In this fast-paced changing world where everyday new technologies are coming and new advancement in bioinformatics are occurring in the existing technologies as well. So is the case with Bioinformatics that regularly some new techniques are coming, advancements are taking place in the existing technologies. Integration of AI & ML are also turning out to be a major player in Bioinformatics.
As we all are aware of the size of the data, we are dealing with is huge whether it is Human data or any other species. So traditional methods are not going to be much helpful to us in this regard. Hence, we need to equip ourselves with the latest trends in Bio-IT to be able to develop more enhanced tools or to refine our pipe-lines even further.
- Already there are so many researchers who are using R for analysis of RNA Data and visualizing the NGS data for analysis.
- Some are using Python also for creating different pipelines for performing the analysis of the Data, use of different Analytics tools etc.
- But along with them we can use Machine Learning tools to speed up the process, in combination with Python & R.
- Then use of cloud storage & Cloud computing can also turn out to be a very useful resource in Bioinformatics. As, the computing power limitation will come down significantly. Use of deep learning tools along with Machine Learning or Automation tools can result in heavy difference in our understanding of the topic and the results which we can get from these technologies.
This is the New Era of Automation
The world is moving towards automation so can we. Along with developing new pipelines for analysis we also need to focus on the automation of these pipelines. So that the whole processes can run without human involvement which will decrease the amount of Human Error significantly and we can be assured that the results which we are getting are more accurate. Also, it will be very much helpful to the researchers that they won’t have to sit and do the manual labour instead just upload the data and let the pipe line do it’s own work.
So, it’s the high time we start looking into these latest advancements in the field of Bioinformatics and many more to come. It can help us carry out a lot more research much faster with more accurate results and better visualization for interpretating the results. Segregation of different data sets storing and retrieval of the data can be much easier as well.
In the end it depends upon us how we can utilize these latest advancements in technologies related to Bioinformatics in developing new analysis tools or Analysis & Visualization of our data. If you want to learn more about Bioinformatics than must Visit EdGene BioMed offering Best Bioinformatics Services and Training in India.