December 7, 2009

Career in Bioinformatics

Filed under: Bioinformatics,Computational Biology — Biointelligence: Education,Training & Consultancy Services @ 6:55 am
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For many stuidents, bioinformatics is still a puzzle. What before bioinformatics, what is bioinformatics and ahat after bioinformaics? These are some common and the most typical questions which people want to know. While broewing through the latest articles on pubmed central, a paper authored by Shoba Ranganathan caught our attention. Its titled somewhat like this – “Towards a career in bioinformatics“. Wide eyed I started reading the article and no doubt found it informative, intresting and useful. Below is a small summary of the article.

Science is itself a quest for truth and honesty in scientific endeavours is the keystone to a successful career. Scientific integrity in presenting research results and honesty in dealing with colleagues are invaluable to a scientific career, especially one that deals with large datasets. In this context, acknowledging the prior work of other scientists is important.

Domain knowledge is the key to a successful career in bioinformatics. “Computational biology” is not merely a sum of its parts, viz. computer science/informatics and biology. It also requires knowledge of mathematics, statistics, biochemistry and sometimes a nodding acquaintance with physics, chemistry and medical sciences. A career is bioinformatics requires problem solving. Here, you need to show persistence in following your hypothesis, even if others think that you are wrong. At the same time, be prepared to modify your hypothesis if the data suggests otherwise. Reaching your ultimate goal is of principal importance, no matter which path you follow.

Many graduate students simply see their bioinformatics Ph.D. as a goal. For a career, you must make plans for the next year, next three years and maybe even the next five years. Graduate school, your first job, your next job, your publication profile can all be planned as projects using project management tools. Without plans, you are drifting on the internet, without a specific search in mind.

Among the numerous areas of bioinformatics endeavour, traditional avenues such as sequence analysis, genetic and population analysis, structural bioinformatics, text mining and ontologies are represented in this supplement, while chemoinformatics and biodiversity informatics embody emerging bioinformatics themes. In order to carry out bioinformatics research, innovative teaching is a prerequisite. Improvement in bioinformatics learning is evident from the case study using e-learning tools.

This paper covers many areas of bioinformatics which might prove useful for graduates and post graduates. Here is the link to the full article:

Have a promising career in Bioinformatics !!