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DNA Research using Biopython
Rating: 4.1 out of 5(210 ratings)
4,921 students

DNA Research using Biopython

An Introduction To Bioinformatics
Created byBrian Rouse
Last updated 10/2017
English
English [Auto],

What you'll learn

  • DNA
  • RNA
  • GENOMES
  • CHROMOSOMES
  • BIOINFORMATICS
  • BIOPYTHON
  • ANACONDA IDE
  • SPYDER FRAMEWORK

Course content

3 sections9 lectures1h 0m total length
  • INTRO TO DNA7:40

    Explore the structure and role of DNA, including the double helix, nuclear and mitochondrial genomes, replication, transcription to mRNA, and translation into proteins that drive life.

  • DNA ARCHETYPE6:58

    Explore how DNA's double helix copies itself through complementary bases and semi-conservative replication, highlighting helicase, primers, DNA polymerase, and the leading and lagging strands with Okazaki fragments.

  • DNA SEQUENCING: PART 17:50

    Demonstrate how DNA sequencing determines the order of bases by fragmenting DNA, amplifying with plasmid DNA in bacteria, and using terminator bases with color-coded fluorescence read by capillary electrophoresis.

  • DNA SEQUENCING: PART 20:59

    Show the sequence process with a thermal cycler in summary. Heat to 95 C (The Nature ration), 55–65 C (a mealing), then 72 C for DNA polymerase primer extension.

  • PROTEIN BIOSYNTHESIS3:04

    The nucleus houses the genome and chromosomes; RNA polymerase initiates transcription to produce messenger RNA that moves to the cytoplasm where amino acids are assembled into proteins.

Requirements

  • Student should have basic knowledge of some Object Oriented Programming Language.

Description

DNA Research using Biopython, An Introduction To Bioinformatics, is a crash hacker course that will teach you Hybrid Developer skills. You will use your existing OOPL development skills to fly through python code effortlessly. You will first learn what is deoxyribonucleic acid (DNA) and how to work with it to simultaneously implement medical research and python code to work toward and infer a solution. You will learn how to use biopython and its libraries to help you research 

  • Statistics
  • Datasets
  • Genomes
  • Neucleotides
  • Chromosomes
  • mRNA 
  • DNA sequences.  

DNA Research using Biopython, An Introduction To Bioinformatics course asks you but one important question. Will you find the next big cure?

Who this course is for:

  • Students that aspire a career in Bioinformatics with an emphasis on DNA Research.