Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The virtualome: a computational framework to evaluate microbiome analyses

Belén Serrano-Antón, Francisco Rodríguez-Ventura, Pere Colomer-Vidal, Riccardo Aiese Cigliano, Clemente F. Arias, Federica Bertocchini
doi: https://doi.org/10.1101/2022.06.16.496511
Belén Serrano-Antón
1CIB, Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francisco Rodríguez-Ventura
1CIB, Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pere Colomer-Vidal
1CIB, Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Riccardo Aiese Cigliano
2Sequentia Biotech SL, Barcelona, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: raiesecigliano@sequentiabiotech.com tifar@ucm.es federica.bertocchini@csic.es
Clemente F. Arias
1CIB, Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
3Grupo Interdisciplinar de Sistemas Complejos de Madrid (GISC), Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: raiesecigliano@sequentiabiotech.com tifar@ucm.es federica.bertocchini@csic.es
Federica Bertocchini
1CIB, Centro de Investigaciones Biológicas Margarita Salas (CSIC), 28040 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: raiesecigliano@sequentiabiotech.com tifar@ucm.es federica.bertocchini@csic.es
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading
  • https://data.mendeley.com/datasets/shm68b8x6t/1

Back to top
PreviousNext
Posted June 17, 2022.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The virtualome: a computational framework to evaluate microbiome analyses
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The virtualome: a computational framework to evaluate microbiome analyses
Belén Serrano-Antón, Francisco Rodríguez-Ventura, Pere Colomer-Vidal, Riccardo Aiese Cigliano, Clemente F. Arias, Federica Bertocchini
bioRxiv 2022.06.16.496511; doi: https://doi.org/10.1101/2022.06.16.496511
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
The virtualome: a computational framework to evaluate microbiome analyses
Belén Serrano-Antón, Francisco Rodríguez-Ventura, Pere Colomer-Vidal, Riccardo Aiese Cigliano, Clemente F. Arias, Federica Bertocchini
bioRxiv 2022.06.16.496511; doi: https://doi.org/10.1101/2022.06.16.496511

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4091)
  • Biochemistry (8774)
  • Bioengineering (6487)
  • Bioinformatics (23358)
  • Biophysics (11758)
  • Cancer Biology (9156)
  • Cell Biology (13257)
  • Clinical Trials (138)
  • Developmental Biology (7418)
  • Ecology (11376)
  • Epidemiology (2066)
  • Evolutionary Biology (15095)
  • Genetics (10404)
  • Genomics (14014)
  • Immunology (9128)
  • Microbiology (22071)
  • Molecular Biology (8783)
  • Neuroscience (47399)
  • Paleontology (350)
  • Pathology (1421)
  • Pharmacology and Toxicology (2482)
  • Physiology (3705)
  • Plant Biology (8055)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2211)
  • Systems Biology (6017)
  • Zoology (1251)