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1000 tulosta hakusanalla Mohamed A. El-Reedy

SHsearch. A Method for Fast Remote Homology Detection

SHsearch. A Method for Fast Remote Homology Detection

Mohamed Baddar; Noha Yousri

Grin Publishing
2017
pokkari
Master's Thesis from the year 2014 in the subject Statistics, grade: 3.8, language: English, abstract: Remote homology detection is the problem of detecting homology in cases of low sequence similarity. It is a hard computational problem with no approach that works well in all cases. Methods based on profile hidden Markov models (HMM) often exhibit relatively higher sensitivity for detecting remote homologies than commonly used approaches. However, calculating similarity scores in profile HMM methods is computationally intensive as they use dynamic programming algorithms. In this paper, we introduce SHsearch: a new method for remote protein homology detection. Our method is implemented as a modification of HHsearch: a remote protein homology detection method based on comparing two profile HMMs. The motivation for modification was to reduce the run time of HHsearch significantly with minimal sensitivity loss. SHsearch focuses on comparing the important submodels of the query and database HMMs instead of comparing the complete models. Hence, SHsearch achieves a significant speedup over HHsearch with minimal loss in sensitivity. On S C O P 1.63, SHsearch achieved 88x speedup with 8.2% loss in sensitivity with respect to HHsearch at an error rate of 10%, which is deemed to be an acceptable tradeoff.
Modélisation et contrôle intelligent du moteur à réluctance variable
Au fil des derni res d cennies, les v hicules hybrides ont offert une double solution au double d fi de l'aggravation de la pollution environnementale et de l' puisement croissant des r serves d' nergie fossile. Les moteurs r luctance variable (MRV), une cat gorie conomique de machines polyphas es largement int gr e dans les voitures hybrides, se pr sentent comme une option particuli rement pertinente cet gard. Cependant, ils sont caract ris s par leur forte non-lin arit . Traditionnellement, il a t possible de minimiser les variations de couple gr ce l'application de contr leurs conventionnels ou intelligents. Les premiers, sensibles aux variations des param tres moteurs et la m thode de r glage utilis e, requi rent un mod le math matique d taill sp cifique chaque moteur. En revanche, les seconds proposent une solution pratique la non-lin arit prononc e des MRV. L'objectif de ce projet est d'explorer diverses techniques de contr le en vue de d velopper un contr leur pratique visant minimiser les variations de couple dans les MRV. Une version embarqu e est enfin labor e l'aide de l'outil "Xilinx System Generator" et test e sur un v hicule lectrique.