Bioinformatics

Developing bioinformatics tools for genomics analysis
Description / Emerging Technologies: 

Almost all living organisms share the same genetic coding (DNA) made by four chemical units. With this 4-letter language, DNA contains all the information necessary to build a complete organism, and each human cell has approximately three billion letters.

Massive genomics and the generation of biomedical data are producing a large amount of data that has led into Bioinformatics, which is a multidisciplinary field involving computer science, mathematics, biomedicine and, statistics, with the aim of processing, analyzing and extract knowledge from the huge amount of data generated by genomic research.

Bioinformatics is opening many possibilities for the development of multiple fields; This Line of Research is working with several technologies and technological trends, such as:

  • Cloud Computing and Big Data to provide scalable infrastructures for managing massive amounts of genomic data.
  • HPC for the execution of complex biological models.
  • Artificial Intelligence and Machine Learning:
    • Markow's hidden models for DNA / RNA sequencing
    • Bayesian Neural Networks, Deep Neural Networks for recognition and classification of partners
    • Support vector machines for classification of disease/patient/ case
    • K-means and other grouping algorithms for grouping/grouping
    • Algorithms based on fuzzy logic for gene sequencing
    • Text mining for data annotation
Critical Mass / Market: 

With the goal to increase the understanding of biological processes, Bioinformatics has multiple applications in the domains on medical research, microbial genome, antibiotic resistance, molecular/precision/personalize medicine, gene therapy, drug development, waste/cleanup biotechnology, agriculture, aquaculture, farming, veterinary and insect resistance, among others.

The work of the interdisciplinary field of Bioinformatics at ARI targets:

  • Expertise in R, Phyton, Matlab, Octave, among others for genomics analysis.
  • Expertise in the biomedicine domain.
  • Partners network in the biomedical community.
  • Shifting to big data/cloud paradigm.
Relation between the Research Line and Atos Portfolio : 

Atos Portfolio is being strengthened by the research on Bioinformatics and the development of tools made on European Projects focusing on biomedicine for sectors and activities such as agriculture, aquaculture, farming, veterinary, ecology, and biology.