By Albert Y. Zomaya
Realize find out how to streamline complicated bioinformatics functions with parallel computingThis booklet allows readers to deal with extra advanced bioinformatics functions and bigger and richer info units. because the editor truly indicates, utilizing strong parallel computing instruments can result in major breakthroughs in decoding genomes, realizing genetic disorder, designing custom-made drug remedies, and realizing evolution.A large variety of bioinformatics purposes is roofed with demonstrations on how every one may be parallelized to enhance functionality and achieve speedier premiums of computation. present parallel computing thoughts and applied sciences are tested, together with allotted computing and grid computing. Readers are supplied with a mix of algorithms, experiments, and simulations that supply not just qualitative but additionally quantitative insights into the dynamic box of bioinformatics.Parallel Computing for Bioinformatics and Computational Biology is a contributed paintings that serves as a repository of case experiences, jointly demonstrating how parallel computing streamlines tricky difficulties in bioinformatics and produces higher effects. all of the chapters is authored via a longtime professional within the box and thoroughly edited to make sure a constant procedure and excessive usual during the publication.The paintings is geared up into 5 parts:* Algorithms and versions* series research and microarrays* Phylogenetics* Protein folding* structures and permitting technologiesResearchers, educators, and scholars within the box of bioinformatics will notice how high-performance computing can let them to address extra advanced info units, achieve deeper insights, and make new discoveries.
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Extra resources for Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies (Wiley Series on Parallel and Distributed Computing)
The algorithm keeps on repeating expectations and maximizations until the likelihood converges to a maximum. The theoretical advantages of EM search are: less computation time per iteration, increased likelihood on each iteration, good initial convergence properties, exact expressions for derivatives of the likelihood, and ease of generalization. However, the problem is also stated as the construction of multi-locus linkage maps in humans or as a missing data problem. The efﬁcient solutions are to determine the expected number of recombinations that occur in each interval, given the recombination fractions θ = (θ1 , θ2 , .
However, it is not known a priori which atom in molecule B corresponds to a given atom in molecule A (the two molecules may not even have the same number of atoms). Structure is believed to be more closely related to function of proteins than sequence. Structural alignment makes clear the common ancestry of two or more proteins (if such a common ancestry exists). It allows identiﬁcation of common substructures of interest and it allows classiﬁcation of proteins based on structural similarities.
This ﬁeld is known as bioinformatics. 2 BIOINFORMATICS 13 BIOINFORMATICS Bioinformatics is a subset of a larger area of computational molecular biology which includes the application of computer and information science to areas such as genomics, mapping, sequencing, and determination of sequence and structure by classical means. The primary goals of bioinformatics are predicting three-dimensional structure from primary sequences, predicting biological or biophysical functions from either sequence or structure, and simulating metabolism and other biological processes based on these functions.
Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies (Wiley Series on Parallel and Distributed Computing) by Albert Y. Zomaya