Team II Gene Prediction Group: Difference between revisions
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==Ab-initio Approaches== | |||
==Comparative Approaches== | |||
Comparative, similarity based or Homology based gene prediction uses previously sequenced genes and their protein products as a template for recognition of unknown genes in a newly sequenced DNA fragments. So, in short we cab say: It is using "Known Genes" to predict "New Genes". | |||
[[File: Comare-genomes.png | 700px]] | |||
'''Figure 2: Given a known gene and an unannotated genome sequence, find a set of substrings in the genomic sequence whose concatenation best matches the known gene''' | |||
Recently, the number of sequenced genomes has increased drastically and 99% of genes have homologous partner, 80% have orthologous partner and 85 % identity (protein coding DNA) versus 69 % identity (intronic DNA). All these can be considered as the motivation of using this method of gene prediction. | |||
Revision as of 12:14, 26 March 2018
Introduction
Gene Prediction
Data
Approaches
1. Ab-initio
2. Comparative
Ab-initio Approaches
Comparative Approaches
Comparative, similarity based or Homology based gene prediction uses previously sequenced genes and their protein products as a template for recognition of unknown genes in a newly sequenced DNA fragments. So, in short we cab say: It is using "Known Genes" to predict "New Genes".
Figure 2: Given a known gene and an unannotated genome sequence, find a set of substrings in the genomic sequence whose concatenation best matches the known gene
Recently, the number of sequenced genomes has increased drastically and 99% of genes have homologous partner, 80% have orthologous partner and 85 % identity (protein coding DNA) versus 69 % identity (intronic DNA). All these can be considered as the motivation of using this method of gene prediction.