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The use of covariance models to annotate RNAs in whole genomes
- Source :
- Briefings in Functional Genomics and Proteomics. 8:444-450
- Publication Year :
- 2009
- Publisher :
- Oxford University Press (OUP), 2009.
-
Abstract
- In this review we discuss bioinformatic issues in non-coding RNA analysis, in particular the annotation of genome sequences using covariance models. Some recent innovations for improving the speed and accuracy of covariance models is discussed.
- Subjects :
- Genetics
Genome
Models, Statistical
RNA, Untranslated
Models, Genetic
Sequence Analysis, RNA
ComputingMethodologies_SIMULATIONANDMODELING
Sequence analysis
MathematicsofComputing_NUMERICALANALYSIS
Computational Biology
RNA
Computational biology
Covariance
Biology
Quantitative Biology::Genomics
Biochemistry
Annotation
ComputingMethodologies_PATTERNRECOGNITION
RNA analysis
Animals
Humans
Molecular Biology
Subjects
Details
- ISSN :
- 14774062 and 14739550
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Briefings in Functional Genomics and Proteomics
- Accession number :
- edsair.doi.dedup.....51fafb0d0311eb6d08b5dc348d7d47be
- Full Text :
- https://doi.org/10.1093/bfgp/elp042