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