patrick S G ChainBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
6 · The paper itself

Abstract

summaryGenomics has become an essential technology for surveilling emerging infectious disease outbreaks. A range of technologies and strategies for pathogen genome enrichment and sequencing are being used by laboratories worldwide, together with different and sometimes ad hoc, analytical procedures for generating genome sequences. A fully integrated analytical process for raw sequence to consensus genome determination, suited to outbreaks such as the ongoing COVID-19 pandemic, is critical to provide a solid genomic basis for epidemiological analyses and well-informed decision making. We have developed a web-based platform and integrated bioinformatic workflows that help to provide consistent high-quality analysis of SARS-CoV-2 sequencing data generated with either the Illumina or Oxford Nanopore Technologies (ONT). Using an intuitive web-based interface, this workflow automates data quality control, SARS-CoV-2 reference-based genome variant and consensus calling, lineage determination and provides the ability to submit the consensus sequence and necessary metadata to GenBank, GISAID and INSDC raw data repositories. We tested workflow usability using real world data and validated the accuracy of variant and lineage analysis using several test datasets, and further performed detailed comparisons with results from the COVID-19 Galaxy Project workflow. Our analyses indicate that EC-19 workflows generate high-quality SARS-CoV-2 genomes. Finally, we share a perspective on patterns and impact observed with Illumina versus ONT technologies on workflow congruence and differences. AVAILABILITY AND IMPLEMENTATION: https://edge-covid19.edgebioinformatics.org, and https://github.com/LANL-Bioinformatics/EDGE/tree/SARS-CoV2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

COVID-19SARS-CoV-2Genome, ViralGenomicsHumansPandemics

Identifiers

PMID35561186
PMCPMC9113274

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.