Bioinformatic Methods I

This course is part of Plant Bioinformatic Methods Specialization

Instructor: Nicholas James Provart

Skills you'll gain

  •   Data Analysis Software
  •   Data Mining
  •   Bioinformatics
  •   Databases
  •   Analysis
  •   Molecular Biology
  •   Biology
  •   Statistical Analysis
  •   Life Sciences
  • There are 8 modules in this course

    Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. The second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like BIO101 from Saylor Academy (https://learn.saylor.org/course/view.php?id=349) might be helpful. No programming is required for this course. Bioinformatic Methods I is regularly updated, and was completely updated for January 2024.

    Blast II/Comparative Genomics

    Multiple Sequence Alignments

    Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments

    Phylogenetics

    Selection Analysis

    'Next Gen' Sequence Analysis (RNA-Seq) / Metagenomics

    Review: Phylogenetics, Selection Analysis, and 'Next Gen' Sequence Analysis (RNA-seq)/Metagenomics + Final Assignment

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