[PDF] Top 20 iMAGA: INTRON MULTIPLE ALIGNMENT USING GENETIC ALGORITHM
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iMAGA: INTRON MULTIPLE ALIGNMENT USING GENETIC ALGORITHM
... modified genetic algorithm is examined by analyzing the initial experimental results for processing time and the identified matches by taking intron as test data ...simple genetic ... See full document
10
DNA Multiple Sequence Alignment by a Hidden Markov Model and Fuzzy Levenshtein Distance based Genetic Algorithm
... new genetic operators that direct the GA towards better ...Levenshtein algorithm to compute the edit distance between strings, such as DNA ...a genetic algorithm, based on Hidden Markov Model ... See full document
5
Diversity of marine-derived fungal cultures exposed by DNA barcodes: the algorithm matters
... the multiple sequence alignment algorithm and evolutionary distance estimator in automatic OTU identification via ABGD was ...sequence alignment and genetic distance evaluation, are ... See full document
22
“A Heuristic Technique for Alignment of Multiple Biological Sequences Using Enhanced Evolutionary Algorithm” by Manish Kumar, India.
... 9 multiple sequence alignment relies very much on optimization ...of genetic algorithm and simulated annealing was a way that can be used to solve MSA ...10 genetic algorithm ... See full document
5
Analysing Multiple DNA Sequence Alignment Algorithms Smith Waterman Algorithm and Parallel Smith Waterman Algorithm
... Abstract— Multiple DNA sequence alignment is one of the important research topics of ...of genetic expression and ...of genetic expression and ... See full document
6
An Elitist Model for Obtaining Alignment of Multiple Sequences using Genetic Algorithm
... ABSTRACT: Multiple Sequence Alignment is a well known and computationally one of the most challenging problem in the field of molecular ...An alignment is basically the arrangement of two (pair-wise ... See full document
7
Molecular Footprint of Kenya’s Gene Bank Repositories Based on the cp Genome Signatures
... inferred. Multiple sequence alignments were performed by BioEdit and the intra- and infraspecific genetic divergences were calculated using MEGA 6 beta software [53] according to the Kimura ... See full document
30
P-Coffee: A New Divide-and-conquer Method for Multiple Sequence Alignment
... objective function that can distinguish biologically meaningful alignment in any situation. The most widely used objective functions for sequence alignment are substitution matrices. A substitution matrix ... See full document
80
Diversify and Combine: Improving Word Alignment for Machine Translation on Low Resource Languages
... an alignment selection approach was proposed in (Huang, 2009), which com- putes confidence scores for each link and prunes the links from multiple sets of alignments using a hand-picked ...of ... See full document
5
Application multicriteria decision making method to determine the placement of auto recloser circuit breaker in power distribution system
... 14 alternatives are determined by making pairwise comparisons. In pairwise comparison, the decision maker examines two alternatives by considering one criterion and indicates a preference [8-9]. These comparisons are ... See full document
37
Multiple Alignment of Structures using Center of Proteins
... an algorithm that claims to solve a problem has to produce proof of correctness and upper bounds on execution ...and multiple protein sequence/structure alignment ... See full document
105
Spectrum Utilization using Genetic Algorithm in Cognitive Radio Technology Multiple primary and multiple secondary
... The primary user channel is divided into time slots. Each time slot consist n bits. By using k bits(sensing bits) in each time slot he can check the status of the channel. If the channel is free transfer the ... See full document
6
The Use of a Genetic Algorithm for Simultaneous Mapping of Multiple Interacting Quantitative Trait Loci
... of multiple interacting quantitative trait loci ...a genetic algorithm to search for QTL in the genome instead of an exhaustive enumerative (“step-by-step”) ...when using genetic ... See full document
8
Multiple Alignment of Protein Interaction Networks by Three-Index Assignment Algorithm
... calculated using BLAST ...our algorithm and conclude that our algorithm produces alignment results that have more biological significance in comparison to ... See full document
92
Efficient and Effective Duplicate Detection Evaluating Multiple Data using Genetic Algorithm
... Often, in the real world, entities have two or more representations in databases. Duplicate records do not share a common key and/or they contain errors that make duplicate matching a difficult task. Errors are ... See full document
6
Joint Beamforming, Power and Channel Allocation in Multi-User and Multi-Channel Underlay MIMO Cognitive Radio Networks K. C. Sriharipriya, R. V. Haripriya, R. Joshnadevi
... Sonar arrays are used both actively and passively in 1-, 2- and 3-dimensional array. The beamforming technique is deployed in sonar to compensate the significant problem of slower propagation speed of sound as compared ... See full document
7
Exploring Genetic Algorithms to Solve QoS Dr. Gaytri Devi, Rajesh Dawar
... It starts with an initial set of random solutions called population. Population evolve through successive iterations to obtain new and improved generation. During each iteration of the algorithm, each solution in ... See full document
6
Word Alignment in English Hindi Parallel Corpus Using Recency Vector Approach: Some Studies
... Using Somers’ second filter on each corpus for the optimum segment we found that the results at low scores were better as shown in Figure 1. The word pairs obtained after applying the modified approach can be used ... See full document
8
Generation of Reduced Test Vectors for Multiple Stuck at Faults using Genetic Algorithm
... of Genetic Algorithm for the detection of SSA faults and MSA ...proposed algorithm is applied for the benchmark circuits. The algorithm is implemented in Ubuntu ...detects multiple ... See full document
6
AN OPTIMAL SOLUTION TO MULTIPLE TRAVELLING SALESPERSON PROBLEM USING MODIFIED GENETIC ALGORITHM
... The only difference is that instead of selecting random several positions in a parent tour, all the positions to the right of the randomly chosen crossover point are selected. Two mutations are used in the proposed ... See full document
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