BIOINFORMATICS-Beyond the tradition

BIOINFORMATICS- Beyond the tradition

Hi guys , this is my 1st blog. So there must be so many mistakes , please feel free to make me correct by leaving a comment .Specially this blog is dedicated to all the students who did Biology for their A/l s and now in the IT scene. (So as the writer ;)) This post might  help you to satisfy with your selection. Yes you are right ! You can go back to the field of biology as a bioinformatician ;) ;):D. Keep on reading our Blog !!!

So as for my 1st post , i thought of writing a fast growing field around the whole world.At the moment you read  this Blog's name, you would rather feel , mmm what should i say , "uncomfortable" (if you are in the field of IT or an IT student)  with it . Some of you might think whether this guy is full of nuts or crazy !! ;)


All these thoughts are much expected and after reading the complete post you might get what I've tried to mean or you might not get it  !;) ;)


So lets move on to our 1st topic ! 


As i mentioned earlier i am going to talk about an amazing field which has caught the eyes of the world . It is the field of  BIOINFORMATICS. By glancing at its own name, one might get this idea that this field might be related to both IT and Biology. Yes, that is true. That is why i have named my blog ,"Making IT ians , Biologists". So lets move onto talk about this field.


According to Wikipedia , Bioinformatics is the application of implementing computer science and Information Technology methods in the field of biology and medicine. After the 20th century there are two main fields that got really developed in technology vise and knowledge vise. They are biology and IT. The advancement in the biology field can be really seen by the researches which carry on the Neurocomputing. 


Bioinformatics deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft computing, information and computation theory, structual biology, software engineering, data mining, image processing, modeling and simulation, signal processing, discrete mathematics, control and system theory, circuit theory, and statistics. 

Commonly used software tools and technologies in bioinformatics.

• Java
• XML 
• Perl
• C
• C++
• Python
• R
• MySQL 
• SQL 
• CUDA 
• MATLAB
• Microsoft Excel

This technology was 1st revealed or rather implemented at the process of genome mapping, which was still an ongoing process. In this genome mapping   the actual genome of a living cell or living thing is mapped and kept in a database and even by using modeling we can view 3D images of such genomes. One might  think what is this so called genome ?? Genome is known as the entire inheritances information of a living organism. They are kept or stored in either DNA or in RNA(some viruses). Those are the tiny little helical shaped things which carry our whole system's information such as how we get our appearance , our habits ,  and even how we think.     


Moving back to the field of Bioinformatics, the primary goal of bioinformatics is to increase the understanding of biological processes. What sets it apart from other approaches, however, its focus on developing and applying computationally intensive techniques to achieve this goal.Over the past few decades rapid developments in genomic and other molecular research technologies and developments in information technologies have combined to produce a tremendous amount of information related to molecular biology. Bioinformatics is the name given to these mathematical and computing approaches used to glean understanding of biological processes.Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning different DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.There are two ways of modeling a a bilogical system. They are static and dynamic. These are categorized under a sub field structural bioinformatics.


So guys , this is a brief introduction to Bioinformatics, hope to continue on writing more on this field, specially the research areas and the prospects of bioinformatics. So hope you enjoyed my 1st post on Bioinformatics. 




See you soon!! :D :D