ViVaMBC: estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering

BACKGROUND: Deep-sequencing allows for an in-depth characterization of sequence variation in complex populations. However, technology associated errors may impede a powerful assessment of low-frequency mutations. Fortunately, base calls are complemented with quality scores which are derived from a q...

Descripción completa

Detalles Bibliográficos
Autores principales: Verbist, Bie, Clement, Lieven, Reumers, Joke, Thys, Kim, Vapirev, Alexander, Talloen, Willem, Wetzels, Yves, Meys, Joris, Aerssens, Jeroen, Bijnens, Luc, Thas, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369097/
https://www.ncbi.nlm.nih.gov/pubmed/25887734
http://dx.doi.org/10.1186/s12859-015-0458-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4369097/
https://www.ncbi.nlm.nih.gov/pubmed/25887734
http://dx.doi.org/10.1186/s12859-015-0458-7

Ejemplares similares