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Genomics [[electronic resource] /] / edited by Isidore Rigoutsos & Gregory Stephanopoulos



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Titolo: Genomics [[electronic resource] /] / edited by Isidore Rigoutsos & Gregory Stephanopoulos Visualizza cluster
Pubblicazione: Oxford ; ; New York, : Oxford University Press, c2007
Descrizione fisica: 1 online resource (337 p.)
Disciplina: 570
Soggetto topico: Computational biology
Genomics
Bioinformatics
Altri autori: RigoutsosIsidore  
StephanopoulosG  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Contents; Contributors; Systems Biology: A Perspective; 1 Prebiotic Chemistry on the Primitive Earth; 2 Prebiotic Evolution and the Origin of Life: Is a System-Level Understanding Feasible?; 3 Shotgun Fragment Assembly; 4 Gene Finding; 5 Local Sequence Similarities; 6 Complete Prokaryotic Genomes: Reading and Comprehension; 7 Protein Structure Prediction; 8 DNA-Protein Interactions; 9 Some Computational Problems Associated with Horizontal Gene Transfer; 10 Noncoding RNA and RNA Regulatory Networks in the Systems Biology of Animals; Index
Sommario/riassunto: 1. Prebiotic Chemistry on the Primitive Earth 3, Stanley L. Miller & H. James Cleaves. 2. Prebiotic Evolution and the Origin of Life: Is a System-Level Understanding Feasible? 57, Antonio Lazcano. 3. Shotgun Fragment Assembly 79, Granger Sutton & Ian Dew. 4. Gene Finding 118, John Besemer & Mark Borodovsky. 5. Local Sequence Similarities 154, Temple F. Smith. 6. Complete Prokaryotic Genomes: Reading and Comprehension 166, Michael Y. Galperin & Eugene V. Koonin. 7. Protein Structure Prediction 187, Jeffrey Skolnick & Yang Zhang. 8. DNA-Protein Interactions 219, Gary D. Stormo. 9. Some Computati
Titolo autorizzato: Genomics  Visualizza cluster
ISBN: 0-19-770209-0
1-280-84623-2
0-19-534577-0
1-4294-5930-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910784874603321
Lo trovi qui: Univ. Federico II
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Serie: Series in systems biology.