Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Online ISBN: 9780470011539

DOI: 10.1002/047001153X

Browse by Topic

  1. Bacteria and other Pathogens
  2. Basic Techniques and Approaches
  3. Comparative Analysis and Phylogeny
  4. Complex Traits and Diseases
  5. Computational Methods for High-throughput Genetic Analysis: Expression Profiling
    1. A comparison of existing tools for ontological analysis of gene expression data
    2. Algorithms for gene expression analysis
    3. CGH data analysis
    4. Data standardization and the HUPO proteomics standards initiative
    5. Differential expression with the Bioconductor Project
    6. Experimental design
    7. Extracting networks from expression data
    8. Integrating statistical approaches in experimental design and data analysis
    9. Large error models for microarray intensities
    10. Low-level analysis of oligonucleotide expression arrays
    11. Mass spectrometric data mining for protein sequences
    12. Mass spectrometry and computational proteomics
    13. Relevance networks
    14. Statistical methods for gene expression analysis
  6. Core Methodologies
  7. Cytogenetics
  8. Epigenetics
  9. EST's: Cancer Genes and the Anatomy Project
  10. Expression Profiling
  11. Expression Proteomics
  12. Functional Proteomics
  13. Gene Finding and Gene Structure
  14. Gene Mapping
  15. Gene Therapy
  16. Genetic Medicine and Clinical Genetics
  17. Genetic Variation and Evolution
  18. Genome Assembly and Sequencing
  19. Genome Sequencing
  20. Introductory Review
  21. Mapping
  22. Mapping of Biochemical Networks
  23. Methods for Structure Analysis and Prediction
  24. Model Organisms: Functional and Comparative Genomics
  25. Modern Programming Paradigms in Biology
  26. Protein Function and Annotation
  27. Proteome Diversity
  28. Proteome Families
  29. Short Specialist Review
  30. SNPs/Haplotypes
  31. Specialist Review
  32. Structural Proteomics
  33. Structuring and Integrating Data
  34. Systems Biology
  35. The Human Genome

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