Algorithms in Bioinformatics

Algorithms in Bioinformatics

An improved model for statistical alignment (I. Mikls, Z. Toroczkai). Improving profile-profile alignments via log average scoring (N. von ohsen, R. Zimmer). False positive s in genomic map assembly and sequence validation (T. Anantharaman, B. Mishra). Boosting EM for radiation hybrid and genetic mapping (T. Schiex, P. Chabrier, M. Bouchez, D. Milan). Placing probes along the genome using pairwise distance data (W. Casey, B. Mishra, M. Wigler). Comparing a Hidden Markov model and a stochastic context-free grammar (A. Jagota, R. B. Lyngso, C. N. S. Pedersen). Assessing the statistical significance of overrepresented oligonucleotides (A. Denise, M. Rgnier, M. vandenbogaert). Pattern matching and pattern discovery algorithms for protein topologies (J. Viksna, D. Gilbert). Computing linking numbers of a filtration (H. Edelsbrusnner, A. Zomorodian). Side chain-positioning as an integer programming problem (O. Eriksson, Y. Zhou, A. Elofsson). A chemical-distance-based test for positive darwinian selection (T. Pupko, R. Sharan, M. Hasegawa, R. Shamir, D. Graur). Finding a maximum compatible tree for a bounded number of trees with bounded degree is solvable in polynominal time (G. Ganapathysaravanabavan, T. Warnow). Experiments in computing sequences of reversals (A. Bergeron, Franois Strasbourg). Exact-IEBP: a new technique for estimating evolutionary distances between whole genomes (Li-San Wang). Finding an optimal inversion median: experimental results (A. C. Siepel, B. M. E. Moret). Analytic solutions for three-taxon MLMC trees with variable rates across sites (B. Chor, M. Hendy, D. Penny). The performance of phylogenetic methods on trees of bounded diameter (L. nakhleh, U. Roshan, K. St. John, J. Sun, T. Warnow). (1+E)- approximation of sorting by reversals and transpositions (N. Eriksen). On the practical solution of the reversal median problem (A. Caprara). Algorithms for finding gene clusters (S. Heber, J. Stoye). Determination of binding amino acids based on random peptide array screening data (P. J. van der Veen, L. F. A. Wessels, J. W. Sloostra, R. H. Meloen, M. J. T. Reinders, J. Hellendoorn). A simple hyper-geometric approach for discovering putative transcription factor binding sites (Y. Barash, G. Bejerano, N. Friedman). Comparing assemblies using fragments and mate-pairs (D. H. Huson, A. L. Halpern, Z. Lai, E. W. myers, K. Reinert, G. G. Sutton). Author index.

Algorithms in Bioinformatics

Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data

Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data

Too often the Earth’s surface acted as a divide between seismologists and engineers. Now it is becoming clear that the building behaviour largely depends on the seismic input and the buildings on their turn act as seismic sources, in an intricate interplay that non-linear phenomena make even more complex. These phenomena are often the cause of observed damage enhancement during past earthquakes. While research may pursue complex models to fully understand soil dynamics under seismic loading, we need also simple models valid on average, whose results can be easily transferred to end users. Under the title ‘Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data’, we grouped several topics to be discussed together by engineers and seismologists: (1) Can we use ambient noise building and soil characterisation to extract useful information for engineers? (2) How we can tell apart a frequency decrease due to distributed damage, concentrated damage, time- varying building and soil behaviour? (3) Which is the role of transients in ambient noise analysis? (4) Can we quantify the influence of existing buildings on ground-motion recordings? (5) To which extent soil-building resonance is a cause of damage enhancement? (6) How to couple soil and building non-linear behaviour? On most questions there is an unanimous answer, but in some cases different views are present and the disagreement is faithfully reported.

Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data

Learning MySQL

Learning MySQL

Whether you’re running a business, keeping track of members andmeetings for a club, or just trying to organize a large and diversecollection of information, you’ll find the , , engineuseful for answering questions such as: Which are my top ten fastest-selling products? How frequently does this person come to our facility? What was the highest, lowest, and average score of the team last season?

Learning MySQL