TRAP: automated classification, quantification and annotation of tandemly repeated sequences (2006)
- Authors:
- USP affiliated authors: DURHAM, ALAN MITCHELL - IME ; GRUBER, ARTHUR - ICB
- Unidades: IME; ICB
- DOI: 10.1093/bioinformatics/bti809
- Assunto: DESENVOLVIMENTO DE SOFTWARE
- Language: Inglês
- Imprenta:
- Source:
- Título: Bioinformatics
- ISSN: 1367-4803
- Volume/Número/Paginação/Ano: v. 22, n. 3, p. 361-362, 2006
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SOBREIRA, Tiago J. Paschoal e DURHAM, Alan Mitchell e GRUBER, Arthur. TRAP: automated classification, quantification and annotation of tandemly repeated sequences. Bioinformatics, v. 22, n. 3, p. 361-362, 2006Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bti809. Acesso em: 02 abr. 2026. -
APA
Sobreira, T. J. P., Durham, A. M., & Gruber, A. (2006). TRAP: automated classification, quantification and annotation of tandemly repeated sequences. Bioinformatics, 22( 3), 361-362. doi:10.1093/bioinformatics/bti809 -
NLM
Sobreira TJP, Durham AM, Gruber A. TRAP: automated classification, quantification and annotation of tandemly repeated sequences [Internet]. Bioinformatics. 2006 ; 22( 3): 361-362.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1093/bioinformatics/bti809 -
Vancouver
Sobreira TJP, Durham AM, Gruber A. TRAP: automated classification, quantification and annotation of tandemly repeated sequences [Internet]. Bioinformatics. 2006 ; 22( 3): 361-362.[citado 2026 abr. 02 ] Available from: https://doi.org/10.1093/bioinformatics/bti809 - This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio]
- Bioinformatics in tropical disease research: a practical and case-study approach
- EGene: a configurable pipeline generation system for automated sequence analysis
- Strain discrimination of Eimeria spp. of domestic fowl: application of RAPD, mitochondrial genomes and microsatellite markers for epizootiological studies
- Sequencing and analysis of chromosome 1 of Eimeria tenella reveals a unique segmental organization
- The Eimeria Transcript DB: an integrated resource for annotated transcripts of protozoan parasites of the genus Eimeria
- Characterization of SCAR markers of Eimeria spp. of domestic fowl and construction of a public relational database (The Eimeria SCARdb)
- A comparative transcriptome analysis reveals expression profiles conserved across three Eimeria spp. of domestic fowl and associated with multiple developmental stages
- Use of profile hidden Markov models in viral discovery: current insights
- Pilot survey of expressed sequence tags (ESTS) from the asexual blood stages of Plasmodium Vivax in human patients
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