Clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the process of grouping similar objects into different groups, or more precisely, the partitioning of a data set into subsets, so that the data in each subset according to some defined distanc...

Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance. This makes it computationally expensive and difficult to cope with large scale data used in several applications, such as in bioinformatics. In this paper we propo...

SUMMARY At the heart of many modern biotechnological and therapeutic applications lies the need to target specific genomic loci with pinpoint accuracy. Although landmark experiments demonstrate technological maturity in manufacturing and delivering genetic material, the genomic sequence analysis to find suitable targets lags behind. We provide a computational aid for the sophisticated design of...

Metabolomics is the global analysis of all or a large number of cellular metabolites. Like other functional genomics research, metabolomics generates large amounts of data. Handling, processing and analysis of this data is a clear challenge and requires specialized mathematical, statistical and bioinformatics tools. Metabolomics needs for bioinformatics span through data and information managem...

objective(s): the introduction of nucleic acids into cells for therapeutic objectives is significantly hindered by the size and charge of these molecules and therefore requires efficient vectors that assist cellular uptake. for several years great efforts have been devoted to the study of development of recombinant vectors based on biological domains with potential applications in gene therapy....

to determine the role of ddx3y gene in spermatogenesis and infertility in bulls, blood samples were collected from five infertile bulls (azoospermic; no sperm in the semen) at the animal breeding center in karaj, iran. the recommended human primers by eaa/eqmn were investigated using the blastn database for sts marker detection. alignment of sts marker genes with bovine genome was performed. pr...

The aim of this study was to perform molecular and bioinformatics analysis of IGFBP2 gene promoter in association with some economic traits in indigenous Makuee (MS) and Lori-Bakhtiari (LB) breeds. DNA was extracted from blood samples of 120 MS and 200 LB and a 297 bp fragment from the upstream sequences of studied gene was amplified and genotyped by single-strand conformational polymo...

Phytase increases the bioavailability of phytate phosphorus in seed-based animal feeds and reduces the phosphorus pollution of animal waste. Since most animal feeds for pellets are heated up to 65-80 °C, the production of a thermostable structure for phytase can be useful. In this study, we sought to perform bioinformatics analysis of the upstream region and protein structure of fungal phytase ...

This paper provides an overview of the application of cloud computing in certain bioinformatics tasks. Current bioinformatics applications demand both management of huge amounts of data and intensive computation. Cloud computing provides a promising new approaches for bioinformatics tasks that leverage the hardware and software investments on large scale data centres. In this paper, first of al...

A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of laboratory publications would be highly beneficial to bioinformatics, for evaluating evidence and examining data across related experiments, while introducing the potential to find associated resources and integrate them as data and services. We present ...