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Bioinformatics:How it Helps to Boost Modern Biological Research


Affiliations
1 Chemical Engineering Discipline, Indian Institute of Technology, Gandhinagar 382 355, India
2 Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221 005, India
3 Division of Biochemistry, Department of Medical Biochemistry and Biophysics Karolinska Institute, Stockholm, Sweden
 

The trending of bioinformatics as an interdisciplinary branch of science in recent decades has enormous impact on biological research, as it enables in silico analysis of collected, archived and retrieved biological data1,2. The primary focus of bioinformatics during its nascent stage of development was just handling biological data, i.e. DNA, RNA and protein sequences through use of the basic computational tools. However, with increasing popularity of in situ and microarray gene expression and highthroughput gene sequencing studies involving massive data, it has immerged to play a bigger role in biological research output and applications3.
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  • Bioinformatics:How it Helps to Boost Modern Biological Research

Abstract Views: 608  |  PDF Views: 164

Authors

Suvakanta Barik
Chemical Engineering Discipline, Indian Institute of Technology, Gandhinagar 382 355, India
Nilesh Rai
Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221 005, India
Pradeep Mishra
Division of Biochemistry, Department of Medical Biochemistry and Biophysics Karolinska Institute, Stockholm, Sweden
Santosh K. Singh
Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221 005, India
Vibhav Gautam
Centre of Experimental Medicine and Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221 005, India

Abstract


The trending of bioinformatics as an interdisciplinary branch of science in recent decades has enormous impact on biological research, as it enables in silico analysis of collected, archived and retrieved biological data1,2. The primary focus of bioinformatics during its nascent stage of development was just handling biological data, i.e. DNA, RNA and protein sequences through use of the basic computational tools. However, with increasing popularity of in situ and microarray gene expression and highthroughput gene sequencing studies involving massive data, it has immerged to play a bigger role in biological research output and applications3.


DOI: https://doi.org/10.18520/cs%2Fv118%2Fi5%2F698-699