Cargando…
Computing expectation values for RNA motifs using discrete convolutions
BACKGROUND: Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on computing Expectation values for RNA motifs defined by single-strand and helix lod-score profiles with variable helix spa...
Autores principales: | Lambert, André, Legendre, Matthieu, Fontaine, Jean-Fred, Gautheret, Daniel |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1168889/ https://www.ncbi.nlm.nih.gov/pubmed/15892887 http://dx.doi.org/10.1186/1471-2105-6-118 |
Ejemplares similares
-
Compo: composite motif discovery using discrete models
por: Sandve, Geir Kjetil, et al.
Publicado: (2008) -
Differential Repression of Alternative Transcripts: A Screen for miRNA Targets
por: Legendre, Matthieu, et al.
Publicado: (2006) -
Sequence determinants in human polyadenylation site selection
por: Legendre, Matthieu, et al.
Publicado: (2003) -
A universal RNA structural motif docking the elbow of tRNA in the ribosome, RNAse P and T-box leaders
por: Lehmann, Jean, et al.
Publicado: (2013) -
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
por: Luo, Jing, et al.
Publicado: (2023)