James D. Watson. The human genome project: Past, present, and future. Science, 248:44--49, 1990.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....yet be thinking about running larger problems than they are running today. Here s the list, in alphabetic order, including quantitative information that was readily available: A search [EHMN90] a heuristic search algorithm. Blackboard systems [Cor91, Dav92] Computational biology [Can90, NGHG 91, Wat90]. The human genome project is attempting to determine the human DNA sequence of 3 billion base pairs. Computational fluid dynamics [Has87, MK91, SBGM91] Conjugate gradient methods [Chr91] Thanks to Cindy Phillips. 1.1. Who needs virtual memory for data parallel computing 11 . Genetic ....

James D. Watson. The human genome project: Past, present, and future. Science, 248:44--49, 1990.

....by hybridization. NAR, 18:2653 2660, 1990. 2 Tel Aviv University Department of Computer Science School of Mathematics Algorithms for Molecular Biology c fl Ron Shamir and Dalit Naor April 1996 Bibliography on Physical Mapping ffl History and background: 1, 2] ffl Human Genome Project: [3, 4, 5, 6, 7, 8] ffl Reviews and surveys: 9, 4, 5, 10, 11] 12, 13, 14] 15, 16, 17] ffl Mapping experiments: 18, 19, 20, 21, 22, 23] 24, 25, 26] radiation hybrids: 27, 28, 29] ffl Theoretical statistical analyses: 30, 31, 32] 33, 34, 35, 36, 37] ffl Complexity and algorithmic papers: 38, 39, 40, 41, ....

.... 2 Tel Aviv University Department of Computer Science School of Mathematics Algorithms for Molecular Biology c fl Ron Shamir and Dalit Naor April 1996 Bibliography on Physical Mapping ffl History and background: 1, 2] ffl Human Genome Project: 3, 4, 5, 6, 7, 8] ffl Reviews and surveys: [9, 4, 5, 10, 11] [12, 13, 14] 15, 16, 17] ffl Mapping experiments: 18, 19, 20, 21, 22, 23] 24, 25, 26] radiation hybrids: 27, 28, 29] ffl Theoretical statistical analyses: 30, 31, 32] 33, 34, 35, 36, 37] ffl Complexity and algorithmic papers: 38, 39, 40, 41, 42, 43] 44, 45, 46, 47] 48, 49, 50, 51] ....

J. D. Watson. The human genome project: Past, present and future. Science, 248:44--49, 1990.

.... finite state automata (FSAs) As in kbann, FSkbann translates the state based domain theory into a neural network, and refines the network using backpropagation (Rumelhart et al. 1986) The protein folding problem is an open problem that is increasingly critical as the Human Genome Project (Watson, 1990) proceeds. The Chou Fasman algorithm is a well known and widely used solution. The proteinfolding problem is also interesting because many machine learning techniques have been applied to it, including neural networks (Holley Karplus, 1989; Qian Sejnowski, 1988) inductive logic programming ....

Watson, J. (1990). The Human Genome Project: Past, present, and future. Science, 248:44--48.

....bases are present in DNA: adenine (A) thymine (T) cytosine (C) and guanine (G) A DNA sequence is a particular order of these bases arranged along the backbone of the DNA molecule. 5 The advent of rapid DNA sequencing technology in the mid 1970s and the work of the Human Genome Project [Wat90] have led to the production of large amounts of DNA sequence data of little known function. The most common approach to relating an anonymous DNA sequence to its genomic function is by comparing its sequence to one or more sequences of a known function. These sequences of known function are now ....

J. D. Watson. The Human Genome Project: Past, present, and future. Science, (248):4451, 1990.

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Watson JD. The human genome project: past, present, and future. Science 1990; 248:44-49. 309

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James D. Watson. The human genome project: Past, present, and future. Science, 248:44--49, 1990.

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