{"id":561,"date":"2023-02-22T14:09:18","date_gmt":"2023-02-22T14:09:18","guid":{"rendered":"https:\/\/pc-keeper.tech\/index.php\/2023\/02\/22\/parallel-computing-advancing-bioinformatics-applications\/"},"modified":"2023-02-22T14:09:18","modified_gmt":"2023-02-22T14:09:18","slug":"parallel-computing-advancing-bioinformatics-applications","status":"publish","type":"post","link":"https:\/\/pc-keeper.tech\/index.php\/2023\/02\/22\/parallel-computing-advancing-bioinformatics-applications\/","title":{"rendered":"Parallel Computing Advancing Bioinformatics Applications"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div>\n<p>IEEE Computer Society Team<\/p>\n<\/p><\/div>\n<div>\n<p style=\"color: #454545; font-size: 18px; font-family: Open Sans; font-weight: 400; line-height: 1.7em;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-332696 img-responsive alignright\" src=\"https:\/\/ieeecs-media.computer.org\/wp-media\/2023\/02\/21120442\/Advanced-parallel-computing-systems-for-bioinformatics.jpg\" alt=\"Advanced parallel computing systems for bioinformatics\" width=\"250\" height=\"250\" srcset=\"https:\/\/ieeecs-media.computer.org\/wp-media\/2023\/02\/21120442\/Advanced-parallel-computing-systems-for-bioinformatics.jpg 250w, https:\/\/ieeecs-media.computer.org\/wp-media\/2023\/02\/21120442\/Advanced-parallel-computing-systems-for-bioinformatics-150x150.jpg 150w, https:\/\/ieeecs-media.computer.org\/wp-media\/2023\/02\/21120442\/Advanced-parallel-computing-systems-for-bioinformatics-100x100.jpg 100w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\"\/>Advanced parallel computing systems have been used to transform, enhance, and accelerate different applications in various disciplines. These computing systems are characterized by exploiting the following types of parallelism: fine-grained, coarse-grained, thread-level, data-level, and request-level.<sup>1<\/sup> Each parallelism adds a different level of support and acceleration to a different discipline\u2019s application. One of the disciplines that have been enhanced and accelerated is bioinformatics. The discipline of bioinformatics is the application of tools of both analysis and computation to the interpretation and capturing of biological data.<sup>2<\/sup> Bioinformatics is an evolving discipline, and complex computing systems are needed to sort, analyze, predict, and store biological data. This data is often needed rapidly, and advanced parallel computing systems can meet and exceed this need.<\/p>\n<p style=\"color: #454545; font-size: 18px; font-family: Open Sans; font-weight: 400; line-height: 1.7em;\">Advanced parallel computing can accelerate the many bioinformatics applications and algorithms that range from computer-intensive to data-intensive.<sup>1<\/sup> This form of computing contains different types of systems in a wide range, from supercomputers to laptops. As a result of this range, advanced parallel computing systems propose the massive acceleration of bioinformatics applications and algorithms to produce high-level output. In addition, these parallel computing systems may use different technologies, architectures, and configurations to solve various issues and problems within bioinformatics applications.<sup>1<\/sup> Advanced parallel computing usage and designs also create a challenge that opens up a new realm of possibilities that can further accelerate bioinformatics applications and algorithms. This acceleration greatly benefits the field of bioinformatics.<\/p>\n<p>\u00a0<\/p>\n<hr style=\"width: 100%;\"\/>\n<p>\u00a0<\/p>\n<p style=\"text-align: center; color: #ff6600;\"><strong>Want More Tech News? Subscribe to <i>ComputingEdge<\/i> Newsletter Today!<\/strong><\/p>\n<p>\u00a0<\/p>\n<hr style=\"width: 100%;\"\/>\n<p>\u00a0<\/p>\n<h2 style=\"color: #002855; font-size: 24px; font-family: Montserrat; font-weight: 500; line-height: 29px;\">Download \u201cAccelerating Bioinformatics Applications via Emerging Parallel Computing Systems\u201d<\/h2>\n<hr style=\"text-align: left; width: 30%; height: 3px; color: #ffa300; background-color: #ffa300; border: none;\"\/>\n<p style=\"color: #454545; font-size: 18px; font-family: Open Sans; font-weight: 400; line-height: 1.7em;\">The IEEE\/ACM Transactions on Computational Biology and Bioinformatics volume 12, number 5 journal has a section entitled, \u201cAccelerating Bioinformatics Applications via Emerging Parallel Computing Systems,\u201d which provides information on the impact and role advanced parallel computing systems have on bioinformatics applications and algorithms. The section of this article provides a forum where you have access to eight original articles that focus on the practical aspects of the efficient design and implementation application of hardware architectures to accelerate bioinformatics issues.<sup>1<\/sup> The following eight original articles highlighted in this section are:<\/p>\n<ul style=\"padding-left: 5%; color: #454545; font-size: 18px; font-family: Open Sans; font-weight: 400; line-height: 1.7em; list-style-image: url('https:\/\/ieeecs-media.computer.org\/wp-media\/2021\/11\/17161248\/Icon_Right-Double-Arrow.png');\">\n<li>\u201cFHAST: FPGA-Based Acceleration of BOWTIE in Hardware\u201d by Edward B. Fernandez, Jason Villarreal, Stefano Lonardi, and Walid A. Najjar<\/li>\n<li>\u201cParallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems\u201d by Jorge Gonzalez-Dominguez, Lars Wienbrandt, Jan Christian Kassens, David Ellinghaus, Manfred Schimmler, and Bertil Schmidt<\/li>\n<li>\u201cConcurrent and Accurate Short Read Mapping on Multicore Processors\u201d by Hector Mart\u0131nez, Joaqu\u0131n Tarraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaqu\u0131n Dopazo, and Enrique S. QuintanaOrt\u0131<\/li>\n<li>\u201cParallel Mutual Information Based Construction of Genome-Scale Networks on the Intel<sup>\u00ae<\/sup> Xeon Phi\u2122 Coprocessor\u201d by Sanchit Misra, Kiran Pamnany, and Srinivas Aluru<\/li>\n<li>\u201cLarge-Scale Tissue Morphogenesis Simulation on Heterogenous Systems Based on a Flexible Biomechanical Cell Model\u201d by Anne Jeannin-Girardon, Pascal Ballet, and Vincent Rodin<\/li>\n<li>\u201cAn Application Specific Instruction Set Processor (ASIP) for Adaptive Filters in Neural Prosthetics\u201d by Yao Xin, Will X.Y. Li, Zhaorui Zhang, Ray C.C. Cheung, Dong Song, and Theodore W. Berger<\/li>\n<li>\u201cBoosting the FM-Index on the GPU: Effective Techniques to Mitigate Random Memory Access\u201d by Alejandro Chacon, Santiago Marco-Sola, Antonio Espinosa, Paolo Ribeca, and Juan Carlos Moure<\/li>\n<li>\u201cEfficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting\u201d by Thuy-Diem Nguyen, Bertil Schmidt, Zejun Zheng, and Chee-Keong Kwoh<\/li>\n<\/ul>\n<p style=\"color: #454545; font-size: 18px; font-family: Open Sans; font-weight: 400; line-height: 1.7em;\">Each of the articles mentioned provides a different level of insight into the acceleration of bioinformatics through advanced parallel computing.<\/p>\n<\/p><\/div>\n<p>[ad_2]<br \/>\n<br \/><a href=\"https:\/\/www.computer.org\/publications\/tech-news\/research\/parallel-computing-accelerating-bioinformatics-applications\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] IEEE Computer Society Team Advanced parallel computing systems have been used to transform, enhance, and accelerate different applications in&hellip;<\/p>\n","protected":false},"author":1,"featured_media":562,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[502,540,2],"tags":[],"class_list":["post-561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bioinformatics","category-parallel-computing","category-tech-news-post"],"_links":{"self":[{"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/posts\/561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/comments?post=561"}],"version-history":[{"count":0,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/posts\/561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/media\/562"}],"wp:attachment":[{"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/media?parent=561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/categories?post=561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pc-keeper.tech\/index.php\/wp-json\/wp\/v2\/tags?post=561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}