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: 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 RIAÑO-PACHÓN, Diego Mauricio. 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: 22 jan. 2026. , 2021 -
APA
Peres, F. V., & Riaño-Pachón, D. M. (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, Riaño-Pachón DM. ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. 2021 ; 65-68.[citado 2026 jan. 22 ] -
Vancouver
Peres FV, Riaño-Pachón DM. ContFree-NGS: removing reads from contaminating organisms in next generation sequencing data. Advances in Bioinformatics and Computational Biology. 2021 ; 65-68.[citado 2026 jan. 22 ] - Identification of Active Compounds against Melanoma Growth by Virtual Screening for Non-Classical Human DHFR Inhibitors
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