hello sir
i wanna get the seminar on the topic-- applied genomic research in rice genetic improvement ....etc

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Approach based on homology and composition-based approach to further study the functional nucleus (ie, the microbial nucleus and nucleus of the gene, correspondingly). In the proposed method, the identification of the main groups of functionality is achieved by generative theme modelling, which is able to extract useful information from unlabelled data. We first demonstrate that generative topic model can be used to model the taxon abundance information obtained by homology-based approach and study the microbial nucleus. The model considers eac ....etc

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I need a matlab source code for genomic signal processing.. ....etc

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Genomic Signal Processing

Genomic Signal Processing (GSP) is the engineering discipline that studies the processing of genomic signals.The theory of signal processing is utilized in both structural and functional understanding. The aim of GSP is to integrate the theory and methods of signal processing with the global understanding of functional genomics, with special emphasis on genomic regulation.
Gene prediction typically refers to the area of computational that is concerned with algorithmically identifying biology genomic DNA, that are ....etc

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Genomic Signal Processing

Genomic Signal Processing (GSP) is the engineering discipline that studies the processing of genomic signals.The theory of signal processing is utilized in both structural and functional understanding. The aim of GSP is to integrate the theory and methods of signal processing with the global understanding of functional genomics, with special emphasis on genomic regulation.
Gene prediction typically refers to the area of computational that is concerned with algorithmically identifying biology genomic DNA, that are ....etc

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Genomic library and cDNA library



What is a DNA Library

Genomic Library: Bank of DNA that represents the genome of
specific cell/organism/species

cDNA Library: Bank of cDNA representing mRNA of a specific cell.

Originally libraries made in vectors- allow replication in E.Coli

Later, linker libraries for PCR based cloning-

Marathon Libraries

Genomic Library:

ways to make a genomic library:

Complete digestion (at all relevant restric ....etc

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Outline
Introduction

Methods

Results

Conclusion

INTRODUCTION
Chronic diseases are caused by the interactions of various genes.
These are subject to interactions and environmental factors

Mutations

These entities and their interactions can be
represented well using graph networks
Contd..
Genomics and Phenomics

Integrated genomics phenomics knowledge

Approach:
Generate Semantic Web based network data structures
Perform centrality analyses to rank genes
Contd..
Traditional methodologies : ....etc

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Genomic Signal Processing (GSP) is the engineering discipline that studies the processing of genomic signals.The theory of signal processing is utilized in both structural and functional understanding. The aim of GSP is to integrate the theory and methods of signal processing with the global understanding of functional genomics, with special emphasis on genomic regulation.

Gene prediction typically refers to the area of computational that is concerned with algorithmically identifying biology genomic DNA, that are stretches of sequence, usual ....etc

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The post-genomic era has been driven by the development of technologies that allow the function of cells and whole organisms to be
explored at the molecular level. Metabolomics is concerned with the measurement of global sets of low-molecular-weight metabolites.
Metabolite profiles of body fluids or tissues can be regarded as important indicators of physiological or pathological states. Such profiles
may provide a more comprehensive view of cellular control mechanisms in man and animals, and raise the possibility of identifying surrogate
ma ....etc

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ABSTRACT
With the dawn of the genome era computational methods in the automatic analysis of biological data have become increasingly important. The explosion in the production rate of expression level data has highlighted the need for automated techniques that help scientists analyze, understand, and cluster (sequence) the enormous amount of data that is being produced. Example of such problems are analyzing gene expression level data produced by microarray technology on the genomic scale, sequencing genes on the genomic sc ....etc

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