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Online Journal of Bioinformatics

Volume 14 (2): 104-117, 2013


In silico gene prediction for autosomal recessive cone-rod dystrophy 8 (CORD8).


Naureen Aslam Khattak¹*, Sobiah Rauf2, Sheikh Arslan Sehgal2, Dure Shahwar1 and Muhammad Ismail3


1Department of Biochemistry, PMAS-Arid Agriculture University, Rawalpindi, 2 Department of Bioinformatics and Biotechnology, DES, International Islamic University, Sector H-10, Islamabad, , 3Institute of Biomedical and Genetic Engineering, (IBGE), 24 Mauve Area, G-9/1, Islamabad, Pakistan.




Khattak NA, Rauf S, Sehgal SA, Shahwar D and Ismail M., In silico gene prediction for autosomal recessive cone-rod dystrophy 8 (CORD8), Onl J Bioinform., 14 (2): 104-117, 2013. Autosomal recessive cone-rod dystrophy 8 (CORD8) genes in 1q23-q24 chromosomal interval between markers D1S1653 and D1S403, were determined using FGENESH, GeneMark.hmm, Genscan (eukaryotes) and Augustus. The analysis suggested that DNA Contigs, AL663023, AL513208, AL035403, AL513307 and AL136457 not yet mapped in 1q23-q24 between physical coordinates 157932671 bp to 163727618 bp (UCSC Genome Browser. 2009, GRCh37/hg19), may be involved in autosomal cone rod dystrophy. These potential genes could assist in understanding the pathogenesis of CORD8. Comparative modeling predicted the 3-dimensional structure of novel genes in DNA contigs AL663023 and AL136457.


Key Words: Computational Molecular biology, Gene finding, Gene searching, CORD8 , Genetic mapping, Comparative modeling,