In fact, there are huge demands for expert biological data analyst. It’s a fairly new  (not exactly) hot area, these bioinformatician are invaluable because they know and understand the significance of biological data for your research and how you can use it for better understanding of biological problems.

The bioinformatics can discover biological patterns and stories in genomic and proteomics data. They can develop the pipeline needed to properly collect, store and analyse it.

Once your research group is ready to make a larger investment and hire a bioinformatician to gain a competitive edge, there are several key traits to seek out in potential candidates. The best bioinformatician are:

1. Highly Skilled - programming skills, experience with the biological software and tools.

The biological data won’t illuminate much if the scientist analysing it doesn’t possess practical programming skills, experience with the biological software and tools and a thorough understanding of basic biological stuff. A solid background in mathematics and statistics is also an indispensable trait.

2. Insight - Real vision, robust understanding and deep insight.

In order to hire the best bioinformatics and computational biologist scientist for your needs, it is always recommended and mostly practiced by the recruiters, to ask each contender to write and develop a sample script/presentation based on a specific set of data you provide. Then, explore the approaches used to deal with data provided and pick up those candidates who convey real vision, robust understanding and deep insight.

3. Energetic – Curiosity to explore

Mostly natural curiosity and enthusiasm for solving big biological problems coupled with an ability to transform data into a scientific stories may place one candidate above the rest. In addition to achieve that, the bioinformatician should be agile enough to quickly modify their methods to suit changes within a particular research.

4. Researcher – Publications

Look for someone who has a keen sense and understanding of concern biological problems. You can judge it by looking at previously published papers and data. It is always recommended to have a look at GitHub and other repository for codes written by her/him.

5. Impressive communicator - Insight that can’t be expressed is worthless.

Good bioinformatics scientists are able to uncover biological patterns and are willing to explain those patterns in clear and helpful ways through thoughtful and open communication. In other words, they should must have good scientific writing skills. A computational biologis/bioinformatician  should know how to present the data and tell a scientific story through numbers/images.

Project Title No. of post(s) Designation Stipend in Tenure Start End
Establishment of Distributed Information Sub-Centre (DISC) 02 Trainee Fellow / Student Fellow 5,000/- p.m Six months 01/01/2016 30/06/2016

Essential Qualification:

Traineeship: Candidate having B.Tech or Master Degree or equivalent in Bioinformatics/ Biotechnology with strong interest in Computational Biology and First class/ division throughout academic career may apply.

Studentship: Students currently pursuing the final year of B.Tech or Masters Degree or equivalent in Bioinformatics/ Biotechnology, requiring a thesis as a necessary pre-requisite for completion of respective degree and First class/ division throughout academic career may apply.

Desirable Qualification: Proficiency in Coding Algorithms and Bioinformatics Applications, evidenced by short trainings or computing courses.

The positions are purely temporary and co-terminus with the tenure of the training period as mentioned above. NIPGR reserves the right to select the candidate against the above fellowship depending upon the qualification and experience of the candidate. Reservations shall be as per Govt. of India norms. The applicants will have no claim implicit or explicit for consideration against any regular position of DISC/NIPGR.

Eligible candidates may apply online application form available

at http://www.nipgr.res.in/discform.html within 15 days from the date of

advertisement.Applications received through any other mode will be disqualified outright.

More at http://www.nipgr.res.in/discform.html

More at http://busco.ezlab.org/

Address of the bookmark: http://busco.ezlab.org/

It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF.

CrossMap is designed to liftover genome coordinates between assemblies. It’s not a program for aligning sequences to reference genome.

We do not recommend using CrossMap to convert genome coordinates between species.

More at http://crossmap.sourceforge.net/

Address of the bookmark: http://crossmap.sourceforge.net/

http://biogps.org/#goto=welcome

Address of the bookmark: http://biogps.org/#goto=welcome

Address of the bookmark: http://www.ici.upmc.fr/cluego/

Address of the bookmark: https://github.com/al2na/methylKit

Address of the bookmark: http://4dgenome.research.chop.edu/

More at http://www.pondiuni.edu.in/news?quicktabs_2=5#quicktabs-2

Anvi’o is an analysis and visualization platform for ‘omics data.

Please find the methods paper here: https://peerj.com/articles/1319/

Anvi’o would not have been possible without the help of many people who directly or indirectly contributed to its development. Here is the acknowledgements section of our methods paper

An analysis and visualization platform for 'omics data http://merenlab.org/projects/anvio

Paper https://peerj.com/articles/1839/

Address of the bookmark: https://github.com/meren/anvio