Evidence map›Paper›PMID 38909293›Full record

ArticleNucleic acids research2024

Unveiling the microbial realm with VEBA 2.0: a modular bioinformatics suite for end-to-end genome-resolved prokaryotic, (micro)eukaryotic and viral multi-omics from either short- or long-read sequencing.

Josh L Espinoza, Allan Phillips, Melanie B Prentice, Gene S Tan, Pauline L Kamath, Karen G Lloyd, Chris L Dupont

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. 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. Article
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  5. Rafts of change: microbial and functional dynamics in simulatedApplied and environmental microbiology · 2026
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  7. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Josh L EspinozaDepartment of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.ORCID 0000-0003-3447-3845
Allan PhillipsDepartment of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.
Melanie B PrenticeSchool of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
Gene S TanDepartment of Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA 92037, USA.
Pauline L KamathSchool of Food and Agriculture, University of Maine, Orono, ME 04469, USA.
Karen G LloydMicrobiology Department, University of Tennessee, Knoxville, TN 37917, USA.
Chris L DupontDepartment of Environment and Sustainability, J. Craig Venter Institute, La Jolla, CA 92037, USA.

Funding

Identifying Influenza Virus Infection Severity and Outcome Signatures Through Artificial Intelligence-driven AnalysesR01AI170111 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI Christopher L. Dupont · 2022 to 2026
$3.0M
The nasopharyngeal microbiota of African children and lower respiratory tract infectionU54HG009824 · NHGRI · UNIVERSITY OF CAPE TOWN · PI NICOL, MARK PATRICK · 2017 to 2021
$2.9M
Genomic diversity of Candida bloodstream infectionsR21AI160098 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NGUYEN, M. HONG THI · 2021 to 2022
$499k
Department of Energy DE-SC0020369National Institute of Health R21AI160098National Science Foundation DEB-1442262National Science Foundation OCE-1558453NHGRI NIH HHS U54 HG009824NIAID NIH HHS R01 AI170111NIAID NIH HHS R21 AI160098PolyBio FoundationWisconsin Department of Natural Resources
6 · The paper itself

Abstract

The microbiome is a complex community of microorganisms, encompassing prokaryotic (bacterial and archaeal), eukaryotic, and viral entities. This microbial ensemble plays a pivotal role in influencing the health and productivity of diverse ecosystems while shaping the web of life. However, many software suites developed to study microbiomes analyze only the prokaryotic community and provide limited to no support for viruses and microeukaryotes. Previously, we introduced the Viral Eukaryotic Bacterial Archaeal (VEBA) open-source software suite to address this critical gap in microbiome research by extending genome-resolved analysis beyond prokaryotes to encompass the understudied realms of eukaryotes and viruses. Here we present VEBA 2.0 with key updates including a comprehensive clustered microeukaryotic protein database, rapid genome/protein-level clustering, bioprospecting, non-coding/organelle gene modeling, genome-resolved taxonomic/pathway profiling, long-read support, and containerization. We demonstrate VEBA's versatile application through the analysis of diverse case studies including marine water, Siberian permafrost, and white-tailed deer lung tissues with the latter showcasing how to identify integrated viruses. VEBA represents a crucial advancement in microbiome research, offering a powerful and accessible software suite that bridges the gap between genomics and biotechnological solutions.

Indexed as

SoftwareAnimalsArchaeaBacteriaComputational BiologyEukaryotaGenomicsMicrobiotaMultiomicsViruses

Identifiers

PMID38909293
PMCPMC11317156

What OpenQuestion holds

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LicenceCC BY
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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.