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Introduction to Bioinformatics: Analyzing Biological Data

Join the Short Course on Medical & Experimental Genetics for a deep dive into bioinformatics - organizing, retrieving, and manipulating biological data to unveil patterns and enhance statistical analysis. Learn from experts to handle complex disease genetics and analyze genetic information effectively.

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Introduction to Bioinformatics: Analyzing Biological Data

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  1. Introduction to Bioinformatics 55th Annual Short Course on Medical & Experimental Mammalian Genetics Jackson Laboratory, Bar Harbor, MaineJuly 21, 2014 Aravinda Chakravarti, PhD Johns Hopkins University School of Medicine aravinda@jhmi.edu

  2. Bioinformatics Sessions in the Short Course • Monday 7/21: Introduction • Wednesday 7/23: Handling Data - Deanna Church & Carol Bult • Thursday 7/24: Secrets of the Human Genome - Deanna Church & Carol Bult • Friday 7/25: Tools for analyzing your data - Deanna Church & Carol Bult • Tuesday 7/29: Statistical methods for complex disease genetics – Aravinda Chakravarti

  3. Today’s agenda • Introduction: Aravinda Chakravarti • Introduction to Bioinformatics Sessions: Carol Bult • Introduction to MGI: Joanne Berghout • Introduction to OMIM: Ada Hamosh

  4. Drinking from a fire hydrant

  5. Diverse computational needs The entire landscape of the data generated by our experiments has changed from defined focused tests of hypotheses to broad screens emanating from technologies that can produce massive amounts of data. • Bioinformatics:the science of organization, storage, retrieval, and manipulation of biological data to reveal patterns; • Computational Biology:model-based inference of function from structure (mutation detection from sequence, networks from expression, interactions from 3D structure, etc.) • Statistics: The analysis of data to distinguish signal from noise and to design experiments.

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