Biological Programing

Computers are a big part of bioinformatics and computational biology. Programming has become a major requirement to retrieve, analyze biological data, statistical analysis of data, simulation, modeling, etc. It involves the extensive study and analysis of huge biological datasets, such as sequences alignment & analysis, genome analysis, proteome analysis, phylogenetic analysis, and many more. So, for everyday bioinformatics work, it often involves massive and tedious data processing. Bioinformaticians require to run a single command on a dozen (and sometimes more than 100) of files. Therefore, the major part of bioinformatics is connecting together different processing steps into a single pipeline, and then applying that pipeline to many other files repeatedly.

 

Importance of Biological Programming:

The most important purpose of biological programming is to deal with the huge amount of biological datasets and analyze them efficiently. As bioinformatics is an experimental science, consequently we have to utilize various programs and scripts to analyze the biological data computationally, otherwise we could use the same software and same parameters for every genome assembly. Learning to code opens up the full possibilities of computing, especially given that most bioinformatics tools exist only at the command line. 

Applying the statistical & mathematical practice to programming language helps in understanding the biological problems, in developing (bioinformatics) software, algorithms, models, and in comprehending this huge & complex biological data.

 

Biological Programming Languages:

Major languages being used for these purposes (biological data analysis and software development, etc) and their brief details are given below:

  • Python is an object-oriented and interpreter-based programming language and can be installed on any OS (Windows/Linux/macOS). There is a Python, which can perform every task which can be performed by the BioPerl, named BioPython, and unsurprisingly at this time the uptake of Python within the bioinformatics community is growing, given our belief that it is an easier but more powerful language to work with. 
  • R is a free open source software program used for programming statistics and graphics. Statisticians, scientists, analysts, data miners, and mathematicians use R programming to make calculations, conduct polls, and surveys. It is a highly powerful and extensible language with a programmable environment with command-line scripting. 

How to learn Biological Programming:

To be able to develop biological software or analyze biological data, one should have skills in programming language/computer scripting. So, if you already have skills in the biological analysis but you want to develop your skills in programming languages/scripting such as Python or R, you can join BioCode’s Gold Bioinformatics plans at a very affordable price. And if you don’t have any skills in dealing with biological data, you can get started from scratch by joining our Gem Bioinformatics plan. 

BioCode provides an interactive platform to learn biological programming in Python & R,  bioinformatics techniques, tools, databases, and biological data analysis in an interactive manner covering both theoretical and practical aspects of the computational biology topics; an interactive platform where fun meets work and you learn at your own pace, without being time-constrained.

To join our Bioinformatics plans, visit BioCode, and enroll yourself to develop your skills in bioinformatics.

 

How to avail our biological programming services?

More excitedly,  BioCode has brought a platform where bioinformaticians or students can provide their expertise to help others. BioinfoLytics is a platform that provides bioinformatics and computational biology services so we can help you with your research or your project in a very efficient and supportive manner.

The goal of BioinfoLytics is to provide you with the bioinformatics and computational biology services such as sequence alignment & analysis, genome analysis, bioinformatics scripting & software development, molecular docking, phylogenetic & phylogenomic analysis, protein structure prediction, functional analysis, biological database analysis, and biological data analysis & visualization And to provide you with a well-structured & faster analysis than the market in very affordable prices. 

If you couldn’t find the service/s you were looking for your project or research in our aforementioned services, it’s all right because you can request for a custom analysis/service according to your need and your research/project. 

All you have to do is visit BioinfoLytics, submit your project, we’ll confirm your order, you pay, and we’ll work on your project very efficiently within the specific deadline. Once your project is ready, you’ll be provided with a very manageable and comprehensive report which you can download through the high-end server so you can further work on your research. You will be provided with the chance of a maximum of 3 revisions and even after that if you are not satisfied with the work/analysis, we guarantee you a refund if you would request it within the next 7 days.

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