1 / 2

Understanding and Analyzing Complex Biological Data for Discoveries in Life Sciences

This course delves into the multifaceted nature of biological data and its analysis to uncover groundbreaking discoveries. Participants will gain insights into the complexities of data acquisition, experimental design, and the nuances of data curation, including the potential for errors. Attendees will explore methodologies for representing and classifying data, identifying relationships, and recognizing redundancy. Key topics include macromolecular structure, sequence-structure-function relationships, and cutting-edge algorithms. The course also highlights emerging themes in disorder, protein-protein interactions, drug discovery, and evolutionary biology.

harvey
Télécharger la présentation

Understanding and Analyzing Complex Biological Data for Discoveries in Life Sciences

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Workflow: understanding and representing complex biological data TO analysis of that data TO discoveries made through that analysis Understand the scope and complexity of the data Understand the experiment and the subsequent curation to understand the errors Understand how to best represent the data Identify relationships In the data Recognize redundancy In the data Classify the data Explore algorithms that analyze the data Make new biological discoveries from the data PHAR201 2012 Course Outline

  2. But What Does it Mean Pragmatically? • Details of macromolecular structure • Consider the experiments used to derive structure • Ontologies • Sequence-structure-function relationships • Structure classification • Algorithms to compare structures • Algorithms to define domains • Hot topics: Disorder • Hot topics: Structure-based PPIs • Hot topics: Drug discovery through structure and systems biology • Hot topics: Evolution studied through structure PHAR201 2012 Course Outline

More Related