The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes (2023)
- Authors:
- Santos, Anderson Paulo Avila

- Nata'ala, Muhammad Kabiru

- Kasmanas, Jonas Coelho

- Bartholomäus, Alexander

- Keller-Costa, Tina

- Jurburg, Stephanie D

- Tal, Tamara

- Camarinha-Silva, Amélia

- Saraiva, João Pedro

- Carvalho, André Carlos Ponce de Leon Ferreira de

- Stadler, Peter F

- Sanches, Danilo Sipoli

- Rocha, Ulisses Nunes da

- Santos, Anderson Paulo Avila
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SANTOS, ANDERSON PAULO AVILA - ICMC ; KASMANAS, JONAS COELHO - ICMC
- Unidade: ICMC
- DOI: 10.1186/s42523-023-00267-3
- Subjects: BIOINFORMÁTICA; GENÔMICA; ECOLOGIA MICROBIANA; METADADOS; BASES DE DADOS
- Keywords: Metagenome; Animal-Associated Microbiomes; Microbial Ecology; Metadata; Database; FAIR principles
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Animal Microbiome
- ISSN: 2524-4671
- Volume/Número/Paginação/Ano: v. 5, p. 1-13, 2023
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SANTOS, Anderson Paulo Avila et al. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, v. 5, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1186/s42523-023-00267-3. Acesso em: 31 mar. 2026. -
APA
Santos, A. P. A., Nata'ala, M. K., Kasmanas, J. C., Bartholomäus, A., Keller-Costa, T., Jurburg, S. D., et al. (2023). The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, 5, 1-13. doi:10.1186/s42523-023-00267-3 -
NLM
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1186/s42523-023-00267-3 -
Vancouver
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1186/s42523-023-00267-3 - MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes
- Integrating comparative genomics and risk classification by assessing virulence, antimicrobial resistance, and plasmid spread in microbial communities with gSpreadComp
- HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes
- MuDoGeR: multi-domain genome recovery from metagenomes made easy
- Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture
- Analysis and classification of human microbiomes: detection of bioindicators and optimization through machine learning
- OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes
- Exploration of non-coding RNA in complex microbial communities with machine learning
- BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification
- Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3160952.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
