Journal of Computational Intelligence in Bioinformatics

  • Year: 2009
  • Volume: 2
  • Issue: 3

Insulin Like Growth Factor 1 Receptor: Gene Assesment Using Insilico Approch

  • Author:
  • J. Gaikwad Vishnu1,, V. N. Ghasghase1, R. S. Kuptekar1,2, S. S. Ghorpade1
  • Total Page Count: 8
  • DOI:
  • Page Number: 177 to 184

1Dept. of Biotechnology Engineering, Tatyasaheb Kore Institute of Engineering and Technology, Warananagar, Dist- Kolhapur, MS, INDIA-416113.

2Dept. of Biotechnology and Bioinformatics, MGM's College of Computer Science, Near Airport, Nanded.

*Author for Correspondence

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Abstract

As the biological data generated abundantly needs to transform these data into mining full information which will be very useful to do further research related to the information. By considering this point of view, we turned on most important global issue of cancer.

In this paper we have present the annotation of IGF1R gene by using Bioinformatics approach. We have generated detailed information about IGF1R gene. The information like total Nucleotide composition, Amino acid composition, no. of coding regions (exons), TATA boxes, Poly A sites, etc. This information is very valuable in further research on cancer like diseases.

Keywords

IGF1R, TATA boxes, ProScan, PolyA site, GENSCAN 1.0