Abstract/Description
Exploring DNA sequences is really important in the context of bioinformatics, as it maintains every function of our body - being the building block. Bioinformaticians have unfolded numerous features of this sequence and it is probable that still there are more features to discover within DNA sequence. To get the desired information from DNA sequence quickly, depends largely on its presentation. It is desirable to investigate the sequence in visual or textual form, as needed. In this paper, we put forward a software tool which can be helpful in exploring DNA features and observing it in different representations (simultaneously or individually) to discover new patterns. The DNA sequence having up to 425,000 base pairs is tested on this tool.
Keywords
Session Theme
Artificial Intelligence – I
Session Type
Other
Session Chair
Dr. Sajjad Haider
Start Date
15-8-2009 3:45 PM
End Date
15-8-2009 4:05 PM
Recommended Citation
Shahzad, M., Alia, N., & Mahmood, S. (2009). Artificial Intelligence – I: DNA innovate: visualizing DNA sequences. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2009/2009/22
Artificial Intelligence – I: DNA innovate: visualizing DNA sequences
Exploring DNA sequences is really important in the context of bioinformatics, as it maintains every function of our body - being the building block. Bioinformaticians have unfolded numerous features of this sequence and it is probable that still there are more features to discover within DNA sequence. To get the desired information from DNA sequence quickly, depends largely on its presentation. It is desirable to investigate the sequence in visual or textual form, as needed. In this paper, we put forward a software tool which can be helpful in exploring DNA features and observing it in different representations (simultaneously or individually) to discover new patterns. The DNA sequence having up to 425,000 base pairs is tested on this tool.
