Compact Handbook of Computational BiologyA.K. Konopka, M. James C. Crabbe CRC Press, 30 באוג׳ 2004 - 572 עמודים The assimilation of computational methods into the life sciences has played an important role in advancing biological research. From sequencing genomes to discovering motifs in large collections of functionally equivalent sequences of nucleic acids and proteins, the value of powerful computational tools has become abundantly clear. The Compact Hand |
תוכן
| 1 | |
| 7 | |
Localization and Extraction | 47 |
Chapter 4 Protein Sequence Analysis and Prediction of Secondary Structural Features | 99 |
Chapter 5 Discrete Models of Biopolymers | 187 |
Chapter 6 Protein Structure Folding and Prediction | 223 |
Target Prediction | 241 |
An Overview | 279 |
Chapter 9 Computational Aspects of Comparative Genomics | 343 |
Chapter 10 Computational Methods for Studying the Evolution of the Mitochondrial Genome | 369 |
Computational Biology Annotated Glossary of Terms | 451 |
A Dictionary of Programs for Sequence Analysis | 503 |
| 537 | |
Back cover | 565 |
מהדורות אחרות - הצג הכל
Compact Handbook of Computational Biology <span dir=ltr>A.K. Konopka</span>,<span dir=ltr>M. James C. Crabbe</span> אין תצוגה מקדימה זמינה - 2004 |
Compact Handbook of Computational Biology <span dir=ltr>A K Konopka</span>,<span dir=ltr>M. James C. Crabbe</span> אין תצוגה מקדימה זמינה - 2019 |
מונחים וביטויים נפוצים
algorithm alphabet amino acid analysis application approach binding biology calculated cell common compared comparison complex Comput conserved considered consistency contains corresponding database defined derived described detection determined distance elements energy evolution evolutionary example expression factors FIGURE folding function gene genetic genome given human identified interactions involved known length matching matrix mean mechanism method mitochondrial Mol Biol molecular molecules motifs mtDNA multiple alignment mutation Nucleic Acids nucleotide observed occur optimal organisms original pairs pattern position possible potential prediction probability problem properties protein protein sequences provides regions repeats represented residue rules Science score secondary structure segments selection sequence sequence alignment similarity single specific statistical step strand string symbols technique transcription tree tRNA values weight
קטעים בולטים
עמוד 11 - In its simplest form it assumes that the specificity of a piece of nucleic acid is expressed solely by the sequence of its bases, and that this sequence is a (simple) code for the amino acid sequence of a particular protein.