The impact of the scientific development of Bioinformatics on the advancement of medicine, particularly on personalized medicine, is evident, making it essential to further research and the proposition of new methods and strategies. Likewise, it is necessary to improve our analytical capacity to explore and interpret omic data and the training of human resources to work in this highly multidisciplinary area. This Stic AmSud project comprises four big areas: Computer Science, Molecular Biology, Bioinformatics, and Health Sciences. Our project aims to contribute to personalized medicine seeking through the development of computational methods and strategies in a Bioinformatic context, to improve the creation of preventive measures for cancer and advance in diagnosis and prognosis precision of the disease.
University of Santiago de Chile
Chile
Structural Bioinformatics and Computational Biology Lab
Institute of Informatics
Center of Biotechnology
Federal University of Rio Grande do Sul
Brazil
Laboratory of Computational and Quantitative Biology
Institute of Biology
Paris-Seine
Sorbonne University - SU
France
Objective of the AICABI Workshop
This workshop aims to integrate researchers and students from the groups involved with the Stic AmSud project. This workshop will include students and researchers from Chile, Brazil, and France and open to the community in general.
Executive Committee
Dr. Márcio Dorn
Structural Bioinformatics and Computational Biology Lab
Institute of Informatics
Center of Biotechnology
Federal University of Rio Grande do Sul
Brazil
Dr. Mario Inostroza-Ponta
Department of Computer Engineering
University of Santiago de Chile
Chile
Dr. Juliana Bernardes
Laboratory of Computational and Quantitative Biology
Institute of Biology Paris-Seine
Sorbonne University - SU
France
If you have any questions, please contact us:
Márcio Dorn - mdorn@inf.ufrgs.br
Mario Inostroza-Ponta - mario.inostroza@usach.cl
Juliana Bernardes - juliana.silva_bernardes@SU.fr
Program
| Time | Monday (July 18, 2022) |
|---|---|
|
09:00 - 09:30
Centro de Eventos INF/UFRGS |
Opening
Márcio Dorn (UFRGS)
Mario Inostroza-Ponta (USACH)
Juliana Bernardes (SU)
|
|
09:30 - 10:00
+ 15 min discussion Centro de Eventos INF/UFRGS |
Reconstructing the evolutionary history of a BCR
lineage with minimum spanning tree and clonotype
abundances
Dr. Juliana Bernardes (SU)
|
|
10:15 - 10:45
+ 15 min discussion Centro de Eventos INF/UFRGS |
A deep memetic algorithm for multiobjective
clustering of gene expression data
Juan Giglio (USACH)
|
|
11:00 - 11:30
+ 15 min discussion Centro de Eventos INF/UFRGS |
Wrapper-based Feature Selection Using Differential
Evolution for Microarray Analysis
Gabriel Dominico (UFRGS)
|
| 12:00 - 14:00 | Lunch |
|
14:00 - 14:30
+ 15 min discussion Centro de Eventos INF/UFRGS |
Transcriptomic analysis of long non-coding RNA
during Candida albicans infection
Gabriela Flores Gonçalves (UFRGS)
|
| 15:00 - 16:30 | SticAmsud - Planning Activities |
| Time | Tuesday (July 19, 2022) |
|---|---|
|
09:30 - 10:00
+ 15 min discussion Centro de Eventos INF/UFRGS |
Structural Bioinformatics at UFCSPA: results in a
university exclusively focused on health
Rodrigo Ligabue-Braun (UFCSPA)
|
|
10:15 - 10:45
+ 15 min discussion Centro de Eventos INF/UFRGS |
Identification of biomarkers for colorectal cancer
through feature selection using a multi-target
approach
Sebastián Aliaga (USACH)
|
|
11:00 - 11:30
+ 15 min discussion Centro de Eventos INF/UFRGS |
Visualization of Feature Scoring Algorithms with t-SNE
Bruno Iochins Grisci (UFRGS)
|
| 12:00 - 14:00 | Lunch |
|
14:00 - 14:30
+ 15 min discussion Centro de Eventos INF/UFRGS |
Attention Learning for biomarker discovery using
gene expression data
Flavielle Blanco Marques (UFRGS)
|
|
15:00 - 16:30
CBiot/UFRGS |
International Research Laboratory for Applied Machine Learning and Data Science - Planning Activities |
| Time | Wednesday (July 20, 2022) |
|---|---|
|
09:30 - 10:00
+ 15 min discussion Centro de Eventos INF/UFRGS |
Taxonomic and functional characterization of
gastrointestinal metagenome associated with
colorectal cancer using optimization and machine
learning techniques
Manuel Adrian Riveros Escalona (UFRGS)
|
|
10:15 - 10:45
+ 15 min discussion Centro de Eventos INF/UFRGS |
Transcriptome Analysis: from the study of gene
expression to the forecast of seed germination
chances
Valentin Gherdol (SU)
|
|
11:00 - 11:30
+ 15 min discussion Centro de Eventos INF/UFRGS |
Improving diversity in NSGA-II for the
multiobjective clustering problem
Pamela Landero (USACH)
|
| 12:00 - 14:00 | Lunch |
|
14:00 - 15:00
CBiot/UFRGS |
Use of a multiplex molecular marker system for
identification and geographic inference of Cannabis
sativa
Lucas Ribeiro (PUCRS)
|
|
15:00 - 16:30
CBiot/UFRGS |
SticAmsud - Planning Activities |
