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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: 06 nov. 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 nov. 06 ] 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 nov. 06 ] Available from: https://doi.org/10.1093/nar/gkaa1031
Artigo de periodico
CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems (2020)
Padilha, Victor Alexandre ; Alkhnbashi, Omer S ; Shah, Shiraz A ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Backofen, Rolf
Source: GigaScience. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PADILHA, Victor Alexandre et al. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, v. 9, n. 6, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1093/gigascience/giaa062. Acesso em: 06 nov. 2024.
APA
Padilha, V. A., Alkhnbashi, O. S., Shah, S. A., Carvalho, A. C. P. de L. F. de, & Backofen, R. (2020). CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems. GigaScience, 9( 6), 1-12. doi:10.1093/gigascience/giaa062
NLM
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/gigascience/giaa062
Vancouver
Padilha VA, Alkhnbashi OS, Shah SA, Carvalho ACP de LF de, Backofen R. CRISPRcasIdentifier: machine learning for accurate identification and classification of CRISPR-Cas systems [Internet]. GigaScience. 2020 ; 9( 6): 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/gigascience/giaa062
Artigo de periodico
Temporal network pattern identification by community modelling (2020)
Gao, Xubo; Zheng, Qiusheng; Vega-Oliveros, Didier Augusto ; Anghinoni, Leandro ; Liang, Zhao
Source: Scientific Reports. Unidades: FFCLRP, ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAO, Xubo et al. Temporal network pattern identification by community modelling. Scientific Reports, v. 10, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-57123-1. Acesso em: 06 nov. 2024.
APA
Gao, X., Zheng, Q., Vega-Oliveros, D. A., Anghinoni, L., & Liang, Z. (2020). Temporal network pattern identification by community modelling. Scientific Reports, 10, 1-12. doi:10.1038/s41598-019-57123-1
NLM
Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41598-019-57123-1
Vancouver
Gao X, Zheng Q, Vega-Oliveros DA, Anghinoni L, Liang Z. Temporal network pattern identification by community modelling [Internet]. Scientific Reports. 2020 ; 10 1-12.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41598-019-57123-1
Artigo de periodico
Autosomal-recessive mutations in MESD cause osteogenesis imperfecta (2019)
Moosa, Shahida; Yamamoto, Guilherme L; Garbes, Lutz; Keupp, Katharina; Beleza-Meireles, Ana; Moreno, Carolina Araujo; Valadares, Eugenia Ribeiro; Sousa, Sergio B. de; Maia, Sofia; Kim, Chong Ae
Source: American journal of human genetics. Unidade: FM
Subjects: OSTEOGÊNESE IMPERFEITA, MUTAÇÃO GENÉTICA, PROTEÍNAS MORFOGENÉTICAS ÓSSEAS, TRANSDUÇÃO DE SINAL CELULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOOSA, Shahida et al. Autosomal-recessive mutations in MESD cause osteogenesis imperfecta. American journal of human genetics, v. 105, n. 4, p. 836-843, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ajhg.2019.08.008. Acesso em: 06 nov. 2024.
APA
Moosa, S., Yamamoto, G. L., Garbes, L., Keupp, K., Beleza-Meireles, A., Moreno, C. A., et al. (2019). Autosomal-recessive mutations in MESD cause osteogenesis imperfecta. American journal of human genetics, 105( 4), 836-843. doi:10.1016/j.ajhg.2019.08.008
NLM
Moosa S, Yamamoto GL, Garbes L, Keupp K, Beleza-Meireles A, Moreno CA, Valadares ER, Sousa SB de, Maia S, Kim CA. Autosomal-recessive mutations in MESD cause osteogenesis imperfecta [Internet]. American journal of human genetics. 2019 ; 105( 4): 836-843.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.ajhg.2019.08.008
Vancouver
Moosa S, Yamamoto GL, Garbes L, Keupp K, Beleza-Meireles A, Moreno CA, Valadares ER, Sousa SB de, Maia S, Kim CA. Autosomal-recessive mutations in MESD cause osteogenesis imperfecta [Internet]. American journal of human genetics. 2019 ; 105( 4): 836-843.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.ajhg.2019.08.008
Artigo de periodico
Consequences of delays and imperfect implementation of isolation in epidemic control (2019)
Young, Lai-Sang; Ruschell, Stefan; Yanchuk, Serhiy; Pereira, Tiago
Source: Scientific Reports. Unidade: ICMC
Subjects: MODELOS EPIDEMIOLOGICOS, MODELAGEM DE EPIDEMIA, EQUAÇÕES DIFERENCIAIS COM RETARDAMENTO, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOUNG, Lai-Sang et al. Consequences of delays and imperfect implementation of isolation in epidemic control. Scientific Reports, v. 9, p. 3505-1-3505-14, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39714-0. Acesso em: 06 nov. 2024.
APA
Young, L. -S., Ruschell, S., Yanchuk, S., & Pereira, T. (2019). Consequences of delays and imperfect implementation of isolation in epidemic control. Scientific Reports, 9, 3505-1-3505-14. doi:10.1038/s41598-019-39714-0
NLM
Young L-S, Ruschell S, Yanchuk S, Pereira T. Consequences of delays and imperfect implementation of isolation in epidemic control [Internet]. Scientific Reports. 2019 ; 9 3505-1-3505-14.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41598-019-39714-0
Vancouver
Young L-S, Ruschell S, Yanchuk S, Pereira T. Consequences of delays and imperfect implementation of isolation in epidemic control [Internet]. Scientific Reports. 2019 ; 9 3505-1-3505-14.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1038/s41598-019-39714-0
Artigo de periodico
Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases (2019)
Betts, Matthew J; Kirilina, Evgeniya; Otaduy, Maria C. G; Ivanov, Dimo; Acosta-cabronero, Julio; Callaghan, Martina F; Lambert, Christian; Cardenas-blanco, Arturo; Pine, Kerrin; Grinberg, Lea Tenenholz
Source: Brain. Unidade: FM
Subjects: BIOMARCADORES, DOENÇAS NEURODEGENERATIVAS, NEURÔNIOS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, NORADRENALINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BETTS, Matthew J et al. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain, v. 142, p. 2558-2571, 2019Tradução . . Disponível em: https://doi.org/10.1093/brain/awz193. Acesso em: 06 nov. 2024.
APA
Betts, M. J., Kirilina, E., Otaduy, M. C. G., Ivanov, D., Acosta-cabronero, J., Callaghan, M. F., et al. (2019). Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain, 142, 2558-2571. doi:10.1093/brain/awz193
NLM
Betts MJ, Kirilina E, Otaduy MCG, Ivanov D, Acosta-cabronero J, Callaghan MF, Lambert C, Cardenas-blanco A, Pine K, Grinberg LT. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases [Internet]. Brain. 2019 ; 142 2558-2571.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/brain/awz193
Vancouver
Betts MJ, Kirilina E, Otaduy MCG, Ivanov D, Acosta-cabronero J, Callaghan MF, Lambert C, Cardenas-blanco A, Pine K, Grinberg LT. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases [Internet]. Brain. 2019 ; 142 2558-2571.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/brain/awz193
Artigo de periodico
Non-motor outcomes depend on location of neurostimulation in Parkinson's disease (2019)
Petry-schmelzer, Jan Niklas; Krause, Max; Dembek, Till A; Horn, Andreas; Evans, Julian; Ashkan, Keyoumars; Rizos, Alexandra; Silverdale, Monty; Schumacher, Wibke; Fonoff, Erich Talamoni
Source: Brain. Unidade: FM
Subjects: DOENÇA DE PARKINSON, ESTIMULAÇÃO CEREBRAL, NÚCLEOS TALÂMICOS, ESTUDOS PROSPECTIVOS, RESULTADO DE TRATAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PETRY-SCHMELZER, Jan Niklas et al. Non-motor outcomes depend on location of neurostimulation in Parkinson's disease. Brain, v. 142, p. 3592-3604, 2019Tradução . . Disponível em: https://doi.org/10.1093/brain/awz285. Acesso em: 06 nov. 2024.
APA
Petry-schmelzer, J. N., Krause, M., Dembek, T. A., Horn, A., Evans, J., Ashkan, K., et al. (2019). Non-motor outcomes depend on location of neurostimulation in Parkinson's disease. Brain, 142, 3592-3604. doi:10.1093/brain/awz285
NLM
Petry-schmelzer JN, Krause M, Dembek TA, Horn A, Evans J, Ashkan K, Rizos A, Silverdale M, Schumacher W, Fonoff ET. Non-motor outcomes depend on location of neurostimulation in Parkinson's disease [Internet]. Brain. 2019 ; 142 3592-3604.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/brain/awz285
Vancouver
Petry-schmelzer JN, Krause M, Dembek TA, Horn A, Evans J, Ashkan K, Rizos A, Silverdale M, Schumacher W, Fonoff ET. Non-motor outcomes depend on location of neurostimulation in Parkinson's disease [Internet]. Brain. 2019 ; 142 3592-3604.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1093/brain/awz285

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