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OJBTM
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.
ABSTRACT
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,