Genomic Signal Processing (GSP)
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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, usually biologically functional. This especially includes protein-genes, but may also include other functional coding RNA genes and regulatory regions. Gene elements such as finding is

one of the first and most important steps in understanding the genome of a species once it has been sequenced.
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18-10-2010, 02:13 PM

.ppt   Ch06_GenePred_sim.ppt (Size: 2.38 MB / Downloads: 49)
Gene Prediction: Similarity-Based Approaches


The idea of similarity-based approach to gene prediction
Exon Chaining Problem
Spliced Alignment Problem
Gene prediction tools

Similarity-Based Approach to Gene Prediction

Genes in different organisms are similar
The similarity-based approach uses known genes in one genome to predict (unknown) genes in another genome
Problem: Given a known gene and an unannotated genome sequence, find a set of substrings of the genomic sequence whose concatenation best fits the gene
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16-01-2012, 11:25 AM

to get information about signal processing full report ,ppt and related topic refer the link bellow and presentation

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