ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data (2021)
- Authors:
- Autor USP: PACHÓN, DIEGO MAURICIO RIAÑO - CENA
- Unidade: CENA
- Subjects: BIOINFORMÁTICA; SOFTWARES; CONTAMINAÇÃO; ZOOLOGIA (CLASSIFICAÇÃO)
- Keywords: Bioinformática; Contaminação; NGS
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2021
- Source:
- Título do periódico: Advances in Bioinformatics and Computational Biology
- Volume/Número/Paginação/Ano: p. 65-68, 2021
- Conference titles: Brazilian Symposium on Bioinformatics (BSB 2021)
-
ABNT
PERES, Felipe Vaz e PACHÓN, Diego Mauricio Riaño. ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. Heidelberg: Centro de Energia Nuclear na Agricultura, Universidade de São Paulo. . Acesso em: 21 maio 2024. , 2021 -
APA
Peres, F. V., & Pachón, D. M. R. (2021). ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. Heidelberg: Centro de Energia Nuclear na Agricultura, Universidade de São Paulo. -
NLM
Peres FV, Pachón DMR. ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. 2021 ; 65-68.[citado 2024 maio 21 ] -
Vancouver
Peres FV, Pachón DMR. ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. 2021 ; 65-68.[citado 2024 maio 21 ] - Shedding light on the dynamic role of the “target of rapamycin” kinase in the fast-growing C4 species Setaria viridis, a suitable model for biomass crops
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