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Cancer is characterized by heterogeneous cells with capacity for self renewal, and selective pressures in the microenvironment which constantly change the cell population. This "descent with modification" is consistent with Darwin's definition of evolution, and accordingly, cancer progression can be captured from an evolutionary angle. However, there is also a clear difference between cancer progression and biological evolution. First, contrary to the evolution of complex organisms, cancer originates from cells of multicellular organisms that escape their constraints and behave like unicellular organisms. Therefore, from the beginning, cancer cells have complex genomes that contain abundant genetic materials which they can use to change their phenotype by dynamic rearrangements and modifications. Secondly, epigenetic effects promote cancer evolution in contrast to the evolution of life. Some tumors develop with minimal genetic alterations, and cell plasticity contributes to both initiation and progression in various tumors. However, an evolutionary theory that encompasses these characteristics of cancer remains to be developed.
This book constitutes the refereed proceedings of the 19th International Conference on Logic Programming, ICLP 2003, held in Mumbai, India in December 2003. The 23 revised full papers and 19 poster papers presented together with 5 invited full contributions and abstracts of 4 invited contributions were carefully reviewed and selected from 81 submissions. All current issues in logic programming are addressed.
A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of...
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was the result of the efforts of Robert Cleverdon. The rapidly developing discipline of molecular biology and the rapidly expanding knowledge of the PPLO were brought together at this meeting. In addition to the PPLO specialists, the conference invited Julius Marmur to compare PPLO DNA to DNA of other organisms; David Garfinkel, who was one of the first to develop computer models of metabolism; Cyrus Levinthal to talk about coding; and Henry Quastler to discuss information theory constraints on very small cells. The conference was an announcement of the role of PPLO in the fundamental understanding of molecular biology. Looking back 40-some years to the Connecticut meeting, it was a rather b...
This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex system approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.
A major challenge in grid computing remains the application software development for this new kind of infrastructure. Grid application programmers have to take into account several complicated aspects: distribution of data and computations, parallel computations on different sites and processors, heterogeneity of the involved computers, load balancing, etc. Grid programmers thus demand novel programming methodologies that abstract over such technical details while preserving the beneficial features of modern grid middleware. For this purpose, the authors introduce Higher-Order Components (HOCs). HOCs implement generic parallel/distributed processing patterns, together with the required middl...
This book constitutes the refereed proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching, CPM 2001, held in Jerusalem, Israel, in July 2001. The 21 revised papers presented together with one invited paper were carefully reviewed and selected from 35 submissions. The papers are devoted to current theoretical and algorithmic issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays as well as to advanced applications of CPM in areas such as the Internet, computational biology, multimedia systems, information retrieval, data compression, coding, computer vision, and pattern recognition.
"The first Pacific Symposium on Biocomputing (PSB), will be held January 3-6, 1996 at the Ritz Carlton Hotel on the Big Island of Hawaii. PSB will bring together top researchers from North America, the Asian Pacific nations, Europe, and around the world, to exchange research results and address open issues in all aspects of computational biology. Replacing and extending the last three years of Biotechnology Computing Tracks at the Hawaiian International Conference on System Sciences, PSB will provide a forum for the presentation of work in databases, algorithms, interfaces, visualization, modelling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB is focussed into 4 tracks, 4 minitracks, 2 workshops and includes two invited keynote speakers, viz., Logical Simulation of Biomolecular Information Pathways (Minoru Kanehisa, Kyoto Univ.) and CEX and the Single Chemist (David Weimger, DAYLIGHT Chemical Info. Syst.)"--Publisher's website.
The Pacific Symposium on Biocomputing brings together key researchers from the international biocomputing community. It is designed to be maximally responsive to the need for critical mass in subdisciplines within biocomputing. This book contains peer-reviewed articles in computational biology.