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Research in computational molecular biology ; Vol. 3909 ; 10th Annual International Conference, RECOMB 2006, Venice, Italy, April 2-5, 2006, Proceeding
Contains the papers presented at the 10th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2006),which was held in Venice, Italy, on April 2–5, 2006.
Research in computational molecular biology ; 9th Annual international conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, Proceedings
From RECOMB 2005, the Steering Committee decided to publish the proceedings as a volume of Lecture Notes in Bioinf- matics (LNBI) for which the founders of RECOMB are also the editors. The prominent volume number LNBI 3500 was assigned to this proceedings. The RECOMB conference series is closely associated with the Journal of Compu- tional Biology which traditionally publishes special issues devoted to presenting full versions of selected conference papers.
Research in computational molecular biology ; 12th Annual International Conference, RECOMB 2008, Singapore, March 30 - April 2, 2008. Proceedings
This book constitutes the refereed proceedings of the 19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015, held in Warsaw, Poland, in April 2015. The 36 extended abstracts were carefully reviewed and selected from 170 submissions. They report on original research in all areas of computational molecular biology and bioinformatics.
Research in computational molecular biology ; 11th Annunal International Conference, RECOMB 2007, Oakland, CA, USA, April 21-25, 2007, Proceedings
This book constitutes the refereed proceedings of the 11th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2007, held in Oakland, CA, USA in April 2007.The 37 revised full papers address all current issues in algorithmic, theoretical, and experimental bioinformatics.
Computational genome analysis : An introduction
Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field.
Bioinformatics : Problem Solving Paradigms
This book highlights basic paradigms of problem analysis and algorithm design in the context of core bioinformatics problems. Mathematically demanding themes are put across to the reader by properly chosen representations with the aid of lots of illustrations.
