Cargando…
Sequence biases in large scale gene expression profiling data
We present the results of a simple, statistical assay that measures the G+C content sensitivity bias of gene expression experiments without the requirement of a duplicate experiment. We analyse five gene expression profiling methods: Affymetrix GeneChip, Long Serial Analysis of Gene Expression (Long...
Autores principales: | Siddiqui, Asim S., Delaney, Allen D., Schnerch, Angelique, Griffith, Obi L., Jones, Steven J. M., Marra, Marco A. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1524917/ https://www.ncbi.nlm.nih.gov/pubmed/16840527 http://dx.doi.org/10.1093/nar/gkl404 |
Ejemplares similares
-
Large-scale profiling of microRNAs for The Cancer Genome Atlas
por: Chu, Andy, et al.
Publicado: (2016) -
Biases in Illumina transcriptome sequencing caused by random hexamer priming
por: Hansen, Kasper D., et al.
Publicado: (2010) -
Gene expression profiling of single cells on large-scale oligonucleotide arrays
por: Hartmann, Claudia H., et al.
Publicado: (2006) -
FANSe: an accurate algorithm for quantitative mapping of large scale sequencing reads
por: Zhang, Gong, et al.
Publicado: (2012) -
paraGSEA: a scalable approach for large-scale gene expression profiling
por: Peng, Shaoliang, et al.
Publicado: (2017)