abstractbackground: pathogenicity ofthe helicobacter pylori-caga positive was associated with epiyamotifs and higher number of epiya-c segments is a risk for gastric cancer,while duodenal ulcer-promoting gene (dupa) is determinedas a protective factor against gastric cancer. our aim was to determine the epiya-cagaphosphorylation sites and dupa gene in h. pylori isolates amongpatients with upper...

objective(s):brucellosis is a well-known domestic animal infectious disease, which is caused by brucella bacterium. groel antigen increases brucella survival and is one of the major antigens that stimulates the immune system. hence, the objective of the present study was cloning and bioinformatics analysis of groel gene. materials and methods: the full-length open reading frame of this gene was...

Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...

Background: DNA microarray is a useful technology that simultaneously assesses the expression of thousands of genes. It can be utilized for the detection of cancer types and cancer biomarkers. This study aimed to predict blood cancer using leukemia gene expression data and a robust ℓ2,p-norm sparsity-based gene selection method. Materials and Methods: In this descriptive study, the microarray ...

BACKGROUND Although several methods have been proposed for predicting the effects of genetic variants and their role in disease, it is still a challenge to identify and prioritize pathogenic variants within sequencing studies. METHODS Here, we compare different variant and gene-specific features as well as existing methods and investigate their best combination to explore potential performanc...

MOTIVATION Discerning genetic contributions to diseases not only enhances our understanding of disease mechanisms, but also leads to translational opportunities for drug discovery. Recent computational approaches incorporate disease phenotypic similarities to improve the prediction power of disease gene discovery. However, most current studies used only one data source of human disease phenotyp...

background: the study of the association between genotype and phenotype is of great importance for the prediction of many diseases and pathophysiological conditions. the relationship between angiotensin-converting enzyme (ace) gene insertion/ deletion (i/d) polymorphism and pathological processes such as coronary artery disease (cad) has been investigated previously with discordant results. thi...

Deciphering gene-disease association is a crucial step in designing therapeutic strategies against diseases. There are experimental methods for identifying gene-disease associations, such as genome-wide association studies and linkage analysis, but these can be expensive and time consuming. As a result, various in silico methods for predicting associations from these and other data have been de...

background and aims: newcastle disease virus (ndv) infection have been established in at least 241species of birds representing 27 of the 50 orders of the class.ndv isolate were obtained from infected ostrich flock during the outbreaks of nd in iran 2012. the f gene fragment which codes the main functional region of the f protein was obtained by rt-pcr and sequenced. methods: from the pathotype...

coronary artery disease (cad) is the leading cause of mortality in many parts of the world. genome-wide association studies (gwas) have identified several genetic variants associated with cad in low-density lipoprotein receptor (ldlr) locus. this study was evaluated the possible association of genetic markers at ldlr locus with cad irrespective to lipid profile and as well as the association of...