Webinar- Coding bacterial genetic information into structural attributes
25th October, 4PM CEST
Abstract: The conversion of genetic information into structural attributes pose as a novel way to characterize specific regulatory regions. In their webinar, the speakers will delve into how much valuable information can be obtained by a DNA sequence when it is converted into physico/structural/chemical features.
Dr. Scheila de Avila e Silva graduated in IT Management from the Universidade do Vale dos Sinos and Biological Sciences from the Universidade de Caxias do Sul. Her strictu sensu degree includes a Master’s in Applied Computing by the Universidade do Vale do Rio dos Sinos and a PhD in Biotechnology at the Universidade de Caxias do Sul. Currently, she is Associate Professor at the Universidade de Caxias do Sul. Dr. de Avila e Silva is a Faculty member in the Biotechnology post-graduation program and in the animal health post-graduation program. She is also a researcher in the Bioinformatics research group and supervises projects in the Computational Biology and Bioinformatics Laboratory. Dr. de Avila e Silva is experienced in data analysis and integration of biological databases and also the application of artificial intelligence techniques in genomic data. The current projects Dr. de Avila e Silva works on are related to bacterial promoter prediction and genomic annotation. She acts as ad hoc reviewer in national/international journals, including SN Applied Sciences and supervises students in undergraduate, masters, and doctorate levels.
MSc. Gustavo Sganzerla Martinez graduated in Computer Information Technology at the Universidade de Caxias do Sul and Californa State University, Northridge. His strictu sensu degree includes a master’s in biotechnology at Universidade de Caxias do Sul and ongoing doctorate in Biotechnology at Universidade de Caxias do Sul. Mr. Martinez is a vocational professor at Universidade de Caxias do Sul and also works with linguistics education. Gustavo is a researcher in the Computational Biology and Bioinformatics Laboratory at Universidade de Caxias do Sul and in the Nucleix Laboratory at Tezpur University (India). His senior doctorate research involves the identification of promoter sequences in the genome of archaea. The employment of data analysis techniques such as machine learning and artificial intelligence enabled Gustavo to experiment biological hypotheses in the technology area.