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Artigo de periodico
MuDoGeR: multi-domain genome recovery from metagenomes made easy (2024)
Rocha, Ulisses Nunes da ; Kasmanas, Jonas Coelho ; Kallies, René ; Saraiva, João Pedro ; Toscan, Rodolfo Brizola; Štefanič, Polonca; Bicalho, Marcos Fleming; Corrêa, Felipe Borim ; Baştürk, Merve Nida; Fousekis, Efthymios; Barbosa, Luiz Miguel Viana; Plewka, Julia ; Probst, Alexander J ; Baldrian, Petr ; Stadler, Peter F
Source: Molecular Ecology Resources. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Ulisses Nunes da et al. MuDoGeR: multi-domain genome recovery from metagenomes made easy. Molecular Ecology Resources, v. 24, n. 2, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1111/1755-0998.13904. Acesso em: 22 jun. 2024.
APA
Rocha, U. N. da, Kasmanas, J. C., Kallies, R., Saraiva, J. P., Toscan, R. B., Štefanič, P., et al. (2024). MuDoGeR: multi-domain genome recovery from metagenomes made easy. Molecular Ecology Resources, 24( 2), 1-12. doi:10.1111/1755-0998.13904
NLM
Rocha UN da, Kasmanas JC, Kallies R, Saraiva JP, Toscan RB, Štefanič P, Bicalho MF, Corrêa FB, Baştürk MN, Fousekis E, Barbosa LMV, Plewka J, Probst AJ, Baldrian P, Stadler PF. MuDoGeR: multi-domain genome recovery from metagenomes made easy [Internet]. Molecular Ecology Resources. 2024 ; 24( 2): 1-12.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1111/1755-0998.13904
Vancouver
Rocha UN da, Kasmanas JC, Kallies R, Saraiva JP, Toscan RB, Štefanič P, Bicalho MF, Corrêa FB, Baştürk MN, Fousekis E, Barbosa LMV, Plewka J, Probst AJ, Baldrian P, Stadler PF. MuDoGeR: multi-domain genome recovery from metagenomes made easy [Internet]. Molecular Ecology Resources. 2024 ; 24( 2): 1-12.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1111/1755-0998.13904
Artigo de periodico
MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes (2022)
Nata'ala, Muhammad Kabiru ; Santos, Anderson Paulo Avila ; Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Saraiva, João Pedro ; Silva, Sandra Godinho ; Keller-Costa, Tina ; Costa, Rodrigo; Gomes, Newton Carlos Marcial ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Stadler, Peter F ; Sanches, Danilo Sipoli ; Rocha, Ulisses Nunes da
Source: Environmental Microbiome. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, METADADOS, BANCO DE DADOS, ECOLOGIA MICROBIANA
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ABNT
NATA'ALA, Muhammad Kabiru et al. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, v. 17, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40793-022-00449-7. Acesso em: 22 jun. 2024.
APA
Nata'ala, M. K., Santos, A. P. A., Kasmanas, J. C., Bartholomäus, A., Saraiva, J. P., Silva, S. G., et al. (2022). MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, 17, 1-10. doi:10.1186/s40793-022-00449-7
NLM
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Vancouver
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Artigo de periodico
Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture (2022)
Liu, Bin; Sträuber, Heike ; Saraiva, João Pedro ; Harms, Hauke ; Silva, Sandra Godinho ; Kasmanas, Jonas Coelho ; Kleinsteuber, Sabine ; Rocha, Ulisses Nunes da
Source: Microbiome. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REATORES BIOQUÍMICOS, BIOINDICADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIU, Bin et al. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, v. 10, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40168-021-01219-2. Acesso em: 22 jun. 2024.
APA
Liu, B., Sträuber, H., Saraiva, J. P., Harms, H., Silva, S. G., Kasmanas, J. C., et al. (2022). Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture. Microbiome, 10, 1-21. doi:10.1186/s40168-021-01219-2
NLM
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1186/s40168-021-01219-2
Vancouver
Liu B, Sträuber H, Saraiva JP, Harms H, Silva SG, Kasmanas JC, Kleinsteuber S, Rocha UN da. Machine learning-assisted identification of bioindicators predicts medium-chain carboxylate production performance of an anaerobic mixed culture [Internet]. Microbiome. 2022 ; 10 1-21.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1186/s40168-021-01219-2
Artigo de periodico
HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes (2021)
Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Corrêa, Felipe Borim ; Tal, Tamara ; Jehmlich, Nico ; Herberth, Gunda ; Bergen, Martin von; Stadler, Peter F ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Rocha, Ulisses Nunes da
Source: Nucleic Acids Research. Unidade: ICMC
Subjects: GENÔMICA, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KASMANAS, Jonas Coelho et al. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Research, v. 49, n. Ja 2021, p. D743–D750, 2021Tradução . . Disponível em: https://doi.org/10.1093/nar/gkaa1031. Acesso em: 22 jun. 2024.
APA
Kasmanas, J. C., Bartholomäus, A., Corrêa, F. B., Tal, T., Jehmlich, N., Herberth, G., et al. (2021). HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes. Nucleic Acids Research, 49( Ja 2021), D743–D750. doi:10.1093/nar/gkaa1031
NLM
Kasmanas JC, Bartholomäus A, Corrêa FB, Tal T, Jehmlich N, Herberth G, Bergen M von, Stadler PF, Carvalho ACP de LF de, Rocha UN da. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes [Internet]. Nucleic Acids Research. 2021 ; 49( Ja 2021): D743–D750.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1093/nar/gkaa1031
Vancouver
Kasmanas JC, Bartholomäus A, Corrêa FB, Tal T, Jehmlich N, Herberth G, Bergen M von, Stadler PF, Carvalho ACP de LF de, Rocha UN da. HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes [Internet]. Nucleic Acids Research. 2021 ; 49( Ja 2021): D743–D750.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1093/nar/gkaa1031
Artigo de periodico
OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes (2021)
Saraiva, João Pedro ; Bartholomäus, Alexander ; Kallies, René ; Gomes, Marta; Bicalho, Marcos; Kasmanas, Jonas Coelho ; Vogt, Carsten ; Chatzinotas, Antonis ; Stadler, Peter F ; Dias, Oscar ; Rocha, Ulisses Nunes da
Source: Life Science Alliance. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, ECOLOGIA MICROBIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, João Pedro et al. OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes. Life Science Alliance, v. 4, n. 12, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.26508/lsa.202101167. Acesso em: 22 jun. 2024.
APA
Saraiva, J. P., Bartholomäus, A., Kallies, R., Gomes, M., Bicalho, M., Kasmanas, J. C., et al. (2021). OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes. Life Science Alliance, 4( 12), 1-14. doi:10.26508/lsa.202101167
NLM
Saraiva JP, Bartholomäus A, Kallies R, Gomes M, Bicalho M, Kasmanas JC, Vogt C, Chatzinotas A, Stadler PF, Dias O, Rocha UN da. OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes [Internet]. Life Science Alliance. 2021 ; 4( 12): 1-14.[citado 2024 jun. 22 ] Available from: https://doi.org/10.26508/lsa.202101167
Vancouver
Saraiva JP, Bartholomäus A, Kallies R, Gomes M, Bicalho M, Kasmanas JC, Vogt C, Chatzinotas A, Stadler PF, Dias O, Rocha UN da. OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes [Internet]. Life Science Alliance. 2021 ; 4( 12): 1-14.[citado 2024 jun. 22 ] Available from: https://doi.org/10.26508/lsa.202101167
Trabalho de evento
Explainable machine learning for breast cancer diagnosis (2019)
Brito-Sarracino, Tamires ; Santos, Moises Rocha dos ; Antunes, Eric Freire ; Santos, Iury Batista de Andrade; Kasmanas, Jonas Coelho ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, NEOPLASIAS MAMÁRIAS, TECNOLOGIAS DA SAÚDE
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ABNT
BRITO-SARRACINO, Tamires et al. Explainable machine learning for breast cancer diagnosis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00124. Acesso em: 22 jun. 2024.
APA
Brito-Sarracino, T., Santos, M. R. dos, Antunes, E. F., Santos, I. B. de A., Kasmanas, J. C., & Carvalho, A. C. P. de L. F. de. (2019). Explainable machine learning for breast cancer diagnosis. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00124
NLM
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124
Vancouver
Brito-Sarracino T, Santos MR dos, Antunes EF, Santos IB de A, Kasmanas JC, Carvalho ACP de LF de. Explainable machine learning for breast cancer diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/BRACIS.2019.00124

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