Cargando…
Orphelia: predicting genes in metagenomic sequencing reads
Metagenomic sequencing projects yield numerous sequencing reads of a diverse range of uncultivated and mostly yet unknown microorganisms. In many cases, these sequencing reads cannot be assembled into longer contigs. Thus, gene prediction tools that were originally developed for whole-genome analysi...
Autores principales: | Hoff, Katharina J., Lingner, Thomas, Meinicke, Peter, Tech, Maike |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2703946/ https://www.ncbi.nlm.nih.gov/pubmed/19429689 http://dx.doi.org/10.1093/nar/gkp327 |
Ejemplares similares
-
Gene prediction in metagenomic fragments: A large scale machine learning approach
por: Hoff, Katharina J, et al.
Publicado: (2008) -
An unsupervised classification scheme for improving predictions of prokaryotic TIS
por: Tech, Maike, et al.
Publicado: (2006) -
Mixture models for analysis of the taxonomic composition of metagenomes
por: Meinicke, Peter, et al.
Publicado: (2011) -
Exploring Neighborhoods in the Metagenome Universe
por: Aßhauer, Kathrin P., et al.
Publicado: (2014) -
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
por: Meinicke, Peter, et al.
Publicado: (2004)