Bioinformatics and the Cell Modern Computational Approaches in Genomics, Proteomics and Transcriptomics
A sample of the illustrated algorithms includes: String matching algorithms with associated statistics Sequence alignment with the affine function and profile alignment for multiple sequence alignment Contig assembly algorithms Perceptrons Hidden Markov models Gibbs sampler Self-organizing map Algor...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer US
2007, 2007
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| Edition: | 1st ed. 2007 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Blast and Fasta
- Sequence alignment
- Contig assembly
- DNA replication and viral evolution
- Gene and motif prediction
- Hidden Markov Models
- Gibbs Sampler
- Bioinformatics and vertebrate mitochondria
- Characterizing translation efficiency
- Protein isoelectric point
- Bioinformatics and Two-Dimensional Protein Separation
- Self-Organizing Map and other clustering Algorithms
- Molecular Phylogenetics
- Fundamentals of Proteomics