Bioinformatics is the data science for biological data and has become central to the process of biological discovery. Instead of just accumulating knowledge from experimental observations, life scientists everywhere are generating more and more data to catch patterns that can explain the amazing variety and dynamics of biological systems. That is why data science skills (such as coding in R and Python for Bioinformatics Analysis) are becoming so important for everyone involved – laboratory technicians, researchers, and clinicians.
There are simply not enough trained bioinformaticians to conduct all of the analysis that has to be done to process, explore, visualize and integrate such huge datasets as the ones being produced daily by labs around the world. With the increasingly affordable and accessible technologies like Oxford Nanopore and even some of the Illumina sequencing, the data used for major publications leave vast portions of the collected information unreported. And all the stored data in publicly accessible databases is left unanalyzed.
But how can biologists take advantage of such data – to generate hypotheses for new studies, find trends and data points to understand mechanisms, or apply machine learning to train a predictive model? It is obvious that a big part of making such tasks possible, one must be able to efficiently handle various types of datasets and apply analysis methods correctly to study them. While the T-BioInfo platform offers a reliable and reproducible environment for most such tasks, there are additional downstream analysis challenges that are best left for R and Python coding.
That is why we are launching a new component for Omics Logic training programs. Code Playground is a space for learning standard analysis techniques for genomic, transcriptomic, and metagenomic data that rely on established packages and libraries designed for biological discovery by experts. The code playground will be a component of the Omics Logic training programs and can be used separately or together with the T-BioInfo platform.
Code Playground is a great way to start with R and Python for Bioinformatics and learn about the effective use of existing packages and libraries for omics data analysis. Get started with Omics Logic Code Playground in our introductory free lessons: https://code.omicslogic.com/