Read e-book online Parallel Computing for Bioinformatics and Computational PDF

By Albert Y. Zomaya

ISBN-10: 0471718483

ISBN-13: 9780471718482

Detect the way to streamline advanced bioinformatics purposes with parallel computing This ebook allows readers to address extra complicated bioinformatics functions and bigger and richer information units. because the editor basically indicates, utilizing robust parallel computing instruments may end up in major breakthroughs in decoding genomes, knowing genetic sickness, designing custom-made drug treatments, and figuring out evolution. A huge diversity of bioinformatics functions is roofed with demonstrations on how every one could be parallelized to enhance functionality and achieve quicker premiums of computation. present parallel computing strategies and applied sciences are tested, together with dispensed computing and grid computing. Readers are supplied with a mix of algorithms, experiments, and simulations that offer not just qualitative but in addition 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 reviews, jointly demonstrating how parallel computing streamlines tough difficulties in bioinformatics and produces larger effects. all of the chapters is authored via a longtime specialist within the box and punctiliously edited to make sure a constant process and excessive commonplace during the booklet. The paintings is geared up into 5 components: * Algorithms and types * series research and microarrays * Phylogenetics * Protein folding * systems and allowing applied sciences Researchers, educators, and scholars within the box of bioinformatics will notice how high-performance computing can allow them to deal with extra advanced facts units, achieve deeper insights, and make new discoveries.

Show description

Read or Download Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies PDF

Best bioinformatics books

's Lecture Notes in Computer Science, Volume 7833, Evolutionary PDF

This ebook constitutes the refereed complaints of the eleventh eu convention on Evolutionary Computation, desktop studying and knowledge Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 occasions EuroGP, EvoCOP, EvoMUSART and EvoApplications. the ten revised complete papers awarded including nine poster papers have been rigorously reviewed and chosen from quite a few submissions.

Statistical Methods in Bioinformatics: An Introduction by Warren J. Ewens, Gregory R. Grant PDF

Advances in desktops and biotechnology have had a tremendous impression at the biomedical fields, with large effects for humanity. Correspondingly, new components of likelihood and information are being built in particular to fulfill the desires of this region. there's now a need for a textual content that introduces chance and records within the bioinformatics context.

Read e-book online Bioinformatics Research and Development: Second PDF

This publication constitutes the refereed court cases of the Second foreign Bioinformatics examine and improvement convention, chook 2008, held in Vienna, Austria in July 2008. The forty nine revised complete papers awarded have been conscientiously reviewed and chosen. 30 papers are equipped in topical sections via eleven papers from the ALBIO workshop and eight papers from the PETRIN workshop.

Genome-Wide Association Studies and Genomic Prediction - download pdf or read online

With the specific genomic details that's now changing into to be had, we now have a plethora of information that enables researchers to handle questions in numerous components. Genome-wide organization experiences (GWAS) became an essential method of establish candidate areas linked to advanced illnesses in human drugs, creation characteristics in agriculture, and edition in wild populations.

Extra resources for Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies

Sample text

The interaction of each of the GA component, affecting the ability of the GA to search the space of available solutions and the design of an efficient GA to solve a particular problem, necessitates some understanding of how the individual components will work together. Their interaction is the primary driver of effective performance of the GA. The complex interactions of the GA components and the generality of the approach are both a strength and a weakness. Therefore, proper understanding of the approach allows one to avoid the weakness and exploit the strength of the GA approach.

The field of computational biology covers many areas: structural biology, biochemistry, physical chemistry, molecular biology, genomics and bioinformatics, control theory, statistics, mathematics, and computer science. Bioinformatics provides a wealth of potential challenges that can be used to advance the state of the art by creating scalable applications that can be used in customer environments. Thus, in computational biology, conducting research related to the realization of parallel/distributed scalable applications requires an understanding of the basics of all related fields.

It is desirable for individuals with significant shared characteristics to have similar fitness values. The fitness function should point the GA toward the correct value, rather than away from it. In contrast, choosing a representation for a problem is a critical design decision and defines the search space. The representation specifically should help preserve the building blocks of the problem. The interaction of each of the GA component, affecting the ability of the GA to search the space of available solutions and the design of an efficient GA to solve a particular problem, necessitates some understanding of how the individual components will work together.

Download PDF sample

Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies by Albert Y. Zomaya


by Thomas
4.4

Rated 4.46 of 5 – based on 21 votes