Algorithms in Bioinformatics [electronic resource] : First International Workshop, WABI 2001 Århus Denmark, August 28–31, 2001 Proceedings / edited by Olivier Gascuel, Bernard M. E. Moret.
Material type:
TextSeries: Lecture Notes in Computer Science ; 2149Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001Description: X, 314 p. online resourceContent type: - text
- computer
- online resource
- 9783540446965
- 005.1 23
- QA76.9.A43
E-BOOKS
| Home library | Call number | Materials specified | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| IMSc Library | Link to resource | Available | EBK4968 |
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.
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