標題: Titlebook: Distributed and Sequential Algorithms for Bioinformatics; Kayhan Erciyes Textbook 2015 Springer International Publishing Switzerland 2015 [打印本頁] 作者: 服裝 時間: 2025-3-21 16:26
書目名稱Distributed and Sequential Algorithms for Bioinformatics影響因子(影響力)
書目名稱Distributed and Sequential Algorithms for Bioinformatics影響因子(影響力)學科排名
書目名稱Distributed and Sequential Algorithms for Bioinformatics網(wǎng)絡公開度
書目名稱Distributed and Sequential Algorithms for Bioinformatics網(wǎng)絡公開度學科排名
書目名稱Distributed and Sequential Algorithms for Bioinformatics被引頻次
書目名稱Distributed and Sequential Algorithms for Bioinformatics被引頻次學科排名
書目名稱Distributed and Sequential Algorithms for Bioinformatics年度引用
書目名稱Distributed and Sequential Algorithms for Bioinformatics年度引用學科排名
書目名稱Distributed and Sequential Algorithms for Bioinformatics讀者反饋
書目名稱Distributed and Sequential Algorithms for Bioinformatics讀者反饋學科排名
作者: Friction 時間: 2025-3-21 23:39 作者: 個阿姨勾引你 時間: 2025-3-22 03:08 作者: 小步走路 時間: 2025-3-22 07:44
Parallel and Distributed Computinge rest of the book. Parallel computing involves concurrent execution of a number of tasks on a set of processors. Partitioning the job to be done to processes, distribution of these processes to processors and synchronization among tasks are the key issues to be addressed in a parallel computing sys作者: 行為 時間: 2025-3-22 10:06 作者: 諄諄教誨 時間: 2025-3-22 15:23
Sequence Alignment sequence analysis tasks to quantify the similarities between the sequences. The goal of sequence alignment is to transform one sequence to another with minimum number of modifications. It can be performed in polynomial time between two sequences but heuristics are commonly used to compare multiple 作者: 諄諄教誨 時間: 2025-3-22 19:51
Clustering of Biological Sequencesbjects under consideration. Our aim in this chapter is to describe and analyze clustering algorithms for biological sequences. Classical algorithms may be used for this purpose; however, even the polynomial time algorithms may be time-consuming for DNA, and protein sequences which have very large si作者: Ptosis 時間: 2025-3-22 21:47 作者: 大約冬季 時間: 2025-3-23 04:05
Genome AnalysisDetecting the location of genes in DNA is needed to analyze them efficiently. Gene finding algorithms for this purpose can be classified as statistical and comparison-based methods. The first scheme searches statistically more frequently appearing sequences such as the start and terminating codons, 作者: 碌碌之人 時間: 2025-3-23 07:55 作者: contrast-medium 時間: 2025-3-23 13:43 作者: Antarctic 時間: 2025-3-23 17:19
Network Motif Search it, and these structures are considered as the building blocks of biological networks. Discovery of such motifs is important as it gives insight to the functioning of a network and also provides an alternative means to compare and analyze two or more biological networks. If two networks have common作者: 平躺 時間: 2025-3-23 20:06
Network Alignmentof two or more networks is the process of searching for similarities between them. This task requires mapping nodes of one network to another by associating some similarity measure with the aim of pairing nodes that have the highest affinity. Network alignment is needed to compare biological network作者: Cardiac 時間: 2025-3-24 00:28 作者: Frequency-Range 時間: 2025-3-24 04:14 作者: 熱烈的歡迎 時間: 2025-3-24 08:51 作者: 香料 時間: 2025-3-24 10:56
Computational Biologyhttp://image.papertrans.cn/e/image/281973.jpg作者: 保全 時間: 2025-3-24 15:15 作者: athlete’s-foot 時間: 2025-3-24 19:22 作者: 銀版照相 時間: 2025-3-25 01:03
Intergovernmental Agencies Related to the UN. We first review the functions of various structures in the cell. The important molecules in the cell are the DNA, RNA, proteins, and mitochondria. DNA is made of small molecules called . and contains . which are sequences of nucleotides. These sequences in genes are used to form RNA in the . proce作者: Preserve 時間: 2025-3-25 06:03
Intergovernmental Agencies Related to the UN regard to biological networks. An algorithm is a set of instructions to solve a given problem. We introduce basic algorithmic concepts and methods such as greedy and divide and conquer strategies with emphasis on the commonly used approaches of dynamic programming and graph algorithms in bioinforma作者: 潛伏期 時間: 2025-3-25 09:11 作者: 使成整體 時間: 2025-3-25 13:48
https://doi.org/10.1057/9780230270336ch for a pattern in a longer text of symbols. Approximate string matching allows a given number of mismatches of the pattern in the text. We will see there are polynomial time algorithms for both cases. However, the sizes of DNA nucleotide and protein amino acid sequences being large necessitate the作者: AUGUR 時間: 2025-3-25 16:21
https://doi.org/10.1057/9780230270336 sequence analysis tasks to quantify the similarities between the sequences. The goal of sequence alignment is to transform one sequence to another with minimum number of modifications. It can be performed in polynomial time between two sequences but heuristics are commonly used to compare multiple 作者: 牛馬之尿 時間: 2025-3-25 20:37 作者: Dna262 時間: 2025-3-26 02:18 作者: 殺菌劑 時間: 2025-3-26 05:16 作者: 不知疲倦 時間: 2025-3-26 11:35 作者: 考博 時間: 2025-3-26 14:20 作者: 未完成 時間: 2025-3-26 16:52
https://doi.org/10.1057/9780230270336 it, and these structures are considered as the building blocks of biological networks. Discovery of such motifs is important as it gives insight to the functioning of a network and also provides an alternative means to compare and analyze two or more biological networks. If two networks have common作者: 一再困擾 時間: 2025-3-26 22:19 作者: Allodynia 時間: 2025-3-27 02:45 作者: Substance-Abuse 時間: 2025-3-27 07:31
https://doi.org/10.1057/9780230253148nalysis, disease analysis, and bioinformatics education. Management of big data requires specialized middleware, special methods such as data mining, and also parallel/distributed algorithms which is the main topic of this book. Disease analysis in search of cures and drug therapies is probably one 作者: Constant 時間: 2025-3-27 09:40
https://doi.org/10.1007/978-3-319-24966-7Bioinformatics Algorithms; Biological Networks; DNA Sequence Analysis; Distributed Algorithms; Parallel 作者: 剛毅 時間: 2025-3-27 16:11 作者: Nucleate 時間: 2025-3-27 20:51
1568-2684 h DNA sequences and biological networks.Covers the key featu.This unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant 作者: REIGN 時間: 2025-3-27 23:45 作者: savage 時間: 2025-3-28 02:13 作者: Euphonious 時間: 2025-3-28 07:07 作者: 辮子帶來幫助 時間: 2025-3-28 13:09
https://doi.org/10.1057/9780230270336graphs called . and aligning two or more networks as we discuss. We will see these networks have interesting features such as ., . properties which are not found in random networks. All of these problems are discussed in detail in the rest of this part of the book.作者: PHIL 時間: 2025-3-28 17:30
https://doi.org/10.1057/9780230270336ustering algorithms can be used for biological networks, we present algorithms that are frequently used for networks in the cell. There are a number of reported distributed clustering algorithms as we describe and we also propose two new algorithms for this purpose.作者: miscreant 時間: 2025-3-28 18:48 作者: 依法逮捕 時間: 2025-3-29 02:42 作者: Adulate 時間: 2025-3-29 03:52 作者: Yourself 時間: 2025-3-29 09:36
Intergovernmental Agencies Related to the UNowever, in many cases there are no approximation algorithms known to date and heuristics which are commonsense methods shown to work for most of the input combinations are used. We provide a brief survey of complexity classes and these mentioned methods in the final part.作者: 搜尋 時間: 2025-3-29 12:50
https://doi.org/10.1057/9780230270336uences and multiple alignment methods work on a set of sequences. In this chapter; we describe algorithms, methods, and tools for these different forms of sequence alignment starting with sequential algorithms and then we detail distributed versions of these algorithms.作者: Dissonance 時間: 2025-3-29 19:04
https://doi.org/10.1057/9780230270336h can be used for this purpose. There are a number of distributed algorithms for sequence clustering as we discuss. Four new algorithms and a general method for graph partitioning are also proposed which can be implemented in a distributed memory system conveniently.作者: 眼界 時間: 2025-3-29 22:53 作者: fetter 時間: 2025-3-30 03:57 作者: 箴言 時間: 2025-3-30 06:12
Sequence Alignmentuences and multiple alignment methods work on a set of sequences. In this chapter; we describe algorithms, methods, and tools for these different forms of sequence alignment starting with sequential algorithms and then we detail distributed versions of these algorithms.作者: 注意到 時間: 2025-3-30 11:28
Clustering of Biological Sequencesh can be used for this purpose. There are a number of distributed algorithms for sequence clustering as we discuss. Four new algorithms and a general method for graph partitioning are also proposed which can be implemented in a distributed memory system conveniently.作者: epinephrine 時間: 2025-3-30 15:15
Epilogue The main future directions of research in bioinformatics, as we see it, will probably be along the same lines of investigation into efficient big data analysis methods including parallel/distributed algorithm implementations; and disease analysis together with more personal medication applications.作者: 著名 時間: 2025-3-30 20:36 作者: 加花粗鄙人 時間: 2025-3-30 23:01
Parallel and Distributed Computinglled and parallel processes must be synchronized as we discuss. We provide a brief review of POSIX threads which can be used for parallel processing. Distributed algorithms synchronize using messages; we show common structures of these algorithms and illustrate the widely used message passing interf作者: 疼死我了 時間: 2025-3-31 02:34
String Algorithms them and survey a number of reported parallel/distributed approaches to build these structures. A suffix array is a compact representation of the suffixes of a string as we discuss. We sketch a possible implementation of a reported study of distributed suffix array construction.
