what is microarray analysis?
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This is a system that use for DNA Analyzing and use a device which is very small like microchips and its surface is 1 square mm and you can do 100 tests with each micro-array.
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Genome analysis is used for analysing researching and studying genomes, gene sequencing is about knowing the genetic code of the DNA consisting of adenine, cytosine, guanine and thymine , gene cloning is production of identical copies of the target gene and stem cell research is still under study for various applications as inducing immunogenicity, prevention of cancer etc... All these help in knowing more about the DNA which is the basis of life.
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well,\n*CGH:is a molecular-cytogenetic method for the analysis of copy number changes( gains/losses)in the DNA content of tumor cells,method is based on the hybridization of fluorescently labeled tumor and normal DNA to normal human metaphase preparations,using epiflourescence microscopy and quantitative image analysis,regional differences in the fluorescence ratio of tumor vs.control DNA can be detected and used for identifying abnormal regions in the tumor cell genome,CGH will detect only unbalanced chromosomes changes,structural chromosome aberrations such as balanced reciprocal translocations,inversions can not be detected.
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So Depending on your specimen preparation and staining ie. light microscopy verus electron microscopy or other. you only need to zomm in to the particular cell of interest capture the image. software gives you histogram for that image. whether its grayscale or RGB doesn't really matter. you should be able to use boolean algebra to subtract out the background of physiological cells. you just do it three times for Red Green and BLUe for color images. There are programs that automatically do blob analysis like character recognition.
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The only thing I've used it for is to assess whether a target gene was successfully uptaken and expressed in gene transfection, by using a gene that had the GFP gene attached to it.\n\nWikipedia also mentions it being used in the production of biosensors and it is put next to genes in developing organisms to see where and when genes are being expressed.
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Bioinformatics--\n\nBioinformatics and computational biology involve the use of techniques including applied mathematics, informatics, statistics, computer science, artificial intelligence, chemistry and biochemistry to solve biological problems usually on the molecular level. Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.\n\nThe terms bioinformatics and computational biology are often used interchangeably. However bioinformatics more properly refers to the creation and advancement of algorithms, computational and statistical techniques, and theory to solve formal and practical problems posed by or inspired from the management and analysis of biological data. Computational biology, on the other hand, refers to hypothesis-driven investigation of a specific biological problem using computers, carried out with experimental and simulated data, with the primary goal of discovery and the advancement of biological knowledge. A similar distinction is made by National Institutes of Health in their working definitions of Bioinformatics and Computational Biology, where it is further emphasized that there is a tight coupling of developments and knowledge between the more hypothesis-driven research in computational biology and technique-driven research in bioinformatics. Computational biology also includes lesser known but equally important subdisciplines such as computational biochemistry and computational biophysics.\n\nA common thread in projects in bioinformatics and computational biology is the use of mathematical tools to extract useful information from data produced by high-throughput biological techniques such as genome sequencing. A representative problem in bioinformatics is the assembly of high-quality genome sequences from fragmentary "shotgun" DNA sequencing. Other common problems include the study of gene regulation using data from microarrays or mass spectrometry.
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(m)\n\nBioinformatics is the application of computer technology to the management of biological information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied to gene-based drug discovery and development. The need for Bioinformatics capabilities has been precipitated by the explosion of publicly available genomic information resulting from the Human Genome Project. The goal of this project - determination of the sequence of the entire human genome (approximately three billion base pairs) - will be reached by the year 2002. The science of Bioinformatics, which is the melding of molecular biology with computer science, is essential to the use of genomic information in understanding human diseases and in the identification of new molecular targets for drug discovery. In recognition of this, many universities, government institutions and pharmaceutical firms have formed bioinformatics groups, consisting of computational biologists and bioinformatics computer scientists. Such groups will be key to unraveling the mass of information generated by large scale sequencing efforts underway in laboratories around the world.
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We can help you, but please first edit your question with your definition of "analyse"\nThanks.\n-MM
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The collection and analysis of tissue samples is a long- established technique in pathology. What is new in "molecular pathology" is the emphasis on assessing gene expression in addition to morphology, and the use of gene expression analysis to validate large numbers of targets. (However, histochemistry and immunohistochemistry have been used, for specific proteins, since before the advent of genomics
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A short analysis of a book, paper, or article. A kind of Brief outline of what the thing is about.
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To take data that exist on paper and enter it into a database.  Over, and over, and over again.\nFor instance, a data entry person working for a Lab might take drug screen analysis results and enter that info into a large database.
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http://www.tm4.org/midas.html\n\nDon't know why you need this, unless you're working in a genomics lab surrounded by hundreds of thousands of dollars worth of equipment like I am on an average day, but that's what you're probably looking for.
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Cytology is the study in cells.  \nIn Medicine, Cytology is a branch of Pathology.  It involves the analysis of cells from pap smear (cervical/vaginal samples), body fluids (such as from chest and abdominal cavities as well as urine, spinal fluid, sputum, etc.) and aspiration (samples removed by thin needle from various organs and parts of body, commonly lungs, liver, salivary glands, lymph nodes, etc.)\nCytogenetics is the study of chromosomes of tumors, fetus/babies' tissue, amniotic fluid, normal tissue, etc..   Abnormal babies or placental tissue (hydatidiform mole) can have abnormal chromosomes (missing, extra, etc.).  Tumors with abnormal number of chromosomes may behave more aggressively then ones with normal chromosome.  Certain leukemia and lymphoma have characteristic abnormal patterns of their chromosomes.  Cytogenetics can help diagnosing those neoplasia or cancer.
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What is Electrophoresis ?\nElectrophoresis is an analytical method frequently used in molecular biology and medicine. It is applied for the separation and characterization of proteins, nucleic acids and subcellular-sized particles like viruses and small organelles. Its principle is that the charged particles of a sample migrate in an applied electrical field. If conducted in solution, samples are separated according to their surface net charge density. The most frequent applications, however, use gels (polyacrylamide, agarose) as a support medium. The presence of such a matrix adds a sieving effect so that particles can be characterized by both charge and size. Protein electrophoresis is often performed in the presence of a charged detergent like sodium dodecyl sulfate (SDS) which usually equalizes the surface charge and, therefore, allows for the determination of protein sizes on a single gel. Additives are not necessary for nucleic acids which have a similar surface charge irrespective of their size. \nCharacterizing samples by exploiting both differences in charge and size can yield much more information. It requires that the same sample is analyzed not only in one, but several gels. This technique is further explained in the chapter on Ferguson plots. The procedure is more laborious, however the use of an automated electrophoresis apparatus can make this a fast, routine procedure (Gombocz, Cortez: Appl. Theor. Electrophoresis 1995, 4, 197-209).
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Mathematical Analysis!
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the science of informatics as applied to biological research. Informatics is the management and analysis of data using advanced computing techniques. Bioinformatics is particularly important as an adjunct to genomics research, because of the large amount of complex data this research generates.\n\nhe use of computers in solving information problems in the life sciences. It mainly involves the creation of extensive electronic databases on genomes, protein sequences etc. Also involves techniques such as three-dimensional modelling of biomolecules and biological systems.\n\nright now bioinformatics is mostly offered as masters or doctorate level programs. very few universities offer it at an undergrad level. you can try doing a BSc Hons in Bio or Bsc in IT and then branching into Bioinformatics. Knowledge of bio is necessary.
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They get DNA from nucleated cells like white blood cells (in blood and saliva) and epithelial cells (in saliva). They lyze the cells to free the DNA, centrifuge and take the fraction with the DNA, treat and amplify or multiply the DNA fragments, put markers or specific labels, determine the presence and amount of this marked or labeled fragments, and compare the distribution with known samples or DNA database. DNA results are usually one page long.