Cargando…
Grinder: a versatile amplicon and shotgun sequence simulator
We introduce Grinder (http://sourceforge.net/projects/biogrinder/), an open-source bioinformatic tool to simulate amplicon and shotgun (genomic, metagenomic, transcriptomic and metatranscriptomic) datasets from reference sequences. This is the first tool to simulate amplicon datasets (e.g. 16S rRNA)...
Autores principales: | Angly, Florent E., Willner, Dana, Rohwer, Forest, Hugenholtz, Philip, Tyson, Gene W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3384353/ https://www.ncbi.nlm.nih.gov/pubmed/22434876 http://dx.doi.org/10.1093/nar/gks251 |
Ejemplares similares
-
DEN-IM: dengue virus genotyping from amplicon and shotgun metagenomic sequencing
por: Mendes, Catarina I., et al.
Publicado: (2020) -
Taxonomic classification of metagenomic shotgun sequences with CARMA3
por: Gerlach, Wolfgang, et al.
Publicado: (2011) -
Shotgun haplotyping: a novel method for surveying allelic sequence variation
por: Lindsay, Sarah J., et al.
Publicado: (2005) -
Using shotgun sequence data to find active restriction enzyme genes
por: Zheng, Yu, et al.
Publicado: (2009) -
Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform
por: Schirmer, Melanie, et al.
Publicado: (2015)