Research
Computational Analysis of Microsatellite Repeats in Chloroplast Genomes
Chloroplasts are the food producers of the cell. These organelles are found only in plant cells and algae. Chloroplasts work to convert light energy of the Sun into sugars that can be used by cells. Microsatellites are a special class of DNA repeats that are found to be helpful to understand evolution, diseases and are widely used in various applications including, DNA Fingerprinting, Paternity Studies, Linkage Analysis etc. These repeats are ubiquitously present in all genomes including chloroplasts and very little is known about their presence in organelle genomes. In this study, we have analyzed more than 370 chloroplast genomes and a brief report on the distribution and frequency of these repeats in chloroplast genomes has been presented.
Gene Expression Analysis Methods on Microarray Data a A Review
In recent years a new type of experiments are changing the way that biologists and other specialists analyze many problems. These are called high throughput experiments and the main difference with those that were performed some years ago is mainly in the quantity of the data obtained from them. Thanks to the technology known generically as microarrays, it is possible to study nowadays in a single experiment the behavior of all the genes of an organism under different conditions. The data generated by these experiments may consist from thousands to millions of variables and they pose many challenges to the scientists who have to analyze them. Many of these are of statistical nature and will be the center of this review. There are many types of microarrays which have been developed to answer different biological questions and some of them will be explained later. For the sake of simplicity we start with the most well known ones: expression microarrays.
