The Computational Techniques Developed to Analyze DNA Gel Images

The analysis of gel electrophoresis images is very crucial for molecular biologists to comprehend and interpret their experimental results. Thus, enhancing current mathematical methods and developing new accurate ones is very important and challenging task for bioinformaticians. For example, enhancing the commonly used mathematical method in gel analysis known as "Fitting method estimation" and proposing a new efficient method entitled "Ruler estimation" for preprocessing a given image and detecting lanes and bands automatically. Both mathematical methods implemented in our newly developed software. Three mathematical models namely, linear, quadratic and cubic fitting are tested for the accuracy of detecting the bands and lanes in the gel image to determine the best fitting model. A friendly user interface is developed for this new program using MATLB GUI to extract useful bimolecular information accurately and automatically. The new software has the ability to manually add or delete any band(s) and estimate the size of any unknown band(s) on the gel. Moreover, the similarity and (dis)similarity between lanes "samples" are estimated based on comparing the numbers and sizes of bands to generate a phylogram tree

Mathematical Modeling and Classification of Viruses from Herpesvirus Family

The process of modeling and classifications of viruses that belong to a specific family is an important for biologist and for many biological applications. There are many ways for Viruses families ' classification. The degree of similarity or diversity among the structure of the viruses capsid proteins is very useful in studying the Viruses families ' classification and their genetic evolution. It also important propose if we construct a mathematical model of the virus life cycle to be able to fully understand the life cycle of Viruses families ' activities. In this paper we introduce a proposed mathematical model for some Herpesvirus family viruses simple life cycle and comprehensive study for its classification using sequence alignment algorithms in order to demonstrate their genetic evolution according to the structure of their capsid protein. Herpesvirus family is considered one of the most important family in the families of the enveloped DNA viruses as it contain many dangerous viruses for human health. This family contain one of newly discovered viruses called Epstein–Barr virus (EBV), also called human herpesvirus 4 (HHV-4), which is one of the most common viruses in human. Infection with EBV occurs by the oral transfer of saliva [1] and genital secretions