BIO INFORMATICS AND BIO SCIENCE Research 2018-2019

Academia URL; https://www.academia.edu/165827426/April_2026_Top_10_Cited_Article_International_Journal_on_Bioinformatics_and_Biosciences_IJBB_

Abdullah Alshehab1 ,Chiu Tung Wu1 , Nao Kobayashi1 ,Sikieng Sok1 , Shigeru Shimamoto1
1Graduate School of Information and Telecommunication Studies,
Waseda University, Tokyo, JAPAN

ABSTRACT
Intra-body communication (IBC) is a type of Body Area Network (BAN)that utilizes human body as the medium for data transmission. Thelow power requirements of intra-body communication (IBC) as compared to near field electromagnetic waves showed that it can be a suitable solution for Medical Body AreaNetworks (MBANs) in a mobile health care system.In this paper, we investigate the transmission characteristicsof the human body as a conductor of signals byconsidering different datatransmission rates of multi-point to point network in order to reduce overall power consumption of the BAN.Furthermore, we utilize IBC and propose a new scheme to combines Slotted ALOHA, TDMA, and Reservation ALOHA together to increase the throughput and decrease the delay. By using our new hybrid scheme with the movable boundary designed for health status monitoring, we are able to increase the efficiency of data transmission by prioritizing the more critical data from the sensors.

KEYWORDS
Body area network, Intra-body communications, Hybrid communication scheme,

Volume URL; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N1/2112ijbb01.pdf

                                                  Indumathy R 1 and Uma Maheswari S 2
                                                  1Research Scholar, 2Associate Professor
               Department of Electronics and Communication Engineering,                                  Coimbatore Institute of Technology, Tamilnadu, India

ABSTRACT
Evolutionary search algorithms are becoming an essential advantage in the algorithmic toolbox for solving multi-dimensional optimization problems in a wide range of bioinformatics problems such as Genome fragment assembly which is a NP-hard problem. In computational biology, one of the most challenging problems is to reconstruct the original DNA sequence from a huge number of fragments, each one being numerous hundred base-pairs (bps) long. Recently it has become common for the researchers to apply the heuristic search algorithms to solve these kinds of complex problems with the help of combinatorial optimization. A genetic algorithm, the most well-known and representative evolutionary search technique has been the subject of the major part of such applications. Despite the fact that there have been different methods available in the literature, researchers are still facing difficulties in choosing the best method that could solve these problems efficiently and effectively. This paper aims to analyses the existing algorithms, evaluate them, point out the faults of these works and specify the emerging trend.

KEYWORDS
Computational Biology, Human Genome Project, Optimization Problem, DNA Fragment Assembly, Genetic Algorithms

Volume url; https://wireilla.com/ijbb/vol2.html

PDF url; https://wireilla.com/papers/ijbb/V2N2/2212ijbb05.pdf

Shekofeh Yaraghi 1 and Mohammad Davarpanah Jazi 2

1Department of Computer, Arak Branch, Islamic Azad University, Arak, Iran

2 Computer & Information Technology Department, Foulad Institute of Technology, Fouladshahr, Esfahan, Iran

ABSTRACT
Gene expression microarray experiments produce datasets with numerous missing expression value, which can significantly affect the performance of statistical and machine learning algorithms. In this paper, we proposed a novel method based on the fuzzy clustering and the shortest path algorithm for measuring the semantic similarity on GO to estimate missing value to microarray gene expression. In this proposed method, missing values are imputed with values generated from cluster centers. Genes similarity in clustering process resolute based on both the GO structure information and ,s property. We have applied the proposed method on two datasets with different percentages of missing values. The experimental results indicate that proposed method provides a higher accuracy of missing value estimation because the semantic similarity obtained by sp algorithm better correlates with the expression similarity than other node-based methods.

KEYWORDS
Missing Value; Semantic Similarity; Fuzzy Clustering; Microarray.

Volume url; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N2/2212ijbb04.pdf

Sundarapandian Vaidyanathan1
1Research and Development Centre, Vel Tech Dr. RR & Dr. SR Technical University
Avadi, Chennai-600 062, Tamil Nadu, INDIA

ABSTRACT
This paper solves the output regulation problem of Sprott-I chaotic system, which is one of the classical chaotic systems discovered by J.C. Sprott (1994). Explicitly, for the constant tracking problem, new state feedback control laws have been derived for regulating the output of the Sprott-I chaotic system. Our controller design has been carried out using the regulator equations of C.I. Byrnes and A. Isidori (1990). The output regulation of the Sprott-I chaotic system has important applications in many areas of Science and Engineering. Numerical simulations are shown to illustrate the effectiveness of the control schemes proposed in this paper for the output regulation of the Sprott-I chaotic system.

KEYWORDS
Chaos; Feedback Control; Sprott-I System; Nonlinear Control Systems; Output Regulation

Volume URL; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N2/2212ijbb03.pdf

Ashish Bhangale1 , Navneet Manjhi2 and Jyoti Bharti3

1Research Scholar, CSE Dept. MANIT-Bhopal, India

2Research Scholar, CSE Dept. MANIT-Bhopal, India

3Asst. Professor, CSE Dept., MANIT-Bhopal, India

ABSTRACT
The gait signature is extracted directly from the evidence gathering process. This is possible by using a Fourier series to describe the motion of the upper leg and apply temporal evidence gathering techniques to extract the moving model from a sequence of images. The improved classification capability of the phase-weighted magnitude information is verified using statistical analysis of the separation of clusters in the feature space. Furthermore, the technique is shown to be able to handle high levels of occlusion, which is of especial importance in gait as the human body is self-occluding. As such, a new technique has been developed to automatically extract and describe a moving articulated shape, the human leg, and shown its potential in gait as a biometric.

KEYWORDS
Fourier series, sequence of images, classification, phase-weighted magnitude, statistical analysis, occulation, articulated shape, biometric, VHT, HVHT, GAVHT, GA, SHT, CCD, FS & HHT

VOLUME URL; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N2/2212ijbb02.pdf

Yuxia Qin 1 , Ye Xiong 2 and Xiaoju Liu 2
1 School of Life Science, Xuzhou Medical University, Xuzhou, Jiangsu, China
2 The Second Hospital of Jilin University, Changchun City, Jilin, China

ABSTRACT
Plasmid DNA extraction is a fundamental technique in molecular biology and biomedicine. While traditional methods based on Luria–Bertani (LB) medium are sufficient for routine laboratory applications, many advanced downstream uses—such as transfection, gene therapy, and DNA vaccination—require large quantities of plasmid DNA with high purity and structural integrity. In this study, we systematically evaluated Terrific Broth (TB) as an alternative culture medium to enhance plasmid yield and quality in Escherichia coli. Cultures grown in TB achieved significantly higher cell densities and produced markedly increased plasmid yields compared with LB-grown cultures. Agarose gel electrophoresis confirmed that plasmid DNA extracted from TB cultures was predominantly in the supercoiled form with minimal degradation. Furthermore, several practical protocol modifications— including direct inoculation from frozen stocks, controlled freezing–thawing of bacterial pellets, and optimized elution strategies—reduced processing time and overall cost while improving yield. Collectively, these results demonstrate that TB medium is a robust and efficient platform for producing high-quality plasmid DNA suitable for demanding molecular and biomedical applications.

Volume URL; https://wireilla.com/ijbb/vol16.html

PDF URL; https://wireilla.com/papers/ijbb/V16N1/16126ijbb01.pdf

Subhomoi Borkotoky*
Centre for bioinformatics, Pondicherry University, Puducherry, India

Abstract
HIV integrase is a 32 kDa protein produced from the C-terminal portion of the Pol gene product, and is an attractive target for new anti-HIV drugs. Integrase is an enzyme produced by a retrovirus (such as HIV) that enables its genetic material to be integrated into the DNA of the infected cell. Raltegravir and Elvitegravir are two important drugs against integrase.

Keywords
Integrase, Chemsketch, Virtual screening.

Volume URL; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N3/2312ijbb03.pdf

Geo-Ontology and Geographical Information System Extended by a first-order logic language: Application to malaria control 

 

Guillaume Koum[1]Josiane Etang [2],[3]
[1] Département d’Informatique. Ecole Nationale Supérieure Polytechnique. B.P. 8390
Yaoundé, Cameroun
[2] Organisation de Coordination pour la lutte contre les Endémies en Afrique Centrale
B.P. 288 Yaoundé, Cameroun
[3] Faculté de Médecine et de Sciences pharmaceutiques. Université de Douala, B.P.
2701 Douala, Cameroun

c

Abstract
A geo-ontology can be built around a Geographic Information System (GIS) and enriched with a firstorder logic language under the closed-world assumption (CWA). This extended system provides knowledge representation formalisms that are aimed to describe general conceptual information. They can also be used in the construction of the knowledge base of a reasoning tool. In this paper an environment is defined where a geo-ontology offers possibilities with a system that allows users to represent and reason about some aspects of the real world. With respect to the added intelligence; knowledge is preserved and enhanced. Knowledge enhancement is performed under the CWA in a subset of the first-order logic language. A geo-reasoning task is undertaken so that a GIS and a geo-ontology are integrated in what can correspond to a natural language processing system. The framework is implemented to demonstrate geo-ontology’s ability to enhance knowledge in malaria control domain.

Keywords: geographic information system, geo-ontology; closed-world assumption, geo-reasoning,
malaria control.

 

 

Volume url; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N3/2312ijbb01.pdf

IDENTIFICATION OF CONSERVED FUNCTIONAL MOTIFS IN LACTOFERRIN USING MEME

* Shashank Rana1

Shrikant Sharma1

1. Research Scholar, Bioinformatics Facility, Department of Immunology, College of Biotechnology, Sardar VallabhBhai Patel University of Agriculture & Technology. Meerut (U.P.)

Raghvendar Singh2 

2. Head of Department, Bioinformatics Facility, Department of Immunology, College of Biotechnology, SardarVallabhBhai Patel University of Agriculture & Technology. Meerut (U.P.)

VOLUME URL; https://wireilla.com/ijbb/vol2.html

PDF URL; https://wireilla.com/papers/ijbb/V2N4/2412ijbb03.pdf