Book One
Contents
Prediction
PDFFinding Genes in DNA Using Decision Trees and Dynamic Programming
PDFPreface
PDFGene Prediction by Pattern Recognition and Homology Search
PDFHinCyc: A Knowledge Base of the Complete Genome and Metabolic Pathways of H. influenzae
PDFCharacterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models
PDFDiscovering Empirically Conserved Amino Acid Substitution Groups in Databases of Protein Families
PDFFrom Electron Density and Sequence to Structure: Integrating Protein Image Analysis and Threading for Structure Determination
PDFA Grammar-Based Unification of Several Alignment and Folding Algorithms
PDFGeneFisher–Software Support for the Detection of Postulated Genes
PDFA Probabilistic Classification System for Predicting the Cellular Localization Sites of Proteins
PDFUsing Iterative Dynamic Programming to Obtain Accurate Pairwise and Multiple Alignments of Protein Structures
PDFA Top-Down Approach to Whole Genome Visualization
PDFThe Megaprior Heuristic for Discovering Protein Sequence Patterns
PDFInferring Relatedness of a Macromolecule to a Sequence Database Without Sequencing
PDFA Generalized Hidden Markov Model for the Recognition of Human Genes in DNA
PDFGenome-Scale DNA Sequence Recognition by Hybridization to Short Oligomers
PDFImproving the Quality of Automatic DNA Sequence Assembly Using Fluorescent Trace-Data Classifications
PDFThe Mathematical Model of Subtractive Hybridization and Its Practical Application
PDFA Sequence Similarity Search Algorithm Based on a Probabilistic Interpretation of an Alignment Scoring System
PDFGood Maps Are Straight
PDFCompact Encoding Strategies for DNA Sequence Similarity Search
PDFGene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
PDFApplications of GeneMark in Multispecies Environments
PDFParameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation
PDFDiscovering Patterns and Subfamilies in Biosequences
PDFOntological Foundations for Biology Knowledge Models
PDFRefining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
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