At UAB single faculties are teaching courses with focus on different topics in Computational Biology and Bioinformatics with few connections between them. Currently we are contacting those investigators to implement a complete training package in Computational Biology and Bioinformatics for students with different background interested to apply and/or develop computational methods to address biological problems. Main area of training will be in Integrative Biology, Biomedical Informatics, Computational Genomics and Structural Bioinformatics.
Biomedical Informatics
The main aim of the training in Biomedical Informatics is to provide the student knowledge about the most important databases collecting clinical data and analyze them using biological data from public available databases or data from EMR. At the end of the training the student will be able to browse the main databases at the NCBI collecting genomic and phenotype data, automatically query EMR systems and perform statistical tests to validate data driven hypothesis.
Comparative Genomics
The main aim of the Computational Biology and Bioinformatics training in Comparative Genomics is to provide the student knowledge about the analysis of biological sequences such as protein RNA and DNA. At the end of the training the student will be able to browse the main primary databases of sequence data, use algorithms for retrieval and comparison of biological sequences and run automatic tools for functional annotation.
Structural Bioinformatics
Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structure such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, and binding interactions, and structure/function relationships, working both from experimentally solved structures and from computational models. The term structural has the same meaning as in structural biology, and structural bioinformatics can be seen as a part of computational structural biology.
Biomedical Informatics
The main aim of the training in Biomedical Informatics is to provide the student knowledge about the most important databases collecting clinical data and analyze them using biological data from public available databases or data from EMR. At the end of the training the student will be able to browse the main databases at the NCBI collecting genomic and phenotype data, automatically query EMR systems and perform statistical tests to validate data driven hypothesis.
Comparative Genomics
The main aim of the Computational Biology and Bioinformatics training in Comparative Genomics is to provide the student knowledge about the analysis of biological sequences such as protein RNA and DNA. At the end of the training the student will be able to browse the main primary databases of sequence data, use algorithms for retrieval and comparison of biological sequences and run automatic tools for functional annotation.
Structural Bioinformatics
Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structure such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, and binding interactions, and structure/function relationships, working both from experimentally solved structures and from computational models. The term structural has the same meaning as in structural biology, and structural bioinformatics can be seen as a part of computational structural biology.