Human Artificial Chromosome
Shreya Sara Ittycheria & Sherin J.S.
(S6, Biotechnology and Biochemical Engineering, Mohandas College of Engineering and
Technology, Anad, Nedumangad, Trivandrum – 695544)



Abstract
The human artificial chromosome (HAC) is a microchromose that can act as a new chromosome
in a population of human cells. Yeast artificial chromosome and bacterial artificial chromosome
were created for human artificial chromosome which first appea ....etc

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MAC ....etc

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Please post human artificial chromosome because my own interests...

human artificial chromosome

A human artificial chromosome (HAC) is a microchromosome that a new population of human cells can function as chromosome. That is why instead of 46 chromosomes, cell 47 with 47th can be very small, roughly 6-10 megabases (MB) natural chromosomes instead of 50-250 MB in size, and introduced new genes by human researchers able to move. Ideally, researchers from different genes that disease functions including can integrate a vari ....etc

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A PAPER
ON
CHROMOSOME IMAGE ENHANCEMENT AND IDENTIFICATION

Presented By:
Mr. V. Subba Reddy,
ME (Digital Systems),
Abstract:-
Image processing has been used in almost all the areas such as remote sensing, military, biomedical, industrial applications. The world is growing more crowded all the time, with a fragile environment that needs protection. Natural resources are becoming increasingly precious and hard to find.
This paper is mainly focused on chromosome image enhancement and future extraction bas ....etc

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Content-based image retrieval

Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in large databases.

Content-based means that the search will analyze the actual contents of the image. The term 'content' in this context might refer colors, shapes, textures, or any other information that can be derived from the image itself. Without ....etc

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CBIR - Content Based Image Retrieval Using Shape & Color Characteristics
Introduction
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision to the image retrieval problem, that is, the problem of searching for digital images in large databases.
Content-based means that the search will analyze the actual contents of the image. The term 'content' in this context might refer colors, shapes, textur ....etc

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PLEASE SEND PDF AND PPT FOR MY SEMINAR PRESENTATION .PLEASE SENT TODAY ITSELF ....etc

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Abstract
Various techniques have been developed for different query types in content-based image retrieval systems such as sampling queries, constrained sampling queries, multiple constrained sampling queries, k-NN queries, constrained k-NN queries, and multiple localized k-NN queries. In this seminar , propose a generalized query model suitable for expressing queries of different types, and investigate efficient processing techniques for this new framework. We exploit sequential access and data sharing by developing new storage and query p ....etc

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ABSTRACT

Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical photograph. Existing techniques, designed around query refinement based on relevance feedback, suffer from slow convergence, and do not guarantee to find intended targets. To address these limitations, here propose several efficient query point movement methods. here prove that our approach is able to reach any given target image with fewer iterations in the worst and ....etc

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information about introduction,construction and application of mammalian artificial chromosome vector ....etc

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