Humans have always been curious, since we discovered how two sticks could form fire until now, with a technological era. There is one expression that says, “you will always go to sleep knowing at least one new thing”. Humans need to know the answers to the multiple questions that are present in life: from the simplest question such as “What time is it?” to the most complex one such as “Are we the only ones in the universe?”. Some of them have been answered and some of them will never be answered.

Life Science is a huge field that also has a lot of questions to be resolved. How is cancer originated? Will we be able to eradicate it one day? An unprecedented wealth of biological data has been generated by humans with the passing of years, and the huge demand for analysis and interpretation of these data has made Bioinformatics expand with a great emergence in the last years. Bioinformatics is an interdisciplinary field that includes computer science, mathematics, physics, and biology. It is essential for the management of data in modern biology and medicine(Bayat, n.d.). All the information generated needs to be placed somewhere, and the increment of it has created a huge complexity in analysing it. This complexity is far beyond human thought, and such technologies as machine learning, data mining, text analysis, and data integration have been useful to develop methods for analysing protein’s structure and function, RNA and DNA data, …(Chan et al., 2016)

On the other hand, the need of monitoring biological or biochemical processes has led to create one of the most important advances for medical and biological applications. Biosensors are devices that combine a biological component to detect an analyte and a physicochemical component to produce a signal which is measurable (Michelmore, 2016). The development of sensitive, specific, and cost-effective biosensors contributes to the early and precise diagnosis in medicine(Kawamura & Miyata, 2016).

In the last years, bioinformatics has helped to increase knowledge with tools such as BLAST, molecular docking, or Alphafold. Moreover, the use of bioinformatics tools with proteomics and genomics has significantly increased the knowledge into discovering new biomarkers that can be used for early detection (Tothill & Altintas, 2015). As consequence, nowadays biosensors are trying to be more portable, which sometimes means that sensitivity and specificity can be lost. For this reason, the implementation of bioinformatics in this field could help to improve not only the data treatment but also the accuracy of the detection in small devices, which would be an important advance in science.


Bayat, A. (n.d.). Science, medicine, and the future Bioinformatics.

Chan, S. H., Lee, S. Y., Fang, Q., & Ma, H. (2016). Integration of Bioelectronics and Bioinformatics: Future Direction of Bioengineering Research. In Journal of Medical and Biological Engineering (Vol. 36, Issue 6, pp. 751–754). Springer Berlin Heidelberg.

Kawamura, A., & Miyata, T. (2016). CHAPTER OUTLINE 4.2.1 Conventional Biosensors and Biosensing Techniques. In Biomaterials Nanoarchitectonics.

Michelmore, A. (2016). Thin film growth on biomaterial surfaces. In Thin Film Coatings for Biomaterials and Biomedical Applications (pp. 29–47). Elsevier.

Tothill, I., & Altintas, Z. (2015). Molecular biosensors: promising new tools for early detection of cancer. Nanobiosensors in Disease Diagnosis, 1.

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