ISSN: 2249-9504
CAS CODEN: IJPCDX

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Google Scholar citation report
Citations : 3566

International Journal of Pharmaceutical, Chemical and Biological Sciences received 3566 citations as per google scholar report

International Journal of Pharmaceutical, Chemical and Biological Sciences peer review process verified at publons

PREDICTION OF BACTERIAL INFECTION IN COTTON USING EXPRESSED SEQUENCE TAGS

Abstract

Author(s): Neeta Maitre1* and MM. Kshirsagar2

Expressed Sequence Tags (EST) are short sub-sequence of cDNA sequencing approach. Available ESTs can be used to tag almost 60% of the genes in a genome. ESTs can act like a powerful tool in hunt for genes involved in case of diseases. ESTs are short sequences and hence they are easy to compare. Comparing these ESTs for local alignment can be used to predict particular genetic configuration in a given genome assembly. This paper talks about the prediction of bacterial infections caused by Pantoea Algglomerans in Cotton breed, Gossypium Raimondii. BLAST is used to compare sequences and to generate its relationship with the actual genome mapping.

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