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Bioinformatics: Genes, Proteins and Computers: Advanced Texts

Editat de Christine Orengo, David Jones, Janet Thornton
en Limba Engleză Paperback – noi 2002
Bioinformatics, the use of computers to address biological questions, has become an essential tool in biological research. It is one of the critical keys needed to unlock the information encoded in the flood of data generated by genome, protein structure, transcriptome and proteome research.
Bioinformatics: Genes, Proteins & Computers covers both the more traditional approaches to bioinformatics, including gene and protein sequence analysis and structure prediction, and more recent technologies such as datamining of transcriptomic and proteomic data to provide insights on cellular mechanisms and the causes of disease.
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Specificații

ISBN-13: 9781859960547
ISBN-10: 1859960545
Pagini: 320
Dimensiuni: 210 x 280 x 16 mm
Greutate: 0.66 kg
Ediția:2002
Editura: CRC Press
Colecția Taylor & Francis
Seria Advanced Texts

Locul publicării:Oxford, United States

Public țintă

Postgraduate, Professional, and Undergraduate

Cuprins

1. Molecular Evolution. 2. Gene Finding. 3. Sequence Comparison Methods. 4. Amino Acid Residue Conservation. 5. Function Prediction From Protein Sequence. 6. Protein Structure Comparison. 7. Protein Structure Classifications. 8. Comparative Modelling. 9. Protein Structure Prediction. 10. From Protein Structure to Function. 11. From Structure-Based Genome Annotation to Understanding Genes and Proteins. 12. Global Approaches for Studying Protein-Protein Interactions. 13. Predicting The Structure of Protein-Biomolecular Interactions. 14. Experimental Use of DNA Arrays. 15. Mining Gene Expression Data 16. Proteomics. 17. Data Management of Biological Information. 18. Internet Technologies for Bioinformatics.

Notă biografică

Orengo, Christine; Jones, David; Thornton, Janet

Descriere

Bioinformatics: Genes, Proteins and Computers takes the reader through the more traditional approaches to the subject and introduces more recent technologies such as data mining of transcriptomic and proteomic data.