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Sequence similarity search and sequence alignment methods are fundamental steps in comparative genomics and have a wide spectrum of application in the field of medicine, agriculture, and environment. The dynamic programming sequence alignment methods produce optimal alignments but are impractical for a similarity search due to their large running time. Heuristic methods like BLAST run much faster...
Approximately, 21,000 breaths per day and 10.5 million breaths per year are taken by average people. Breathing functions depend on the actions of the respiratory muscles on the chest wall. This study analyzes the motions of the humans’ chest compartments with a portable, low-cost and convenient monitoring system to be used in e-health applications. Two wearable MEMS sensors are used to capture the...
Proteins have crucial importance in every living system, and Protein–Protein Interactions (PPIs) play a pivotal role in regulation of virtually all biological processes such as DNA transcription, replication, metabolic cycles and signaling cascades. The PPIs play an important role in the complex process of cell death which mainly occurs via apoptosis and necrosis in eukaryotic cells. Apoptosis is...
Collaborative environments in recent years, such as bioinformatics and health care, have seen an increasing interest in Web services communities. The new concept was proposed and widely accepted as a distributed paradigm over the Internet, and has been used widely even in collaborative fixture design and manufacture. Indeed, the community infrastructure contributes to improving the availability of...
This paper proposes a new approach of automatic medical image annotation since a social network whose users are student doctors in radiology in order to obtain report rapids on medical images. Indeed, the present study suggests a social network of collaboration where students or doctors can share their knowledge. Moreover, the annotations are used in order to extract the relevant keywords as well...
Availability and rapid growth of microarray databases have made an integrated analysis of these databases computationally challenging. We present a novel approach to content-based searching in microarray databases, using binary vector representations, that is inspired from the Chemoinformatics field. A benchmark compendium of microarray datasets is established for evaluation of content-based searching...
This paper studies the group method of data handling (GMDH) polynomial neural network and radial basis function neural network (RBF) for classification of oral cancer. The oral cancer dataset of 1025 patients is divided into two subgroups: training data and test data, to verify the network’s ability to diagnose new cases. Classification accuracy of the GMDH model for training data is 70.24 % and that...
Wilms’ tumor, or nephroblastoma, is a cancer of the kidneys that typically occurs in children and rarely in adults. Around 10 % of Wilms’ tumor patients are diagnosed having a concurrent syndrome that enhances the risk of Wilms’ tumor. A screening method for early detection of Wilms’ tumor in these patients would be beneficial, since the size or stage of a tumor is related to outcome. In this paper,...
Selection of important genes responsible for a disease is an important task in bioinformatics. Microarray data are often used with differential expression being considered as a cue. Recently, such expression data are supplemented by gene ontology and genes/proteins interaction network for the selection task. The functional knowledge and interaction structure have become critical for understanding...
A QSAR study has been performed on a series of Phenylpyrazinones derivatives with potent corticotropin-releasing factor-1 (CRF1) receptor antagonists. Structural features responsible for the activity of the compounds were characterized by using physicochemical, topological, and electrotopological descriptors, calculated from the Molecular Design Suite software. The statistically significant 2D-QSAR...
Massive amounts of graph data have been generated in many areas, including computational biology and social networks. Often these graphs have attributes associated with nodes. One of the most intriguing questions in graphs representing complex data is to find communities or clusters. The use of attribute data in finding clusters is shown to be effective in many application areas, e.g., finding subnetwork...
This work presents the development of a motorized wheelchair controlled by cervical movements, where two accelerometers are used as sensors in the definition of movement commands of the wheelchair. One accelerometer is positioned in a helmet on the user’s head and the second is positioned on chair base. The use of two sensors has the objective of collecting the signals in differential form providing...
Laccases from various sources like higher plants, fungi as well as bacteria are known to have wide range of applications in various industries such as paper, textile and beverage. This enzyme is extensively studied because of its vital role in bioremediation, biosensors and diagnostics. Phylogenetic analysis of retrieved sequences of laccases from selected bacteria and fungi inferred variation in...
The biological databases are flooded with genomic and proteomic data which can be analyzed to generate the information and knowledge which can be useful for understanding molecular mechanisms involved in disease and health state of a living being. The tuberculosis is an infectious disease and is pandemic, causing large number of deaths every year. In this paper an attempt has been made to develop...
Telemedicine systems have been rapidly increasing in number and size over the past decades. This increasing trend intensifies the need for tele-medicine in the area of national healthcare system. The increasing size of distributed telemedicine systems creates problems of data integration, vendor lock-in, and interoperability. In this paper, we present a next generation telemedicine system architecture,...
Two-dimensional (2D), Three-dimensional (3D) quantitative structure–activity relationship (QSAR) and Pharmacophore studies of angiotensin II AT1 receptor antagonists substituted imidazolones derivatives have been carried out. Statistically significant best 2D-QSAR and k-nearest neighbor-based 3D-QSAR model were generated on q2 = 0.7118; 0.7159 with pred_r2 = 0.8313, 0.7377, respectively,...
As a general approach to study interactions among small biological molecules such as genes and proteins, network analysis has aroused great interest of people from various research disciplines. However, the construction of network is usually quite sensitive to noise which is unavoidable in real data. Besides, the parameter selections for network construction can also affect the result significantly...
One of the most important problems in the context of systems biology is to infer gene regulatory networks from gene expression data, since most of the control of cellular processes are performed by the multivariate activity of genes by means of their transcribed mRNA expression. Although many methods have been proposed to deal with this problem in the last two decades, gene network inference from...
In this paper, we introduce a connectivity-based protein complex finding method to find dense and sparse complexes along with core and periphery proteins. We named this method CNCM (Connectivity-based Network Clustering Method) as it uses clustering coefficient and the connectivity among nodes to find complexes. This method also ensures detection of protein complexes which are overlapping in nature...
Predicting novel genes is an important topic in bioinformatics. De novo protein coding region prediction techniques are more powerful than homology-based techniques in the analysis of novel DNA sequences for annotating protein regions. In this article, a new gene finding technique is proposed to predict protein coding regions in DNA sequences. The technique is based on the spectral analysis of DNA...
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