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Research in Computational Molecular Biology: 17th Annual International Conference, RECOMB 2013, Beijing, China, April 7-10, 2013. Proceedings 2013 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 346 pages, height x width: 235x155 mm, weight: 557 g, 92 Illustrations, black and white; XVI, 346 p. 92 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Bioinformatics 7821
  • Izdošanas datums: 22-Mar-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642371949
  • ISBN-13: 9783642371943
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  • Cena: 46,91 €*
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Research in Computational Molecular Biology: 17th Annual International Conference, RECOMB 2013, Beijing, China, April 7-10, 2013. Proceedings 2013 ed.Palielināt
  • Formāts: Paperback / softback, 346 pages, height x width: 235x155 mm, weight: 557 g, 92 Illustrations, black and white; XVI, 346 p. 92 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Bioinformatics 7821
  • Izdošanas datums: 22-Mar-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642371949
  • ISBN-13: 9783642371943
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783642371943.html
Keywords:
This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequencing and genotyping technologies; genomics; epigenomics; metagenomics; population, statistical genetics; systems biology; computational proteomics; computational structural biology; imaging; large-scale data management.
Molecular sequence analysis.- Genes and regulatory elements.- molecular evolution.- Gene expression.- Biological networks.- sequencing and genotyping technologies.- Genomics.- epigenomics.- Metagenomics.- Population, statistical genetics.- Systems biology.- Computational proteomics.- Computational structural biology.- Imaging.- Large-scale data management.