Statistical Approaches in Eukaryotic Gene Prediction
Summary
This chapter contains sections titled:
Structural Organization and Expression of Eukaryotic Genes
Methods of Functional Signal Recognition
Linear Discriminant Analysis
Prediction of Donor and Acceptor Splice Junctions
Identification of Promoter Regions in Human DNA
Recognition of PolyA Sites
Characteristics for Recognition of 3′-Processing Sites
Identification of Multiple Genes in Genomic Sequences
Discriminative and Probabilistic Approaches for Multiple Gene Prediction
Internal Exon Recognition
Recognition of Flanking Exons
Performance of Gene Identification Programs
Using Protein Similarity Information to Improve Gene Prediction
Genome Annotation Assessment Project (EGASP)
Annotation of Sequences from Genome Sequencing Projects
Characteristics and Computational Identification of miRNA genes
Prediction of microRNA Targets
Internet Resources for Gene Finding and Functional Site Prediction
Acknowledgments
References