Algorithms in Bioinformatics
Olivier Gascuel
Sold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
Condition: New
Quantity: 1 available
Add to basketThis item is printed on demand - Print on Demand Titel. Neuware -An Improved Model for Statistical Alignment.- Improving Profile-Profile Alignments via Log Average Scoring.- False Positives in Genomic Map Assembly and Sequence Validation.- Boosting EM for Radiation Hybrid and Genetic Mapping.- Placing Probes along the Genome Using Pairwise Distance Data.- Comparing a Hidden Markov Model and a Stochastic Context-Free Grammar.- Assessing the Statistical Significance of Overrepresented Oligonucleotides.- Pattern Matching and Pattern Discovery Algorithms for Protein Topologies.- Computing Linking Numbers of a Filtration.- Side Chain-Positioning as an Integer Programming Problem.- A Chemical-Distance-Based Test for Positive Darwinian Selection.- Finding a Maximum Compatible Tree for a Bounded Number of Trees with Bounded Degree Is Solvable in Polynomial Time.- Experiments in Computing Sequences of Reversals.- Exact-IEBP: A New Technique for Estimating Evolutionary Distances between Whole Genomes.- Finding an Optimal Inversion Median: Experimental Results.- Analytic Solutions for Three-Taxon MLMC Trees with Variable Rates Across Sites.- The Performance of Phylogenetic Methods on Trees of Bounded Diameter.- (1+ )-Approximation of Sorting by Reversals and Transpositions.- On the Practical Solution of the Reversal Median Problem.- Algorithms for Finding Gene Clusters.- Determination of Binding Amino Acids Based on Random Peptide Array Screening Data.- A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites.- Comparing Assemblies Using Fragments and Mate-Pairs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 324 pp. Englisch.
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