Cargando…
Substantial biases in ultra-short read data sets from high-throughput DNA sequencing
Novel sequencing technologies permit the rapid production of large sequence data sets. These technologies are likely to revolutionize genetics and biomedical research, but a thorough characterization of the ultra-short read output is necessary. We generated and analyzed two Illumina 1G ultra-short r...
Autores principales: | Dohm, Juliane C., Lottaz, Claudio, Borodina, Tatiana, Himmelbauer, Heinz |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2532726/ https://www.ncbi.nlm.nih.gov/pubmed/18660515 http://dx.doi.org/10.1093/nar/gkn425 |
Ejemplares similares
-
Summarizing and correcting the GC content bias in high-throughput sequencing
por: Benjamini, Yuval, et al.
Publicado: (2012) -
An analysis of the feasibility of short read sequencing
por: Whiteford, Nava, et al.
Publicado: (2005) -
RAMICS: trainable, high-speed and biologically relevant alignment of high-throughput sequencing reads to coding DNA
por: Wright, Imogen A., et al.
Publicado: (2014) -
Systematic bias in high-throughput sequencing data and its correction by BEADS
por: Cheung, Ming-Sin, et al.
Publicado: (2011) -
ROCker: accurate detection and quantification of target genes in short-read metagenomic data sets by modeling sliding-window bitscores
por: Orellana, Luis H., et al.
Publicado: (2017)