Session 2 | Introduction to Bioinformatics Databases | Python For Bioinformatics Bootcamp 1.0

#bioinformatics databases are significant collections of biological data that are structured and stored in a way that makes them easy to access and use by researchers.
These databases are filled with data on many different biological components, including genes, proteins, metabolites, pathways, and genomes.
Modern biological research relies heavily on bioinformatic databases because they give #researchers a way to access, process, and understand complicated biological data.
Researchers can investigate the connections between various biological entities, spot patterns and trends, and develop theories that can be put to the test through experimental study by utilising these databases.
Bioinformatic databases come in a wide variety of forms, each with a distinct purpose and scope.
For instance, information regarding the fundamental structure of biological molecules can be found in sequencing databases.
Pathway databases contain information about the interactions between various molecules within a biological pathway, whereas structure databases offer information about the three-dimensional structure of biological molecules.
Overall, bioinformatic databases are crucial #tools for contemporary biological research, giving #scientists a way to quickly and effectively retrieve vast amounts of complex data.