Laboratorio de Ciencias de Datos y Genómica

Research Area: human health, genomics, precision medicine, data science, artificial intelligence, statistics.

Our laboratory is a dynamic hub where cutting-edge technologies meet innovative research methodologies. We specialize in the analysis of complex biological data, particularly focusing on genomics. By leveraging advanced computational techniques and artificial intelligence (AI), we aim to decode the mysteries of the genome and translate our findings into tangible solutions for various scientific and societal challenges. We focus on:

Transcriptomics and Gene Expression Profiling:

• Through RNA-seq, we decipher gene expression patterns across different conditions.
• Our research elucidates regulatory mechanisms and signaling pathways underlying biological processes.

Precision medicine:

• Our laboratory contributes to the development of personalized healthcare approaches based on individual genomic profiles and biological characteristics, improving diagnosis and treatment outcomes.

Integrative Data Analysis:

• We integrate multi-omics data, including genomics, transcriptomics, and epigenomics, to provide holistic insights into biological systems.
• Advanced computational algorithms and machine learning techniques drive our data analysis pipeline, facilitating the extraction of meaningful information from complex datasets.

Exploratory Data Analysis:

• We conduct exploratory data analysis to uncover patterns, trends, and relationships within the data. This phase helps us generate hypotheses and guide subsequent analyses.

Statistical Modeling:

• We employ a range of statistical techniques, including regression analysis, survival analysis, time series analysis, and machine learning algorithms, to extract meaningful insights from the data. These models enable us to examine associations, make predictions, and identify factors influencing outcomes.

Data Visualization:

• We leverage techniques to present findings in a clear, interpretable manner. Visualizations such as charts, graphs, and interactive dashboards help communicate complex results, facilitating data-driven decision-making.